TimesPro’s Management & Tech Programmes

IIM Amritsar Executive Master of Business Administration

IIM Amritsar offers a two-year Executive Master of Business Administration (EMBA) program tailored for working professionals aiming to enhance their leadership and strategic skills. The program is delivered in a hybrid format, combining live virtual classes with on-campus immersions.

The Executive MBA (EMBA) program offers a comprehensive, multidisciplinary approach to business management. Delivered in a hybrid format, it includes three on-campus visits per year, complemented by live virtual classes. Online sessions are conducted via video conferencing through an interactive learning management system, with weekend classes held on Saturdays and Sundays.

Tailored for executives, the program provides a seamless blend of online learning and exams while maintaining opportunities for networking in both physical and virtual environments. It equips participants with the skills to devise strategies for tackling complex business challenges, build high-performing teams, and drive organisational change for sustained competitive advantage.

Spanning two years and over 750 hours of coursework, the EMBA program allows participants to engage closely with IIM Amritsar faculty and a diverse group of industry leaders. The curriculum includes a well-structured mix of core courses and relevant electives, catering to the professional aspirations of working individuals. At a time when India requires visionary business leaders to sustain economic growth, this EMBA program serves as a stepping stone for shaping the nation’s future business landscape.

Program Structure:

• Duration: 2 years
• Mode: Hybrid (live virtual classes on weekends and two on-campus visits per year)
• Programme Starts: 1^st June, 2025
• Class Schedule: Saturdays (9:00 AM to 5:00 PM) and Sundays (9:00 AM to 3:30 PM)
• Total Contact Hours: Over 750 hours

Curriculum Highlights:

• Year 1: Focus on core management disciplines such as Entrepreneurship, Finance, Marketing, Strategy, Organisational Behavior, and Operations.
• Year 2: Advanced topics including Security Analysis, Portfolio Management, and Business Intelligence.
• Additional Components: Integrated field projects, capstone simulations, and an optional international immersion module.

Eligibility Criteria:

Work Experience:

• A minimum of three years of progressive experience in a managerial, entrepreneurial, or professional role as of May 31, 2025, post-completion of graduation.

Academic Qualifications:

• A bachelor’s degree in any discipline with a strong academic record.
• A valid CAT, GMAT, or GRE score is required for application.

Alternatively, candidates can opt to take the IIM Amritsar Admission Test (IAAT), which follows a structure similar to the CAT exam.

Program Fees:

• Total Fee: ₹10,74,000
• Includes: Tuition, library access, reading materials, and on-campus stay and meals during immersion modules.
• Excludes: Travel expenses to and from the campus.

 

IIM Calcutta Executive Programme In Sales & Marketing

The IIM Calcutta Executive Programme in Sales and Marketing offers a valuable opportunity for participants to gain a comprehensive understanding of evolving sales and marketing frameworks and their integration with other business functions. This program is designed to equip professionals with the essential knowledge and skills to drive organisational growth, strengthen customer relationships, and enhance overall business performance.

The Indian Institute of Management Calcutta (IIM Calcutta) offers the Executive Programme in Sales & Marketing (EPSM), designed to equip professionals with advanced skills in sales and marketing strategies. This 12-month program combines online learning with on-campus immersions, providing a comprehensive educational experience.

Program Highlights:

• Duration: 12 months
• Mode: Online sessions complemented by two campus visits (3 and 4 days each)
• Programme Starts: 9^th March, 2025
• Class Schedule: Sundays, 10:00 AM – 1:00 PM
• Program Fee: ₹4,30,000 plus GST
• Certification: Awarded by IIM Calcutta
• Alumni Status: Executive Education Alumni status from IIM Calcutta

Eligibility Criteria:

• Academic Qualification: Graduates or postgraduates in any discipline from a recognised university with a minimum of 50% marks
• Work Experience: At least 2 years of full-time, paid employment post-graduation as of the application closure date

Program Content:

Level	Module	Topics Covered
Level 1: General Management for Marketing	Module 1: Fundamentals of Management	– Economics for the Digital Age – Financial Acumen for Digital Sales and Marketing – Porter’s Five Forces – PESTEL Analysis – SWOT Analysis
	Module 2: People Skills for Sales and Marketing Professionals	– Interpersonal Skills for Virtual Teams – Emotional Intelligence in Remote Work Settings
Level 2: Specialised Modules in Marketing	Module 3: Marketing Fundamentals	– Introduction to Marketing – Marketing vs Selling – Needs vs Wants vs Demand – 4Ps of Marketing – Holistic Marketing – Marketing Environment
	Module 4: Marketing Research & Analytics	– Introduction to Marketing Research – Marketing Research Methods & Techniques – Descriptive & Inferential Analytics – Predictive & Prescriptive Analytics
	Module 5: Managing Products, Services & Brands	– Innovations in Service Design & Delivery Using Technology – Implementing Quality Management Systems in Service Industries – Introduction to Branding – Brand Management in the Digital World – Product & Brand Management in the Social Media Landscape
	Module 6: Consumer Behaviour	– Digital Consumer Decision-Making Processes – Impact of Social Media, Online Reviews & Influencer Marketing on Consumer Behaviour
	Module 7: Pricing Decisions	– Dynamic Pricing Algorithms & Strategies – Price Optimisation Models for E-commerce
	Module 8: Integrated Marketing Communications & Digital Marketing	– Marketing Communication Mix & Strategy – Creating an Effective Communications Plan – Introduction to Digital Marketing & its Types – Digital Marketing Strategy – Search Engine Marketing (SEM) (Paid Search, SEO, Gen AI Impact) – Social Media Marketing (Paid & Organic) – Strategic Use of Social, Search, Media & Content Marketing – Branding in the Digital World – Managing Digital Campaigns Across Platforms – Online Reputation Management – Integrated Marketing Communications in the Age of Influencers
	Module 9: Marketing Strategy (Simulation)	– Simulating Strategic Marketing Decisions – Innovation Management & Disruptive Strategy in Marketing – ROI of Marketing Strategies
	Module 10: AI & ML for Marketing	– Predictive Analytics & Machine Learning in Marketing – Use of Gen AI in Content, Pricing & Promotions – Big Data & Personalised Customer Experiences – Automation & Generative AI
	Module 11: Customer Relationship Management (CRM)	– Digital CRM & Personalisation – Customer Lifetime Value (CLV) Analysis – Integrating CRM & ERP Systems – CRM Systems & Sales Automation
Level 3: Specialised Modules in Sales	Module 12: Sales, Distribution, Retailing & E-Commerce	– Digital Distribution Channels – Sales Performance Metrics & KPIs – Sales Forecasting & Predictive Analytics – Sales Data Visualisation & Reporting – Sales Enablement Tools & Techniques – Managing Remote Sales Teams – Analytics for Sales Performance Optimisation – Omnichannel Market Analysis & Planning
	Module 13: B2B Sales & Marketing	– Digital Channel Strategies & E-commerce Solutions for B2B
	Module 14: Basic Negotiation Skills for Sales	– Fundamental Negotiation Skills for Sales

