Hari Thapliyaal

Dr. Hari Thapliyal is a seasoned professional and prolific blogger with a multifaceted background that spans the realms of Data Science, Project Management, and Advait-Vedanta Philosophy. Holding a Doctorate in AI/NLP from SSBM (Geneva, Switzerland), Hari has earned Master’s degrees in Computers, Business Management, Data Science, and Economics, reflecting his dedication to continuous learning and a diverse skill set.

With over three decades of experience in management and leadership, Hari has proven expertise in training, consulting, and coaching within the technology sector. His extensive 16+ years in all phases of software product development are complemented by a decade-long focus on course design, training, coaching, and consulting in Project Management.

In the dynamic field of Data Science, Hari stands out with more than three years of hands-on experience in software development, training course development, training, and mentoring professionals. His areas of specialization include Data Science, AI, Computer Vision, NLP, complex machine learning algorithms, statistical modeling, pattern identification, and extraction of valuable insights.

Hari’s professional journey showcases his diverse experience in planning and executing multiple types of projects. He excels in driving stakeholders to identify and resolve business problems, consistently delivering excellent results. Beyond the professional sphere, Hari finds solace in long meditation, often seeking secluded places or immersing himself in the embrace of nature.

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GenAI for ALL

Program Outline: Generative AI for All

Duration:

2 Days

Course Audience:

QA Leads, Support Leads, Technical Leads, Service Delivery Managers, NBU Leads/Managers

Target Unit :

Delivery CoE Product Sales and marketing Facility and IT Operations HR Internal Applications Finance Capability Building

Course Outline

Day 1

Morning Sessions 9:00 AM to 1:00 PM

1. Session 1 - Introduction to Generative AI (9:00 AM - 10:30 AM)

  • What is Generative AI?
  • Types of Generative Models (GANs, VAEs, Diffusion Models, and LLMs)
  • Key Milestones in Generative AI Development

2. Session 2 - Business Applications of Generative AI (10:45 AM - 1:00 PM)

  • Enhancing Creativity and Innovation
  • Automation and Efficiency Gains
  • Domain-Specific Use Cases for Delivery CoE, Sales, Marketing, IT, HR, Finance

Lunch 1:00 PM to 2:00 PM

Afternoon Sessions 2:00 PM to 5:00 PM

3. Session 3 - Deep Dive into Large Language Models (LLMs) (2:00 PM - 3:30 PM)

  • How LLMs Work: Pre-training, Fine-tuning, and Prompt Engineering
  • Hands-on Activity: Crafting Prompts for Productivity

4. Session 4 - Ethical and Responsible AI (3:45 PM - 5:00 PM)

  • Bias, Transparency, and Fairness in AI
  • AI Governance and Ethical Guidelines

Day 2

Morning Sessions 9:00 AM to 1:00 PM

5. Session 5 - Practical Tools for Generative AI (9:00 AM - 10:30 AM)

  • Overview of Popular Tools: ChatGPT, DALL·E, and Others
  • Hands-on Activity: Generating Text, Images, and Videos

6. Session 6 - AI in Decision-Making and Workflow Automation (10:45 AM - 1:00 PM)

  • Integrating AI into Daily Workflows
  • Case Studies Across Different Roles

Lunch 1:00 PM to 2:00 PM

Afternoon Sessions 2:00 PM to 5:00 PM

7. Session 7 - Building Generative AI Use Cases for Your Role (2:00 PM - 3:30 PM)

  • Group Activity: Brainstorming Role-Specific AI Solutions
  • Drafting an AI Adoption Plan

8. Session 8 - Closing Workshop: Future-Proofing with Generative AI (3:45 PM - 5:00 PM)

  • Discussion: Trends in Generative AI
  • Q&A and Feedback

Key Outcomes:

  • Gain a foundational understanding of Generative AI and its workings.
  • Identify role-specific applications to boost creativity and productivity.
  • Develop actionable strategies for integrating AI into workflows.
  • Understand ethical considerations in implementing Generative AI solutions.
  • Review introductory materials on Generative AI.
  • Explore examples of AI-generated text, images, and videos.
  • Familiarize yourself with ChatGPT or similar tools.

Materials Provided:

  • Course slides and handouts.
  • Links to tools and resources for further exploration.
  • Access to sample AI models and prompt templates.
  • Certificate of Participation.

Updated:

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