🔥 What You'll Achieve

Master the next frontier of AI: autonomous intelligent systems

🧠 Build Intelligent Agents

Create autonomous systems that perceive, reason, and act in complex environments with tools and actions

🧭 Master Planning & Reasoning

Learn reasoning patterns: ReAct, Chain-of-Thought, Tree-of-Thought, and multi-agent collaboration

🚀 Deploy Production Agents

Build real-world applications: research assistants, code review systems, business automation

Prerequisites

🔤
Python Programming

Comfortable with Python basics, functions, and async programming (covered in Python course)

🧠
LLM Fundamentals

Understanding of LLMs, embeddings, and prompting (LLMs & Transformers course)

🏗️
Software Architecture

Basic understanding of system design, APIs, and distributed systems concepts

📈 AI Agent Engineer Career Outlook

Emerging field with extraordinary opportunity

$160k+
Average AI Agent/Agentic AI Engineer
(Emerging role, 2024)
900%+
Growth in AI agent job postings
(LinkedIn, 2023-2024)
2025
Year of AI Agents - Gartner prediction
(Gartner Hype Cycle, 2024)

🎓 Core Modules

Comprehensive coverage of agent systems from fundamentals to production

Beginner

1. What Are AI Agents?

Understand agent architectures, decision-making processes, and how they differ from traditional AI systems.

⏱️ 22 min read
Start Learning
Beginner

2. Agent Planning & Reasoning

Learn how agents think. Master ReAct, Chain-of-Thought, Tree-of-Thought, and hierarchical planning strategies.

⏱️ 25 min read
Start Learning
Intermediate

3. Agent Tools & Actions

Equip agents with capabilities. Build tools, integrations, and actions for agents to interact with the world.

⏱️ 28 min read
Start Learning
Intermediate

4. Agent Frameworks

Master LangChain agents, AutoGPT architecture, and other frameworks for building autonomous systems.

⏱️ 30 min read
Start Learning
Advanced

5. Multi-Agent Systems

Design agent teams. Learn communication patterns, negotiation, coordination, and emergent behaviors in multi-agent systems.

⏱️ 32 min read
Start Learning
Advanced

6. Agent Evaluation & Safety

Evaluate agent performance, implement safety guardrails, handle errors, and ensure trustworthy autonomous systems.

⏱️ 28 min read
Start Learning
Advanced

7. Building Production Agent Systems

Deploy agents at scale. Learn deployment patterns, monitoring, continuous improvement, and real-world applications.

⏱️ 35 min read
Start Learning

Hands-on Projects

Build real-world agent applications

Intermediate

Project 1: AI Research Assistant

Build an autonomous research agent that searches the web, reads content, summarizes findings, and generates reports

⏱️ 2-3 hours
Start Project →
Advanced

Project 2: Multi-Agent Code Review System

Design a team of code review agents with different specialties (security, performance, style) that collaborate

⏱️ 2-3 hours
Start Project →
Advanced

Project 3: Business Process Automation Agent

Create an agent that automates business workflows: email processing, scheduling, CRM updates, and notifications

⏱️ 2-3 hours
Start Project →

💡 Continue Your Learning Journey

Explore more courses to expand your AI and programming skills

🤖

LLMs & Transformers

Master large language models, fine-tuning, inference optimization, and building applications

Explore Course →
🧠

Deep Learning

Neural networks, CNNs, RNNs, attention mechanisms, and transformers

Explore Course →
📊

Machine Learning

Foundations of ML: supervised learning, unsupervised learning, and practical applications

Explore Course →