 

IIM Indore’s Executive Programme in Digital Transformation

The Indian Institute of Management Indore (IIM Indore) offers the Executive Programme in Digital Transformation (EPDT), a 12-month course designed to equip professionals with the skills necessary to lead and manage digital initiatives within their organisations. This program combines online learning with on-campus immersion, providing a comprehensive understanding of digital transformation strategies and technologies.

Program Highlights:

• 3-day campus immersion at IIM Indore
• Opportunities for peer learning and networking
• Executive Alumni status from IIM Indore
• Emphasis on real-world business applications

• Duration: 12 months
• Start Date: 30^th March, 2025
• Mode: Blended learning with online sessions and a 3-day on-campus immersion at IIM Indore
• Class Schedule: Saturdays*
  First session: 05:30 p.m. to 06:45 p.m.
  Second session: 07:00 p.m. to 08:15 p.m.
• Program Fee: ₹2,50,000 plus GST
• Certification: Participants will receive a certificate upon successful completion of the program
• Alumni Status: Executive Education Alumni status from IIM Indore

Eligibility Criteria:

• Work Experience: Minimum of three years.
• Educational Qualification: Diploma (10+2+3), Bachelor’s, or Master’s degree from a recognised university with at least 50% aggregate marks.

Course Content

Module	Topics Covered
1. Introduction to Digital Transformation	Overview of digital transformation concepts, Role and importance of digital transformation, Economic impact on businesses
2. Digital Business Models	Overview of digital business models, Multi-sided markets and platform models, Innovating business models in the digital era
3. Key Technologies	Data ecosystems, Role of AI in business transformation, Machine learning applications, Data visualisation techniques, IoT integration, Cloud computing
4. Financial Aspects of Digital Transformation	Investment analysis, Financial modeling, ROI calculation, Budget management, FinTech innovations
5. AI and Generative AI Applications	Introduction to Generative AI, AI integration strategies, Advanced AI applications, AI in marketing and supply chain management
6. Privacy and Security in Digital Enterprises	Data security, Global privacy laws, Advanced security solutions
7. Business Model Innovation	Design thinking, Business model testing and implementation, Industry case studies
8. Change Management and Leadership	Leadership in digital transformation, Change management strategies, Digital culture, Managing tech-focused teams
9. Emerging Technologies	Blockchain applications, Robotics and automation, Quantum computing, AR/VR in business
Project and Industry Insights	Designing relevant projects, Practitioner’s insights, Digital transformation case studies

 

Dr.D.Y.Patil Vidyapeeth-Master of Business Administration (MBA)

With a strong foundation in the education sector as part of the esteemed legacy of Dr. D. Y. Patil Vidyapeeth, Pune, the Centre for Online Learning (DPU-COL) aims to expand access to quality education beyond geographical limitations.

Designed to meet the evolving needs of modern learners, DPU-COL equips students with essential knowledge and industry-relevant skills. Its online programs are carefully structured to develop managerial and leadership abilities, effectively bridging the gap between industry expectations and student competencies.

Taking online education to the next level, DPU-COL introduces India’s first Comfort Learning Platform, enhancing the online learning experience with thoughtfully curated features. The curriculum, developed by industry experts and leading academicians, emphasizes real-world business case studies and practical applications.

With prestigious accreditations and a strong network of recruiters, DPU-COL stands as a center of excellence in online education, offering learners a competitive edge in their careers.

Program Highlights:

• Choice Based Credit System (CBCS): Allows students to tailor their learning experience by selecting courses that align with their career goals.
• Flexible Learning: The online MBA program offers recorded lectures, webinars, and assignment-based studies, enabling students to learn at their own pace.
• Global Exposure: Incorporates international content and offers courses in collaboration with platforms like EdX.
• Support Services: Provides 24×7 helpline support, access to e-library resources, and placement assistance to enhance the student experience.

• Guaranteed Placement Support through a strong alumni network and corporate collaborations
• 15 Industry-Focused Specialisations to choose from
• Extensive Alumni Network with global connections
• Hands-On Internship Projects guided by industry experts
• Personalised Mentorship with a dedicated mentor for each student
• Advanced Learning Management System to track progress and development
• Duration: 2 years, divided into four semesters.
• Mode: Available in both online and on-campus formats, accommodating working professionals and full-time students.
• Program Fee: ₹1,69,200 plus GST.

Specialisations Offered:

Students can choose from a variety of specialisations, including:

• Sales and Marketing
• Human Resource Management
• Hospital and Healthcare Management
• Finance
• Retail Management
• Logistics & Supply Chain Management
• International Business
• Entrepreneurship Management
• Event Management
• Digital Marketing
• Data Science and Business Analytics

These specialisations are designed to align with current industry demands and emerging business trends.

Eligibility Criteria:

• Educational Qualification: Bachelor’s degree in any discipline from a recognised university with a minimum of 50% aggregate marks (45% for reserved categories).
• Work Experience: While not mandatory, relevant work experience may enhance the learning experience, especially for certain specialisations.

 

Manipal University Jaipur – Master of Business Administration

Manipal University Jaipur (MUJ) offers an Online Master of Business Administration (MBA) program designed to prepare students for leadership roles across various industries. This two-year program provides a comprehensive curriculum with a focus on practical skills and industry relevance.

