Course – Generative AI Foundations
Introduction to Generative AI Concepts
8 Hrs Beginner Classroom / Live Virtual
Duration
8 Hrs
Level
Beginner
Format
Classroom / Live Virtual
Domain
Generative AI
Training Methodology
Learning by Doing
Every session in this program is built around hands-on execution, not passive slides — you leave having built something, not just watched a demo.
01
Explore
Hands-on labs from the start — real or sandboxed environments, not slide decks.
02
Experiment
Work against scenarios that mirror your actual stack.
03
Engage
Solve real business problems in every session, not toy examples.
04
Apply
Exercises tied to your team’s actual workflows.
Who This Is For
What You’ll Be Able to Do
- Understand core AI and Generative AI concepts, including LLMs and tokenization
- Explain how large language models generate content
- Apply prompt engineering techniques for real business scenarios
- Identify ethical risks and apply responsible AI principles
Curriculum
Module 1
Understanding Generative AI
- What is intelligence and artificial intelligence
- How AI works: algorithms, data, feedback loops
Module 2
Generative AI Foundations
- Large Language Models, tokenization, embeddings
- LLM settings: temperature, Top-P, Top-K
Module 3
Prompt Engineering Basics
- Prompting vs. prompt engineering
- Communicating clearly with LLMs
Module 4
Advanced Prompting Techniques
- Designing effective prompts
- Summarization, classification, entity recognition use cases
Module 5
Ethics and Risk Management
- Responsible AI use
- NIST AI Risk Management Framework
Module 6
Hands-On Labs
- Chatbot simulation, marketing copy generation, document summarization
Delivery Details
- Delivered as classroom or live virtual instructor-led — scheduled around your team
- Hands-on labs throughout — not slide-only theory
- Customisable depth and pacing based on participant experience level