Course – Generative AI Foundations
Introduction to Generative AI Concepts — Extended Foundations
1 Day / 8 hrs Beginner Classroom / Live Virtual
Duration
1 Day / 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 Generative AI models generate text and multi-modal outputs
- Apply prompt engineering techniques for common business and technical use cases
- Identify ethical risks and apply responsible AI principles
Curriculum
Module 1
Understanding Generative AI
- Key concepts: intelligence, AI, GenAI
- How AI works
Module 2
Generative AI Foundations
- LLMs, tokenization, embeddings, training processes
- Multi-modal model capabilities
Module 3
Prompt Engineering
- Basics and advanced techniques
- Designing effective prompts, use cases, case study
Module 4
Ethics and Risk Management
- Responsible AI use, NIST framework, risk categories
Module 5
Hands-On Labs
- Marketing copy, document summarization, data analysis with prompts, chatbot simulation
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