Advance your leadership career with the prestigious Online MBA program from Manipal University Jaipur, one of India’s top online MBA institutions. This program equips you with industry-relevant knowledge while allowing you to connect with like-minded professionals striving to become future leaders. Customise your learning experience by choosing modern electives and acquiring practical, market-ready skills. With interactive learning methods, including live online sessions and extensive self-study materials, you can progress at your own pace. Covering key domains like Marketing, Finance, HR, and Retail, Manipal University Jaipur’s Online MBA ensures flexible and comprehensive learning tailored to your schedule.

Program Highlights:

• Duration: 24 months

• Course Fee: ₹1,75,000

• Class Schedule: Live online sessions are held on Saturdays from 6:45 P.M. to 9:45 P.M.

• Accreditation: The program is recognised by the University Grants Commission (UGC) and is offered by a university accredited with an ‘A+’ grade by the National Assessment and Accreditation Council (NAAC).

• Learning Resources: Students have access to over 1,000 hours of live and recorded lectures, interactive learning materials, and real-world case studies.

• Career Support: The program includes career counseling and placement assistance to help students advance in their professional journeys.

Eligibility Criteria:

• Educational Qualification: A Bachelor’s degree (10 + 2 + 3) from a recognised university or institution, or an equivalent qualification recognised by the Association of Indian Universities, in any discipline.

• Minimum Marks: At least 50% aggregate marks (45% for reserved categories).

• Entrance Exam: A valid score from any aptitude test (CAT/MAT/CMAT/XAT/GMAT). Candidates without such a score must successfully complete the online aptitude test conducted by Manipal University Jaipur as per admission norms for the Online MBA program.

Course Structure:

Semester	Courses
Semester I	Management Process and Organisational Behaviour, Business Communication, Statistics for Management, Financial and Management Accounting, Managerial Economics, Human Resource Management
Semester II	Production and Operations Management, Financial Management, Marketing Management, Management Information System, Operations Research, Project Management
Semester III	Research Methodology, Legal Aspects of Business, Four Elective Courses in the Chosen Area
Semester IV	Strategic Management and Business Policy, International Business Management, Business Leadership, Four Elective Courses in the Chosen Area, Projects

Electives for Semester III

Specialisation	Courses
Finance	Security Analysis and Portfolio Management, Mergers and Acquisitions, Taxation Management, Internal Audit and Control
Marketing	Sales Distribution and Supply Chain Management, Consumer Behavior, Retail Marketing, Marketing Research
Human Resource Management	Manpower Planning and Sourcing, Management and Organisational Development, Employee Relations Management, HR Audit
Analytics and Data Science	Programming in Data Science, Exploratory Data Analysis, Introduction to Machine Learning, Visualisation
Retail Management	Enterprise Resource Planning (ERP), Retail Customer Relationship Management, IT in Retail, Operations Management
Banking, Financial Services, and Insurance	Bank Management and Financial Risk Management, Financial Statement Analysis and Business Valuation, Principles and Practices of Insurance, Financial Services
IT and FinTech	Database Management Systems, Software Engineering, Technology Management, Business Intelligence and Tools
Operations Management	Advanced Production and Operations Management, Enterprise Resource Planning, Logistics and Supply Chain Management, Applications of Operations Research
International Business	International Financial Management, International Marketing, Management of Multinational Corporations, Export-Import Management
Information System Management	Software Engineering, Database Management Systems, Computer Networks, Business Intelligence and Tools
Project Management	Introduction to Project Management, Project Planning and Scheduling, Project Finance and Budgeting, Managing Human Resources in Projects
Supply Chain Management	Supply Chain Management, Outsourcing, Food Supply Chain Management, Inventory Management
Total Quality Management	Foundation of Quality Management, Quality in Service Industries, Statistical Process Control, TQM Tools and Techniques

Electives for Semester IV

Specialisation	Courses
Finance	International Financial Management, Treasury Management, Merchant Banking and Financial Services, Insurance and Risk Management
Marketing	Services Marketing and Customer Relationship Management, Advertising Management and Sales Promotion, E-Marketing, International Marketing
Human Resource Management	Compensation and Benefits, Performance Management and Appraisal, Talent Management and Employee Retention, Change Management
Analytics and Data Science	Advanced Machine Learning, Unstructured Data Analysis, Business Analytics, Data Scraping
Retail Management	International Retailing, Entrepreneurship in Retail Business, Rural Retailing, Retail Marketing Environment
Banking, Financial Services, and Insurance	ALM & Treasury Management, Basel Regulations & Risk Management in Banking, Life Insurance Management, General Insurance Management
IT and FinTech	E-Commerce, FinTech Payments and Regulations, Cryptocurrency and Blockchain, Enterprise Resource Planning
Operations Management	Services Operations Management, Total Quality Management, Production Planning and Control, Advanced Project Management
International Business	Foreign Trade of India, Global Logistics and Distribution Management, International Business Environment and International Law, Export-Import Finance
Information System Management	Enterprise Resource Planning (ERP), E-Commerce, Technology Management, Java and Web Design
Project Management	Quantitative Methods in Project Management, Project Risk Management, Project Quality Management, Contracts Management in Projects
Supply Chain Management	Global Logistics and Supply Chain Management, Category Management in Purchasing, Purchasing and Contracting for Projects, Supply Chain Cost Management
Total Quality Management	Understanding ISO 9001, Managing Quality in the Organisation, Quality Standards and Models, Quality Concepts Tasks and Development

 

IIT Delhi’s Executive Programme in Advanced Product Management

The Executive Programme in Advanced Product Management offered by the Indian Institute of Technology (IIT) Delhi is a six-month online course designed to equip professionals with the skills necessary to excel in product management roles. This program provides hands-on experience in customer discovery and utilises state-of-the-art prototype development processes and tools for both physical and digital products.

