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Generative AI & AI Agents Made Easy for Everyone
Highest Rated
Rating: 4.5 out of 5(34 ratings)
166 students

Generative AI & AI Agents Made Easy for Everyone

Learn LLMs, Prompt Engineering, RAG, AI Agents, Architecture & Build Your First AI Agent — Step-by-Step from Scratch
Highest Rated
Created byCyber talents 30,000+ Student Enrollments
Last updated 3/2026
English

What you'll learn

  • Understand the complete fundamentals of Artificial Intelligence, Machine Learning, Deep Learning, and Generative AI using simple real-life analogies.
  • Explain how Large Language Models (LLMs) like ChatGPT actually work, including tokenization, embeddings, and self-supervised learning.
  • Understand and implement Retrieval-Augmented Generation (RAG) to make AI systems answer from your own documents.
  • Understand the full lifecycle and architecture of AI Agents, including memory, planning, reasoning, action, and reflection phases.
  • Build your first AI Agent using CrewAI through a hands-on practical lab.
  • Differentiate between Assistive, Human-in-the-Loop, Human-on-the-Loop, and Fully Autonomous AI agents and understand their real-world enterprise impact.

Course content

6 sections • 44 lectures • 4h 15m total length

  • What Is Artificial Intelligence? – Explained with Real-Life Analogies8:11
  • Introduction to Machine Learning – Easy Explanation7:00
  • What is Deep Learning? How Deep Learning Really Works7:11
  • Why It’s Called Deep Learning – Understanding the “Deep"4:50

Requirements

  • Basic computer knowledge and ability to use the internet.

Description

Generative AI & AI Agents Made Easy for Beginners

Artificial Intelligence is transforming every industry.

However, most AI courses are either too technical for beginners or too superficial to provide real understanding.

This course is designed to help you understand Generative AI and AI Agents from the foundation level, in simple language, step by step.

We begin with the basics:

• What is Artificial Intelligence
• What is Machine Learning
• What is Deep Learning
• How Generative AI actually works

Then we move into core concepts:

• What are Large Language Models (LLMs)
• Tokenization and why tokens matter
• Embeddings and how AI understands meaning
• Prompt Engineering with practical examples
• Retrieval-Augmented Generation (RAG)
• Fine-Tuning AI models
• Understanding and preventing AI hallucinations

After building a strong foundation, we explore AI Agents in depth:

• What an AI Agent is and how it works
• AI Agent lifecycle (Goal → Reason → Act → Reflect)
• AI Agent architecture (Memory, Planning, Action)
• Types of AI Agents (Assistive to Fully Autonomous)
• Real-world enterprise use cases

Finally, you will build your first AI Agent using CrewAI in a hands-on practical lab.

This course is suitable for:

• Absolute beginners
• Students and fresh graduates
• IT professionals and engineers
• SOC analysts and enterprise teams
• Business leaders who want conceptual clarity

No prior AI or programming experience is required.

By the end of this course, you will not just use AI tools — you will understand how they work internally and how modern AI systems are designed.

Who this course is for:

  • Absolute beginners who want to understand Generative AI and AI Agents from scratch in simple language.
  • Students and fresh graduates who want to build strong AI fundamentals before moving into advanced topics.
  • IT professionals, SOC analysts, developers, and engineers who want to understand how AI agents work internally and how they are used in enterprise environments.
  • Business leaders, managers, and decision-makers who want a clear conceptual understanding of AI systems without deep coding.

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