Session 1 of 12
Session 01

Introduction to AI, Generative AI & Agentic AI

From the 1950s to autonomous agents — building the conceptual foundation

⏱ 60 minutes Introductory 📊 Presentation + Study Notes + Lab
What This Session Covers

Session Topics

AI Evolution

Trace AI from Turing's 1950s thought experiments through expert systems, machine learning, and today's large language models.

Five Levels of AI

Understand the evolution ladder: Assisted → Automated → Augmented → Autonomous → Agentic AI.

Three Types of AI

Distinguish Predictive AI (classification, regression) from Generative AI (text, images) and Agentic AI (autonomous action).

LLMs Demystified

How Large Language Models are trained, what they predict, and why scale produces emergent intelligence.

Chatbot vs Copilot vs Agent

Concrete distinctions between tool types — and when to use each in real systems.

🧪 Lab Exercise

Create Your First GenAI Resume

Using ChatGPT or a similar GenAI tool, create a fictional student resume. This artifact becomes the running example throughout all 12 sessions — evolving into a fully autonomous AI hiring system by Session 12.

Deliverable

A one-slide architecture sketch showing a GenAI system vs an Agentic AI system for the same use case (e.g. resume generation).

Key Takeaways

  • AI is not magic — it is statistical prediction at massive scale
  • Agentic AI differs from GenAI in its ability to plan, reason, and act
  • Every modern AI tool maps to one of three types: Predictive, Generative, or Agentic
  • The industry is moving from single models to multi-agent systems
Next →Session 2: LLM Fundamentals & Output Behavior