Program Highlights:

• Offered by the Department of Management Studies (DMS), IIT Delhi, ranked #4 in NIRF 2024 and #2 in India as per QS World University Rankings 2024.
• Practical exposure to customer discovery techniques.
• Access to cutting-edge prototype development tools and methodologies.
• 60 hours of live online sessions conducted by IIT Delhi faculty and industry experts.
• Certification from IIT Delhi’s Continuing Education Programme (CEP).
• Duration: 6-month online program designed for working professionals.
• Start Date: March 30, 2025
• Class Schedule: Saturday 10:00 AM to 01:30 PM (IST)
• Program Fee: ₹1,69,00 plus GST. (Installment available)

Programme Curriculum

Module	Topics Covered
Module 1: Introduction to Product Management	Product Management skills, hierarchy, job roles, industry types, and product management tools.
Module 2: Product Strategy	Product vs. service vs. platform, MVP, product vision, product roadmap, marketing mix, competitive analysis, and B2B/B2C strategies.
Module 3: Product Development	New product development, stage-gate process, digital vs. non-digital product development, agile methods, and cross-functional collaboration.
Module 4: Product Design and Discovery	UI/UX principles, user experience tools, A/B testing, feedback loops, prototype development, and design thinking for products and services.
Module 5: Product Validation & Testing	Functional & non-functional testing, UAT, regression testing, stress & load testing, testing tools (Selenium, JIRA, TestRail), and compliance documentation.
Module 6: Product Lifecycle & Product Line Decisions	Stages of product lifecycle, strategic planning, product line decisions, lifecycle management for digital and non-digital products.
Module 7: Product Engineering	Product ideation, architecture, migration, porting, and technical support.
Module 8: Product Marketing and Launch	Product launch steps, STP strategies, go-to-market planning, and analytics-driven decision-making.
Module 9: Product Analytics	Data science for product decisions, marketing analytics, predictive modeling, revenue optimisation, and AI-driven insights.
Module 10: Product Growth and Scaling	Monetisation frameworks, customer acquisition and retention strategies, and action plans for sustained growth.
Module 11: Product Monetisation	Revenue models, pricing strategies, revenue stream evaluation, and monetisation of user segments.
Module 12: Product Leadership	Leadership frameworks, strategic vision, team management, and execution strategies.
Bonus	Career assessment, career assistance, and interview preparation.

Eligibility Criteria:

• Educational Qualification: Graduation from a recognised institute or university
• Work Experience: Internship, project, or work experience is preferred
• Additional Consideration: Candidates appearing for final year graduation exams are also eligible to apply

 

The Certificate Programme in Advanced Deep Learning offered by the Indian Institute of Science (IISc) Bangalore is an 8-month online course designed to provide professionals with a comprehensive understanding of deep learning and reinforcement learning. The program is structured to balance theoretical foundations with practical applications, ensuring participants gain hands-on experience with industry-relevant tools and techniques.

Programme Highlights:

• 8-month online course for flexible learning
• Live tutorials to enhance understanding
• Advanced certification from IISc Bangalore
• Expert-led sessions by IISc faculty for an unmatched learning experience
• Industry-relevant tools like PyTorch, Gym, and more
• Hands-on practice with real-world projects and a capstone project
• Duration: 8 months
• Programme Fees: ₹1,99,000 plus GST.
• Start Date: March 30, 2025
• Class Schedule:

  Saturday: 2:00 PM to 3:30 PM & 4:00 PM to 5:00 PM
  Sunday: 10:00 AM to 11:00 AM

• Mode: Online, featuring live tutorials and a one-day campus visit to IISc Bangalore
• Practical Exposure: Hands-on projects and a capstone project to apply learned concepts

Programme Content

Module	Topics Covered	Learning Outcomes
Module 1: Introduction and Basics	Introduction to Deep Learning, Deep Reinforcement Learning, Basics of Probability, Linear Algebra, Optimisation	Strong foundation in probability, linear algebra, and optimisation for deep learning applications
Module 2: Linear Models for Regression and Classification	Linear models, Least squares, Logistic regression, Generative & Discriminative models, Bayesian View, EM Algorithm, K-means Clustering, PCA	Fundamental understanding of machine learning concepts for future modules
Module 3: Foundations of Neural Networks	Nonlinear models, Multilayer Perceptrons, Backpropagation, Gradient Descent, Optimisation techniques (ADAM, Dropout), Cross-entropy loss	Deep understanding of neural networks and backpropagation
Module 4: Deep Learning and Models	Convolutional Neural Networks (CNNs), RNNs (GRU, LSTM), Transformers, Attention Models, Deep Generative Models (RBM, VAE, GAN)	Practical insights into deep learning models and their applications
Module 5: Foundations of Reinforcement Learning	Multi-armed bandits, Markov Decision Processes (MDPs), Numerical solutions	Ability to formulate real-world problems using RL frameworks
Module 6: Model-Free Approaches under Full-State Information	Monte-Carlo Algorithms, Temporal Difference Learning, Q-learning/SARSA, Double Q-learning	Understanding of basic RL algorithms and their applications
Module 7: Model-Free Approaches with Parametric Optimisation	Function Approximation, Policy Gradient Methods, REINFORCE Algorithm, Actor-Critic Algorithms	Understanding of function approximation and reinforcement learning strategies
Module 8: Deep Reinforcement Learning Algorithms	Deep Q-Network (DQN), Trust Region Policy Optimisation (TRPO), Proximal Policy Optimisation (PPO), A3C, GAE	Mastery of Deep RL algorithms for real-world applications

Assignments and Projects

• Assignment 1: Implementing Linear Regression & Classification
• Assignment 2: Implementing MLP using Backpropagation
• Assignment 3: Image Classification using CNNs
• Assignment 4: Implementing Value/Policy Iteration on Grid World
• Assignment 5: Monte-Carlo and Temporal Difference Algorithms on Grid World
• Assignment 6: Fine-tuning and Deploying Pre-trained Models on Hugging Face
• Capstone Project: Implementing Deep Learning and Deep RL Algorithms on Gym/Atari Environments

Tools Used

• Python
• PyTorch

Eligibility Criteria

Educational Background:

Candidates must be a graduate or postgraduate in Engineering, Technology, Computer Science, Data Science, Mathematics, Statistics, Physics, Electronics, or related fields, with a strong and recent foundation in Mathematics.

