Lifelong Learning Program for Alumni ( LLPA )

Program Overview

Lifelong Learning Program for Alumni (LLPA)

The Lifelong Learning Program for Alumni (LLPA) at IMT Ghaziabad is a forward-looking initiative aimed at equipping our esteemed alumni with the tools and knowledge needed for sustained professional growth. This program, specially designed to accommodate the diverse needs of both recent graduates and seasoned professionals, reflects our commitment to fostering continuous learning.

Program Overview

Through a carefully curated curriculum, participants gain access to a blend of contemporary insights and established wisdom. Our distinguished faculty, including industry leaders and experts, guide participants through interactive sessions, case studies, and practical applications, enriching their learning experience. The program's flexible learning modes, encompassing on-campus classes and online mode, ensure that participants can seamlessly integrate learning into their busy professional lives.

Learning Outcomes

By engaging in this program, alumni not only expand their technical proficiency but also develop leadership acumen and a holistic understanding of their fields. The program aims to:

• Effectively initiate, cultivate, and leverage peer networking relationships within the alumni community to foster collaboration and knowledge sharing.
• Explore and identify new horizons in business, such as emerging markets, business models, and sustainability practices, to help their organizations expand and thrive.
• Develop a comprehensive understanding of current disruptive trends across various industries, including technology, marketing, and finance, and be able to identify their potential impact on businesses.
• Understand adaptive business strategies that leverage disruptive trends, positioning their organizations for sustained success and growth.
• Be committed to lifelong learning, staying updated on evolving trends and technologies, and actively contributing to the growth and evolution of their industries.

Course Outline

Weekend 1, Day 1

• Data Science (AI and ML): Topics covering data science, analytics, and AI-related topics for leveraging data-driven insights in decision-making (4 hours)

Weekend 1, Day 2

• Data Science (AI and ML): Project Activity based learning (2 hours)

Weekend 2, Day 1

• Marketing Analytics: Topics covering digital marketing, including areas such as social media marketing, search engine marketing (SEM), search engine optimization (SEO), data analysis, and performance marketing (4 hours)

Weekend 2, Day 2

• Marketing Analytics: Project Activity based learning (2 hours)

Weekend 3, Day 1

• Fintech: Topics related to the intersection of finance and technology, including digital payments, blockchain, cryptocurrency, peer-to-peer lending, robo-advisors, and more (3 hours)
• Fintech: Project Activity based learning (1 hour)

Weekend 3, Day 2

• Strategy and Innovation: Topics covering strategic thinking, decision-making, and consulting skills to drive business growth and innovation (3 hours)
• Strategy and Innovation: Project Activity based learning (1 hour)

Faculty

• Harshvardhan Singh: Co-founder – Stealth Startup
• Yogesh Bellani: Founder and CEO – Uttishta Partners Private Limited
• Vijay Nair: Regional Head, Data Analytics & AI Levi Strauss and Co.
• Dipyaman Sanyal: Co-founder, Dōnō consulting
• Sanchit Garg: Finance & Generative AI Consultant

Course Fee

The course fee is INR 5,000/-, which includes hospitality charges at IMT Ghaziabad campus.

Program Outline

Degree Overview:

The "Lifelong Learning Program for Alumni" at IMT Ghaziabad is a forward-looking initiative aimed at equipping alumni with the tools and knowledge needed for sustained professional growth. This program, specially designed to accommodate the diverse needs of both recent graduates and seasoned professionals, reflects our commitment to fostering continuous learning. Through a carefully curated curriculum, participants gain access to a blend of contemporary insights and established wisdom.

Objectives:

• To effectively initiate, cultivate, and leverage peer networking relationships within the alumni community to foster collaboration and knowledge sharing.
• To explore and identify new horizons in business, such as emerging markets, business models, and sustainability practices, to help their organizations expand and thrive.
• To develop a comprehensive understanding of current disruptive trends across various industries, including technology, marketing, and finance, and be able to identify their potential impact on businesses.
• To understand adaptive business strategies that leverage disruptive trends, positioning their organizations for sustained success and growth.
• To be committed to lifelong learning, staying updated on evolving trends and technologies, and actively contributing to the growth and evolution of their industries.

Outline:

The program's content is structured into four modules, each covering a specific topic area:

Module 1: Data Science (Artificial Intelligence and Machine Learning)

• Overview of data science, analytics, and AI-related topics
• Leveraging data-driven insights in decision-making
• Project Activity based learning

Module 2: Marketing Analytics

• Digital marketing, including social media marketing, SEM, SEO, data analysis, and performance marketing
• Project Activity based learning

Module 3: Fintech

• Intersection of finance and technology
• Digital payments, blockchain, cryptocurrency, peer-to-peer lending, robo-advisors
• Project Activity based learning

Module 4: Strategy and Innovation

• Strategic thinking, decision-making, and consulting skills
• Driving business growth and innovation
• Project Activity based learning

Course Schedule:

The program is delivered over three weekends, with each module spread across two days. The schedule is as follows:

Weekend 1

• Day 1: Data Science (AI and ML)
• Day 2: Data Science (AI and ML) Project Activity based learning

Weekend 2

• Day 1: Marketing Analytics
• Day 2: Marketing Analytics Project Activity based learning

Weekend 3

• Day 1: Fintech
• Day 2: Fintech Project Activity based learning
• Day 1: Strategy and Innovation

Teaching:

The program is taught by a distinguished faculty, including industry leaders and experts. The teaching methods include interactive sessions, case studies, and practical applications.