Guided Agentic AI
A complete AI-guided learning experience for agentic AI, organized like a university AI curriculum.
Explore agentic AI course by course, from foundational concepts and LLMs to agent architectures, safety, and production deployment. Choose a guide, ask your own questions, follow suggested prompts, and learn at the level that fits you.
Agentic AI education, guided by AI
Guided Agentic AI is not a passive video course. It is an interactive learning environment where you ask questions, explore concepts, work through practical exercises, and receive detailed, personalized explanations from your personal AI guides. Every answer is tailored to your level — whether you are exploring AI for the first time or building production agentic systems.
Each course covers a core area of agentic AI from first principles. The learning happens through dialogue at your questions, your pace, your level. Choose from five AI teaching personas, set your difficulty, and explore one of the most consequential fields in modern technology.
Beyond the courses, Guided Agentic AI publishes regular AI news and original blog articles — so there is always something new to read, discuss, and learn from. It is a living platform, not a static textbook.
Track your progress. Earn a certificate.
Sign in with Google to track which lessons you have completed across every course, pick up right where you left off, and earn a printable Certificate of Completion for each course you finish — just like a college transcript, but at your own pace.
Agentic AI courses
Structured like a university AI curriculum
Introduction to Agentic AI
A broad, conceptual introduction to Agentic AI as a discipline. Explore what AI agents are, how they reason, plan, and act in the world, and why agentic systems represent a paradigm shift in how we build and deploy AI.
AI Fundamentals & Large Language Models
Understand the foundations of modern AI and the large language models (LLMs) that power agentic systems. Learn how neural networks learn, what makes LLMs special, and how they generate text one token at a time.
Prompt Engineering
Master the art and science of writing effective prompts. Learn how prompt structure, context, and framing dramatically affect model outputs, and explore advanced techniques like chain-of-thought, few-shot prompting, and system prompt design.
Tool Use & Function Calling
Learn how AI agents extend their capabilities through tools. Explore function calling APIs, tool design patterns, and how agents decide which tools to use and when — turning language models into systems that can act on the real world.
Agent Architectures
Survey the major architectural patterns for building AI agents. From simple ReAct loops to structured planning systems, learn how different architectures trade off capability, reliability, and interpretability.
Multi-Agent Systems
Explore the design and behavior of systems with multiple collaborating AI agents. Learn how agents communicate, coordinate, divide labor, and resolve conflicts — and how emergent behaviors arise when many agents interact.
Your AI guides
Five specialized personas, each with a distinct teaching style
Dr. Aria Chen
LLMs, prompt engineering, and model internals
Prof. Liam Carter
Agent architectures, systems thinking, and production AI
Dr. Sofia Reyes
AI safety, ethics, alignment, and governance
Jordan Blake
Practical implementation, production systems, and developer experience
Dr. Omar Hassan
Multi-agent systems, emergent behavior, and complex adaptive systems
Each persona is available on every course page. Select your guide, set your difficulty, and start learning.
Guided learning paths
Not sure where to start? Choose a path designed for your goals.
I'm new to AI
Start from scratch and build a solid foundation in AI, from core concepts and large language models all the way to building your first agent.
- 1.Introduction to Agentic AI
- 2.AI Fundamentals & Large Language Models
- 3.Prompt Engineering
- 4.Tool Use & Function Calling
- 5.Agent Architectures
- 6.Multi-Agent Systems
- 7.Memory & Context Management
- 8.AI Safety & Alignment
- 9.Building Production Agents
- 10.Agentic AI in the Real World
I want to build my first agent
Jump straight into building. This path gives you the minimum foundation you need to build a working AI agent, then takes you step by step through the key engineering concepts.
- 1.Introduction to Agentic AI
- 2.Prompt Engineering
- 3.Tool Use & Function Calling
- 4.Agent Architectures
- 5.Building Production Agents
- →Pair with AI Fundamentals & LLMs for a deeper theoretical grounding.
I want to understand how LLMs work
Go deep on the technology behind large language models — from transformers and tokenization to training, fine-tuning, and alignment.
- 1.AI Fundamentals & Large Language Models
- 2.Prompt Engineering
- 3.Memory & Context Management
- 4.AI Safety & Alignment
I'm interested in AI safety
Explore the alignment problem, safety research, and the philosophical and technical challenges of building AI systems that are reliably beneficial.
- 1.Introduction to Agentic AI
- 2.AI Fundamentals & Large Language Models
- 3.Agent Architectures
- 4.AI Safety & Alignment
- 5.Agentic AI in the Real World
I'm deploying AI in production
A practitioner-focused path covering everything you need to build, evaluate, monitor, and maintain AI agents in real-world production environments.
- 1.Prompt Engineering
- 2.Tool Use & Function Calling
- 3.Agent Architectures
- 4.Memory & Context Management
- 5.Multi-Agent Systems
- 6.Building Production Agents
- 7.Agentic AI in the Real World
Latest AI news
Updated twice weekly from curated AI sources across the web...
MemeToro AI Agent Presale Gains Momentum as BNB Hack $36K Prize Looms
GlobeNewswire
agentic aiGames between Programs: The Ruliology of Competition
Stephenwolfram.com
ai industrySam Altman addresses rising AI token costs as corporate budgets vanish
4sysops.com
large language modelsClaude Code GitHub Action Flaw Let One Malicious Issue Hijack Repositories
Internet
From the AI blog
Original articles by our team of AI experts...
What is the Difference Between a Chatbot and an AI Agent?
Dr. Aria Chen
How do I write a good tool description for an AI agent?How to Write a Good Tool Description for an AI Agent
Jordan Blake
What is the future of work in an AI-augmented world?What is the Future of Work in an AI-Augmented World?
Dr. Omar Hassan
Why learn agentic AI this way?
Ask any question, any time
No class schedule, no embarrassment. Ask the question you have been afraid to ask. Get a clear, patient explanation at your level.
Learn at your pace
Go slowly through the hard concepts. Skip what you already know. Revisit anything whenever you need it. AI at your rhythm.
Build real understanding
Not just answers — explanations. The AI will walk you through architectures, give you analogies, work examples with you, and suggest what to explore next.
Ready to start learning agentic AI?
Begin with Introduction to Agentic AI — no prerequisites, no pressure, just curiosity. Pick an AI guide, set your level, and start asking questions.
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