 

Advanced Certification Programme in Persuasive UX Strategy

The Advanced Certification Programme in Persuasive UX Strategy offered by the Indian Institute of Technology (IIT) Delhi is a six-month intensive course designed to equip professionals with the skills to craft user experiences that influence behavior and drive business results. The program seamlessly integrates business acumen with creative design thinking, focusing on persuasive techniques that shape user decision-making. Participants will learn to align business goals with design strategies while leveraging neurophysiological data and behavioral insights. The curriculum emphasizes hands-on learning, including live demonstrations, expert guest lectures, and practical assignments, ensuring a comprehensive understanding of persuasive UX strategies. Upon successful completion, learners will receive an advanced certification from IIT Delhi, empowering them to create impactful and user-centered design solutions.

Programme Highlights

• Additional 6 optional weeks for spillovers, doubt resolution, discussions, and resubmissions.
• Integrates scientific theories with practical examples in persuasive sciences for better comprehension.
• Access to comprehensive self-learning resources to strengthen subject knowledge.
• Weekly doubt-clearing sessions to support learning.
• Guest lectures by leading academics and UX industry experts on branding in UX.
• Duration: 6 months
• Start Date: March 16, 2025
• Class Schedule Days: Tuesday and Thursday (Time: 8:00 PM – 9:30 PM)
• Mode: Online, with over 240 hours of blended learning
• Certification: Advanced certification from IIT Delhi upon successful completion
• Tools Covered: Proficiency with industry-standard tools such as Figma, Maze, iMotions, Nvivo, and Optimal Workshop
• Practical Exposure: Hands-on projects, capstone project, and optional 6 extra weeks for spillovers, doubts, discussions, and resubmissions

Programme Content:

Module 1: Business of UX, UX Roles, and Skills

Learning Outcomes:

• Gain an overview of the UX industry, its origins, impact, and future trends.
• Understand the evolution of UX and available resources for UX professionals.
• Explore UX knowledge, practices, skills, and team roles.
• Learn about industry expectations from UX professionals and emerging trends.

Module 2: Research Methods in UX & Live Demonstration

Learning Outcomes:

• Hands-on experience with UX research practices.
• Understand the significance of scientific research in UX.
• Learn qualitative and quantitative UX research methods.
• Participate in live demonstrations and practice attitudinal interviews.

Module 3: Role of Brand and UX in Online Decision-Making

Learning Outcomes:

• Learn the strategic importance of UX in brand building and consumer behavior.
• Model the relationship between UX and branding.
• Understand how UX influences online purchasing decisions.

Module 4: Research Data Analysis

Learning Outcomes:

• Gain hands-on experience with UX data analysis.
• Learn qualitative and mixed-method research approaches.
• Apply thematic content analysis to extract strategic UX insights.

Module 5: Usability, UX & CX in Product and Service Design

Learning Outcomes:

• Explore usability and UX skills for product and service design.
• Understand UX and CX models across industries.
• Develop industry-specific CX and UX skills for assignments and projects.

Module 6: Generating Design Insights from Data

Learning Outcomes:

• Connect research findings with UI design.
• Convert research data into UX insights.
• Learn persona creation, scenario development, and customer journey mapping.

Module 7: UX Strategy Development from Research Data

Learning Outcomes:

• Align UX research insights with business goals, branding, user culture, and technology.
• Develop a seamless UX strategy.

Module 8: Introduction to Persuasion Science in UX

Learning Outcomes:

• Understand persuasion techniques, their history, benefits, and limitations.

Module 9: Ethics of Persuasion in UX Strategy

Learning Outcomes:

• Set persuasion goals for UX projects.
• Learn how to integrate persuasion techniques into UX strategies.

Module 10: Persuasion Tools and Applications

Learning Outcomes:

• Understand different persuasion tools and their applications.
• Apply persuasion strategies in ongoing UX projects.

Module 11: Designing User Interfaces Based on Persuasion Strategy

Learning Outcomes:

• Learn creative ideation techniques in UX.
• Develop persuasive UI copy, design, and content.
• Map customer journey and integrate persuasion tools.

Module 12: Evaluation Methods in UX Strategy

Learning Outcomes:

• Understand the importance of UX evaluation and User-Centered Design (UCD).
• Participate in live demonstrations of UX evaluation techniques.

Module 13: Measuring ROI of UX Strategy

Learning Outcomes:

• Assess the monetary value of UX strategies.
• Perform hands-on calculations to evaluate UX business impact.

Module 14: Cultural & Legal Considerations in UX Design

Learning Outcomes:

• Understand the impact of cross-cultural factors on UX.
• Learn legal considerations for persuasive UX design across different countries.

Module 15: Advanced UX Testing Using Neuroscience Tools

Learning Outcomes:

• Explore advanced UX testing using eye tracking, EEG, and GSR.
• Participate in live demonstrations of persuasive UX testing methods.

Module 16: AI in Persuasive UX Design

Learning Outcomes:

• Understand the role of AI in UX strategy and persuasive design.
• Explore AI applications in UX across various industries.

Module 17: Organisational Culture for UX Strategy

Learning Outcomes:

• Learn best practices for fostering UX-centric organisational culture.
• Explore research and case study approaches to UX implementation.

Module 18: UX Team Development & Recruitment Strategies

Learning Outcomes:

• Understand team-building strategies for continuous UX research and design.
• Explore recruitment methods for UX team growth.

Module 19: Portfolio Creation & Presentation

Learning Outcomes:

• Learn key aspects of UX portfolio development.
• Receive feedback on project presentations.

Module 20: Capstone Project, Discussions, and Lab Visits

Learning Outcomes:

• Apply UX knowledge through a capstone project.
• Engage in iterative feedback sessions and presentations.

Assignments

• Qualitative Interview
• Data Analysis
• Strategy Development
• Persuasive Design Implementation
• Evaluation of UX Strategy
• Design Iterations
• Portfolio Creation

Eligibility Criteria:

Educational Background: Graduates with a minimum of one year of experience in UX or Management are preferred.

