eBook / Playbook

AI Agent - From Beginner to Innovator in 30 Days

£16.99

Learn how to understand, use and build with AI agents step by step.

✅ INTRODUCTION

Why AI Agents Are the Future of Technology
Who Is This Course For?
How to Use This Course to Get the Most Out of It
What You Need to Get Started
Description of Bonuses and Additional Materials

✅ CHAPTER 1 – Introduction to AI Agents

What is an AI Agent? Definition and Basic Concepts
History of AI Agents
Classification of AI Agents
Overview of Popular Frameworks and Libraries
Trends in AI Agents in 2025
Examples of Real-World Applications of AI Agents

✅ CHAPTER 2 – Technical Fundamentals

Architecture of an AI Agent
Key Components of an AI Agent Pipeline
Prompt Engineering
Understanding Tokens and Model Costs
APIs in Agent Communication
Storing Conversation Context
Developer Tools: Python, Node.js, LangChain, Vector Databases, Postman, Insomnia

✅ CHAPTER 3 – Building Your First Simple AI Agent

Planning Your Simple AI Agent
Designing Prompts
Coding Your Agent in Python
Building Your Agent in Node.js
Examples of Simple Agents
Debugging Simple Agents
Deploying Your Agent Locally or in the Cloud

✅ CHAPTER 4 – Advanced AI Agents

Simple vs Advanced Agents
Multi-Step Reasoning
Planning and Decision Making
Long-Term Memory
Retrieval-Augmented Generation
Tool Use
Multi-Agent Systems
Advanced Agent Examples

✅ CHAPTER 5 – Agent Architectures

What Are AI Agent Architectures?
Why Architecture Matters
ReAct
Reflexion
Tree of Thoughts
Graph of Thoughts
Agent-Tool Loop
AGI-Inspired Architectures
Architecture Diagrams
Choosing the Right Architecture

✅ CHAPTER 6 – Integrating AI Agents

Why Integrate an AI Agent?
Connecting Agents to Databases
Vector Databases
Web Applications
Messaging Platforms
Cloud Services
Multi-Source Data Integration

✅ CHAPTER 7 – Testing and Optimizing AI Agents

Why Testing Is Crucial
Functional Tests
Security Tests
Cost Tests
Automated Prompt Testing
Monitoring Token Costs
Logging User Interactions
Detecting Hallucinations
Optimizing Agent Speed

✅ CHAPTER 8 – Security and Ethics in AI Agents

Security and Ethics
Hallucinations and Misinformation
Personal Data Protection
Legal Regulations
Ethical AI Agent Design
Transparency
Monitoring Security
Ethical Challenges in 2025

✅ CHAPTER 9 – Tools for Building AI Agents

Frameworks and Libraries
LangChain
AutoGen
CrewAI
MetaGPT
Vector Database Tools
API Testing Tools
Cost Monitoring Tools
Integrating Multiple Tools

✅ CHAPTER 10 – Using ChatGPT and Other LLMs to Build AI Agents

Why Use LLMs?
ChatGPT as the Brain of Your Agent
Function Calling
Claude AI
Gemini
Mistral
Choosing an LLM
Multi-LLM Agents
Practical Tips

✅ CHAPTER 11 – Prompt Engineering Techniques

What Is Prompt Engineering?
Basic Rules
Prompt Structure
Advanced Techniques
Chain-of-Thought
ReAct
Zero-Shot vs Few-Shot
Prompt Templates
Reducing Hallucinations
Testing Prompts

✅ CHAPTER 12 – Case Studies

AI Agent in E-commerce
AI Agent in a Law Firm
AI Agent in HR
AI Agent in Finance
AI Agent in Marketing
Key Takeaways

✅ CHAPTER 13 – Building Your Own AI Agent Step by Step

Where to Start
Choosing the Architecture
Selecting an LLM
Designing Prompts
Preparing Data
Implementing the Agent
Integrating Tools
Testing and Optimization
Deployment
FAQ Agent Example

✅ CHAPTER 14 – Premium Materials

Ready-to-Use Prompts
Prompt Templates
AI Agent Blueprints
Tools and Resources
Development Checklist
Hallucination Testing Prompts
Example Implementations

✅ CHAPTER 15 – Summary and Your Next Steps

What You’ve Learned
Your Next Steps
Choosing a Project
Using Premium Materials
Testing
Joining a Community
Keeping Up with Technology
Your Competitive Advantage
Final Advice

✅ BONUS – Materials and Resources

Sample Prompts for AI Agents
Frameworks and Libraries
Recommended Books and Articles
GitHub Projects
AI Agent Code Templates

Introduction

Why AI Agents Are the Future of Technology

We live in a time when Artificial Intelligence is no longer just a fascinating technological novelty. It has become a powerful tool transforming every industry — from business and healthcare to everyday life.

Increasingly, simple chatbots or single AI models are not enough. We need intelligent agents that understand context, make decisions, connect multiple data sources, and operate in complex environments.

AI Agents are the future because they don’t just answer questions — they solve real-world problems.

Who Is This Course For?

This course was created for developers who want to enter the world of AI agents, AI and Data Science professionals aiming to build more complex systems, entrepreneurs and startup founders seeking new automation opportunities, and technology enthusiasts eager to understand how modern intelligent systems work.

You don’t have to be an AI expert. All you need is curiosity, a desire to learn, and a bit of courage to start creating your own agents.

How to Use This Course for Maximum Benefit

This course is not just theory. Inside, you’ll find practical code examples in Python and Node.js, ready-to-use prompts, architectural diagrams, and case studies showing how to build an agent step by step.

To get the most out of this course, read the chapters in order, try the examples, experiment, and use the bonus materials to accelerate your work.

What You Need to Get Started

To fully benefit from this course, you should have a basic understanding of Python or JavaScript, access to services like OpenAI, Claude, or Mistral, a willingness to experiment, and a computer with internet access.

About Bonuses and Additional Materials

By purchasing the premium version of this course, you’ll get an extensive prompt library, ready-to-use code snippets, architectural diagrams, checklists, documentation templates, real-life case studies, and access to a private Telegram group for support.

This course is designed as a practical guide that can save you hundreds of hours and help you create professional AI solutions.

Let’s embark on this journey together. It’s time to build your own AI Agent.