Understand the principles and concepts of generative AI & LLMs
Identify and evaluate the potential use cases of generative AI in their respective industries.
Develop and use basic generative AI models using tools such as ChatGPT
Craft clear, concise, and effective prompts through core for-matting and optimization principles.
Know when and how to effectively and efficiently utilize large language models (LLMs) to drive results and maximize productivity from mastering data analysis and enhancing communications, to streamlining workflows and prioritizing tasks.
Successfully navigate ethical challenges in AI, ensuring your actions always align with responsible practices.
Who should attend?
This course should be attended by senior business professionals/ Non-Tech Professionals who are seeking to harness the power of Generative AI.
Managers
Product Managers
Non-Tech Professionals
Leaders
Business Development & Marketers
Prerequisites
You’ll need access to a paid “Pro” LLM like ChatGPT Plus/Chat GPT Enterprise or Claude Pro. No prior knowledge of generative AI is necessary.
Day 1:
Session 1
How generative AI works
NN & Deep-learning Basics
Attention Model
Introduction to NLP & LLM
Foundation Models
Generative AI Applications
Writing
Reading
Chatting
Analysis
What LLMs can do & cannot do
Introduction to Image Generation
Session 2
Generative AI projects
Key Phases in lifecycle of a GenAI project
LLMs in Apps: Integration with External applications
Explore Advance techniques like RAG, Finetune, Reinforce learning with Human feedback ( RLHF)
Customize & Improve LLMs performance.
LLMs Application Architecture & Cost consider using cloud based LLMs.
Day 2
Session 3
Working with LLMs
Prompt engineering & various techniques
Fine- tuning LLM with Instructions
How to choose right LLM
Session 4
Use cases & Hands On
Using GenAI with examples for:
Software Development
Workflow Automation
Customer service
Case study-based approach to identifying and designing GenAI Use cases (2 cases)
Hands on to build a POC using prompt for
Customer experience Use case (email analytics)
Data Extraction from financial reports and writing Analytical summarization.
Session 5
GenAI & Risk
Risk & concerns
Responsible AI
Future of AI: AGI ( Artificial General Intelligence)