 

Certificate Programme in NextGen Robotics with AI by IISc Bangalore

The Certificate Programme in NextGen Robotics with AI offered by the Indian Institute of Science (IISc) Bangalore is an 8-month intensive course designed to equip professionals with comprehensive knowledge and practical skills in integrating Artificial Intelligence (AI) with robotic systems. This program aims to develop proficiency in AI techniques, classical control systems, reinforcement learning, and advanced AI applications to enhance robotic capabilities across various industries.

Programme Highlights

• Prestigious Certification from IISc Bangalore
  
  Earn a certificate from one of India’s top-ranked institutions, recognised globally for its excellence in research and education.

• Comprehensive Curriculum Covering Advanced Tools and Techniques
  
  Gain in-depth knowledge of the latest tools, methodologies, and algorithms used in deep learning and artificial intelligence, ensuring you stay ahead in this rapidly evolving field.

• Specialised Focus on Reinforcement Learning
  
  Explore the core principles of reinforcement learning, including model-free and model-based approaches, policy optimisation methods, and real-world applications in AI-driven decision-making.

• Practical Hands-on Learning with Deep Learning Frameworks
  
  Work extensively with industry-leading frameworks such as TensorFlow and PyTorch, applying deep learning models to real-world challenges through coding exercises and projects.

• Exclusive Two-Day Campus Immersion at IISc Bangalore
  
  Experience an immersive learning environment with a two-day on-campus module at IISc Bangalore, where you can interact with faculty, participate in workshops, and engage in live discussions with peers.

• Live Interactive Sessions with Distinguished IISc Faculty
  
  Learn directly from expert professors and researchers from IISc Bangalore through live online sessions, gaining valuable insights from their extensive academic and industry experience.

• Strong Foundation in AI and Robotics
  
  Develop a rigorous understanding of artificial intelligence and robotics, covering key concepts such as neural networks, autonomous systems, and AI-driven automation to prepare for future advancements in the field.

Programme Details:

• Start Date: March 29, 2025 
• Class Schedule: Saturdays – 10.00 AM to 1:00 PM (IST)
• Duration: 8 months
• Programme Fees: ₹1,89,000 + GST (Installment options available)
• Mode: Live online sessions complemented by a two-day on-campus immersion at IISc Bangalore

Programme Content:

Module	Topics Covered	Learning Outcomes
Module 1: AI Fundamentals	– Mathematical foundations for AI – Supervised and unsupervised learning – Basics of neural networks (NN) – AI applications in robotics	– Define key concepts in AI and ML – Explain fundamental AI algorithms and techniques – Apply AI concepts to real-world scenarios
Module 2: Basics of Control	– Introduction to feedforward and feedback control – State-space modeling of robotic systems – Control goals: stability, tracking, robustness, safety, optimality – Control for linear systems: PID, Pole Placement, LQR – Control for nonlinear systems: Model predictive control, Lyapunov-based control, Control barrier functions – Simulations of control systems in robotics	– Model robotic systems using state-space representations – Design control algorithms for various tasks – Implement control techniques in simulations
Module 3: Introduction to Robotics	– Double pendulum, acrobot, cart-poles – Walking robots and quadrotors – Serial and parallel manipulators – Direct and inverse kinematics – Motion constraints: holonomic vs. non-holonomic – Underactuated vs. fully actuated robots – Dynamic equations, position, and force control – Path planning and trajectory optimisation	– Compute forward kinematics and Jacobian matrices – Analyze challenges in redundant robotic systems – Differentiate between serial and parallel robotic structures – Understand feedback control for walking and flying robots
Module 4: Programming for AI and Robotics	– Python fundamentals and libraries – Object-oriented programming (OOP) – Robot Operating System (ROS) – Working with simulators: Gazebo, Pybullet, Mujoco, Issac	– Gain proficiency in Python for AI and robotics – Apply OOP principles in robotics development – Set up and control robotic tasks using simulators
Module 5: Reinforcement Learning for Robotics	– Markov Decision Processes (MDPs) – Value and policy iteration – Model-free RL techniques: Q-learning – Deep reinforcement learning – Advanced RL methods: Deep Q-learning, PPO, DDPG, SAC	– Understand core reinforcement learning concepts – Compare RL with traditional control methods – Implement various RL training algorithms
Module 6: Imitation Learning for Robotics	– Human-robot interaction control – Learning from human demonstrations – Task and motion modeling – Generalising learned models in novel situations	– Explain modern imitation learning techniques – Implement Cartesian impedance control – Conduct experiments and analyse results – Write Python programs for IL methods
Module 7: Deep Learning & GenAI for Robotics	– Deep learning architectures – NLP and prompt engineering – Computer vision applications – Large language models (LLMs) and ChatGPT – Generative Adversarial Networks (GANs) for robotics	– Apply deep learning to robotics challenges – Implement computer vision for robotic perception – Develop AI-driven planning and decision-making algorithms – Integrate AI components into robotic systems – Understand and utilise LLMs in robotics – Implement GANs for AI-driven robotics applications
Capstone Project	– Implementation of cutting-edge AI and robotics research papers – Development of innovative AI-driven robotics solutions	– Conduct research-based AI and robotics projects – Propose novel ideas for AI applications in robotics
Projects & Assignments	– Assignment 1: Implement basic ML algorithms (classification, regression, neural networks) – Assignment 2: Design and simulate control algorithms for robots – Assignment 3: Compute forward kinematics and Jacobian matrices for a robotic arm – Assignment 4: Develop and test robotics simulations – Assignment 5: Implement reinforcement learning algorithms – Assignment 6: Implement imitation learning models	– Gain hands-on experience with AI, ML, and robotics concepts – Develop practical implementations of various control and learning techniques
Tools & Technologies	– Physics Simulators: Gazebo, Pybullet, Mujoco – Programming & Robotics Frameworks: ROS, OOP, Python – Machine Learning & AI: PyTorch, TensorFlow, JAX, JIT – Computer Vision & Data Science: OpenCV, NumPy, Pandas – Reinforcement Learning & Prompt Engineering	– Work with industry-standard tools and frameworks – Implement AI and robotics solutions using cutting-edge technology

Eligibility Criteria

Educational Background:

Candidates must be graduates or postgraduates in Engineering, Science, or related disciplines with a strong foundation in Mathematics.

 

IIT Delhi Executive Programme in Robotics

Robotics is playing a pivotal role in shaping global businesses and driving the ongoing technological revolution. Industries such as healthcare, automotive, and space exploration are increasingly integrating robotics, propelled by rapid advancements in artificial intelligence, cloud computing, robotics, and rapid prototyping. As robotic applications continue to expand across various domains, there is a growing demand for skilled professionals who can conceptualise, design, develop, manufacture, and operate robotic systems.

IIT Delhi’s Executive Programme in Robotics is designed to address this need by offering comprehensive training, covering everything from foundational concepts to the implementation of advanced applications. This programme presents a unique opportunity for individuals looking to gain expertise in robotics and contribute to its ever-evolving landscape, enhancing both human productivity and well-being.

Programme Highlights

• Offered by the Centre for Biomedical Engineering, IIT Delhi, ranked #1 in India for Engineering and Technology as per QS World University Rankings 2024.
• Five-month immersive learning experience through live online lectures.
• Expert-led sessions conducted by IIT Delhi faculty and industry professionals.
• Hands-on experience in designing and building robotic devices from the ground up, covering both mechanical and electronic aspects.
• 120 hours of interactive live online learning sessions.

Programme Content:

Module	Topics Covered	Learning Outcomes
Module 1: Fundamentals of Robotics and Automation	– Introduction to robotics: history, applications, and classification – System-level architecture and levels of autonomy – Components, joints, coordinate systems, and workspace – Kinematics, kinetics, trajectory, and path planning	– Understand the state-of-the-art in robotics and opportunities – Learn the principles of robot design and functionality
Module 2: Sensing and Perception	– Interoceptive and exteroceptive sensing – Position, velocity, and acceleration sensors – Force, torque, and tactile sensing – Non-contact sensing (LIDAR, RADAR, ultrasonic) – Camera-based machine vision – Sensor data processing methods	– Gain in-depth knowledge of robotic sensing – Learn implementation strategies for robotic perception
Module 3: Actuators and Motion	– Electrical actuators: servos, stepper motors, and drives – Pneumatic and hydraulic actuators – Soft robotic actuators and biomimetic technologies – Electroactive polymers and shape memory actuators – Artificial muscle technology and wearable actuators – 3D printing and mechanical testing in robotics	– Understand the role of actuators in robot movement – Learn about the mechanical and electrical components of robotics
Module 4: Modelling, AI, and Machine Learning	– Localisation, navigation, and environment representation – CAD-based robotic component design – Introduction to Robot Operating System (ROS) – 3D modeling, motion planning, and ROS simulation – AI and ML in robotics: behavior-based systems, neural networks, deep learning	– Learn robotic movement design and strategy – Understand AI and ML applications in robotics
Module 5: Embedded Control and Mechatronics	– Embedded computing and control basics – Hardware platforms: Arduino and Raspberry Pi – Sensor and actuator programming and interfacing – Communication systems: MODBUS, CAN, and wireless systems – Multi-tasking and closed-loop control	– Develop software for robotic control – Understand key sensing and interfacing techniques
Module 6: Applications and Future Directions	– Biorobotics and bionics: exoskeletons, prosthetics, and surgical robotics – Humanoid robots and future automation – Human-Robot Interaction (HRI) and collaborative robotics – Industrial automation and safety standards – Roboethics: ethical challenges in robotics and AI	– Explore diverse robotic applications in industry and research – Understand standards and ethics in robotics and AI

Additional Learning Components

Component	Details
Tutorials	– CAD Designing – 3D Printing – Arduino Programming – AI/ML in Robotics – DIY Robotics – ROS Training
Tools	– CAD Design Software – 3D Printers – Arduino – DIY Robotics Kits
Hands-on Project	– Development of a fully functional robot per participant – Detailed research, specifications, design, and prototyping – Development kit available for purchase as part of the programme

Programme Details:

• Start Date: March 1, 2025.
• Duration: 5 months.
• Class Schedule: Sessions will be conducted every Saturday and Sunday from 10:00 AM to 2:00 PM (IST).
• Eligibility: Bachelor’s degree in any discipline with a minimum of 50% marks.
• Fee Structure: ₹1,69,000 + GST (Instalment option available)

Eligibility Criteria

Graduates, postgraduates, or working professionals from Technology, Engineering, Computer Science, Electronics, Physics, or related fields are eligible to apply.

 

IIM Kozhikode Professional Certificate Programme in Fintech

The Professional Certificate Programme in FinTech offered by the Indian Institute of Management (IIM) Kozhikode is an 11-month online course designed to equip professionals with the knowledge and skills necessary to navigate the rapidly evolving financial technology landscape. This program delves into various aspects of FinTech, including financial modeling, blockchain, cryptocurrency, and data-driven analytics, preparing participants to address contemporary challenges and innovations in the financial sector.

Programme Highlights:

• Duration: 11 months
• Mode: Online sessions with a 2-day campus immersion at IIM Kozhikode
• Class Schedule: Sunday
• Session Timing –  09:00 A.M. – 12:00 P.M. (Weekend Session)
• Start Date: 30th March 2025
• Course Fee: ₹2,05,000 + GST
• Certification: Participants will receive the IIM Kozhikode Executive Education Alumni status upon successful completion

Course Content:

Part	Topics Covered
Part 1: Disruption in FinTech	Introduction to FinTech, FinTech in Banking and Finance, Digital Disruption in Financial Markets, Innovation and Transformation in FinTech, Understanding the Fin System, TechFin, Digital Banking
Part 2: FinTech Trends	Digital Banking, Robo-advising, Peer-to-peer Lending, Reg-tech, Wealth-tech, Insur-tech, Payment-tech, Blockchain, Cryptocurrencies, Payment developments, Crowdfunding, AI/ML, IoT, Cloud, GenAI, Web 3.0, AR/VR, Online Quizzes (2)
Part 3: Data-driven FinTech Analytics	Credit Scoring and AI Implementation, FinTech Innovation Using IoT, Fraud Detection, Algorithm-Based Risk Pricing, Business Innovation and Business Intelligence, Banking 4.0 – Business Model Innovations in BFSI Sectors, Project
Part 4: Financial Modelling	Introduction to Finance Modelling, Regression Models (Simple & Multiple Regression), Data Modelling in Excel, Basic Excel Functions (IF, VLOOKUP, etc.), WHAT-IF Analysis (Scenario Manager, Goal Seek, Data Table, Solver), Financial Functions in Excel, Time Value Functions, Discounted Cash Flow, Sensitivity Analysis, Monte Carlo Simulations (Risk Measurement, Derivative Pricing), VaR & Expected Shortfall (ES), Portfolio Optimisation (Markowitz Model, Efficient Frontier), Practical/Project
Part 5: Blockchain & Cryptocurrency	Introduction to Blockchain, Cryptography (Public/Private Key, Hashing, Proof of Work), Blockchain in Banking (Use Cases, Benefits, Cross-border Payments, Trade Finance), Cryptocurrencies (Bitcoin, Ethereum, Stablecoin, CBDCs, ICOs), Digital Tokens/NFTs, Smart Contracts (Applications & Limitations), DAO & DAC (Rules, Principles, Regulations), Project
Part 6: Big Data Introduction	Data Analysis & Big Data Applications in Finance, Python Ecosystem, Descriptive Analysis, Financial Applications of Cross-section & Time Series Data, Predictive Modelling
Part 7: FinTech in the Real World	FinTech Implementation Strategies (Technical Enablers, Compliance Checklist), FinTech’s Role in Banking Transformation (Open Banking, Regulatory Compliance), Key FinTech Use Cases (Trade Finance, KYC, Cross-border Payments, Lending), UX & Service Design in FinTech (User Experience Design, Service Maturity Model, Metrics & Deliverables), B2B Challenges (Regulatory & Privacy Issues, Data Utilisation), Consumer Expectations (Trust, Financial Supermarket, Simplicity), Selling & Marketing Strategies (STP for FinTech, Digital Customisation, Organisational Culture, Case Studies on CRED & PayTM), Project

Essential FinTech Toolkit

Master the Industry’s Key Tools

The Professional Certificate Programme in FinTech by IIM Kozhikode offers more than just theoretical  insights—it provides hands-on experience with cutting-edge tools that are transforming the financial landscape. These tools will equip you with the expertise to address real-world FinTech challenges and drive innovation.

• Utilise data analysis and manipulation for informed decision-making.
• Develop robust financial models and perform in-depth analyses.
• Apply machine learning algorithms for predictive modeling and data-driven strategies.
• Convert complex financial data into clear and impactful visualisations.
• Explore conversational AI and its role in modern FinTech applications.
• Gain hands-on experience in developing and implementing blockchain solutions.

With a solid foundation in finance and technology, combined with practical exposure to industry-relevant tools, this programme ensures you acquire not just knowledge, but the ability to apply it effectively. The hands-on approach prepares you for a dynamic and successful career in the rapidly evolving FinTech sector.

Eligibility Criteria

Requirement	Details
Work Experience	Minimum of 3 years of relevant professional experience.
Academic Qualifications	Bachelor’s Degree (10+2+3 or 10+2+4) or Integrated Master’s Degree (10+2+5).

 

IIM Indore’s Certificate Programme in Leadership and Change Management

The Certificate Programme in Leadership and Change Management (CPLCM) offered by the Indian Institute of Management (IIM) Indore is an 8-month course designed to equip professionals with the skills and knowledge necessary to lead and manage change effectively within organisations. This program focuses on developing leadership potential, understanding sustainable change strategies, and navigating complex challenges in dynamic business environments.

The business world is constantly evolving, and organisations need leaders who can not only adapt to change but drive it forward. IIM Indore, a prestigious triple-accredited institute, offers the Leadership and Change Management Certificate Programme to empower professionals with the skills to lead transformation effectively.

If you are passionate about leading change and creating an agile work environment, this program is designed for you. The curriculum covers best practices for implementing sustainable change, ensuring long-term success. You will develop the ability to navigate complex challenges, foster agility, and build resilience within your organisation.

Become a Changemaker – This programme is more than just a certificate; it is an investment in your leadership journey. Unlock your potential and take charge of driving meaningful transformation in your organisation.

Programme Highlights:

• Duration: 8 months
• Mode: Online sessions complemented by a 3-day campus immersion at IIM Indore
• Start Date: 23rd March 2025
• Class Schedule:

  Sundays:

  • First Session: 09:00 AM – 10:15 AM (IST)
  • Second Session: 10:30 AM – 11:45 AM (IST)
• Course Fee: ₹1,85,000 + GST
• Expert-Led Faculty – Learn from top domain specialists.
• Real-World Business Applications – Gain insights through practical case studies.
• IIM Indore Executive Alumni Status – Join a prestigious professional network.
• Certification: Participants will receive a ‘Certificate of Completion’ from IIM Indore upon successful completion and will be accorded Executive Education Alumni status

Programme Content:

Programme Content	Topics Covered
Basics of Change Management	Introduction to Change Management, Understanding and Leading Self, Handling Resistance to Change (HRC), Motivating People for Change, Introduction to Data Analytics, Metrics for Monitoring Change Initiatives
Teams & Leadership	Understanding Interpersonal Relations, Building High-Performance Teams, Leading Across Teams, Managing Power Equilibrium, Leadership Frameworks
Culture, Structure, Environment, Leadership & Change	Managing Change in a VUCA World, Organisational Structure and Design, Change Strategies, Organisational Culture – Impact and Assessment, Culture for Innovation and Performance, Organising for Innovation and Execution
Leadership and Analytics	Leadership in Complex Situations and Various Styles, Role of Leadership in Change Management, Data-Driven Decision Making in Change Management
Conflict, Negotiation, and Financial Strategies	Conflict Management & Negotiation, Strategic Financial Management for Organisational Effectiveness (SFMOE), Motivating Millennials for Change Management

Eligibility Criteria

• Candidates must have a minimum of three years of work experience.
• For educational qualifications, applicants should have completed a Diploma (10+2+3), Graduate, or Postgraduate degree from a university recognised by the Association of Indian Universities (AIU).
• Additionally, candidates must have secured at least 50% marks in either their Diploma, Graduation, or Postgraduation.