CTU-AI420.AJ1
AI Agents in Practice
- Practice in 33 Hands-On Labs — nothing to install
- 5 Interactive Lessons and 37 topics mapped to the official exam objectives
Intermediate Self-paced · 1 year access
33 Hands-On LiveLabs
Practice real IT tasks in guided environments.
- Real environments
- Auto-graded
- No installation
5Interactive Lessons
37Topics
33LiveLab
10Videos
69Flashcards
69Glossary of terms
01 / Lessons & labs
See exactly what you will learn and practice
Lessons
5 Interactive Lessons · 37 topics01 Foundations of Autonomous Agents 7 topics · 8 LiveLab +
- Understanding foundation models and the rise of LLMs
- Latest significant breakthroughs
- Road to AI agents
- The need for an additional layer of intelligence: introducing AI agents
- Evolution of agents from RPA to AI agents
- Components of an AI agent
- Different types of AI agents
8 LiveLab in this lesson — see the labs panel →
02 Computational Models and Generative AI in Multi-Agent Systems 8 topics · 6 LiveLab +
- Introduction to AI orchestrators
- Core components of an AI orchestrator
- Overview of the most popular AI orchestrators in the market
- How to choose the right orchestrator for your AI agent
- Different types of memory
- Managing context windows
- Storing, retrieving, and refreshing memory
- Popular tools to manage memory
6 LiveLab in this lesson — see the labs panel →
03 Coordination and Communication in Multi-Agent Systems 3 topics · 6 LiveLab +
- Introduction to the LangChain ecosystem
- Overview of out-of-the-box components
- Use case – e-commerce AI agent
6 LiveLab in this lesson — see the labs panel →
04 Human-Agent Interaction and Trust 9 topics · 7 LiveLab +
- The anatomy of an AI agent’s tools
- Hardcoded and semantic functions
- APIs and web services
- Databases and knowledge bases
- Synchronous versus asynchronous calls
- Introduction to multi-agent systems
- Understanding and designing different workflows for your multi-agent system
- Overview of multi-agent orchestrators
- Building your first multi-agent application with LangGraph
7 LiveLab in this lesson — see the labs panel →
05 Societal Impact and Future of Human-Agent Ecosystems 10 topics · 6 LiveLab +
- What is a protocol?
- Understanding the Model Context Protocol
- Agent2Agent
- Agent Commerce Protocol
- Toward an agentic web
- Ethical challenges in AI – fairness, transparency, privacy, and accountability
- Agentic AI autonomy and its unique ethical challenges
- Guardrails for safe and ethical AI
- Content filtering and moderation in AI systems
- Addressing the challenges: governance, regulations, and collaboration
6 LiveLab in this lesson — see the labs panel →
Hands-On Labs Our edge
33 LiveLabs- Building a Lightweight Agent with a SLM
- Building a Conversational AI Agent
- Understanding How AI Tutor Assistants Support Learning
- Using ChatGPT to Analyze an Image
- Changing the Style of an Image Using ChatGPT
- Understanding AI Reasoning Through Puzzles
- Implementing Task Automation Agents
- ChatGPT Reasoning Over a Puzzle
- Integrating External APIs and Tools into Agents
- Building a Customer Support AI Agent with LangChain
- Implementing Short-Term Memory in an AI Agent
- Implementing Temporal Reasoning in Conversational Agents
- Exploring AI Orchestrators
- Understanding Few-Shot Prompting
- Integrating LLMs with LangChain Open Source Framework
- Designing Modular AI Systems Using Build-Time Logic
- Creating a Knowledge Retrieval Agent with Vector Search
- Managing Agent Reasoning with Agent Executors
- Building the AskMamma Agent
- Building the CalculatorAssistant AI Agent
- Building a Temperature Conversion Tool for AI Agents
- Building AI Agents with Web APIs
- Designing Agentic RAG Systems with Tool-Based Retrieval
- Implementing Synchronous and Asynchronous Agent Tool Calls
- Designing Conversational Multi-Agent Systems Using AutoGen
- Building a Multi-Agent Application with LangGraph
- Understanding Tools in AI Agents
- Designing Agent2Agent Communication Protocols for Multi-Agent Systems
- Designing Agent Discoverability Using Agent Cards
- Implementing NLWeb Endpoints for AI Agents
- Implementing Content Filtering and Moderation Systems
- Understanding AI Protocols and the Agentic Web
- Understanding Ethical Challenges in AI and Agentic Systems
Labs run in your browser — nothing to install.
02 / FAQs
Questions before you start
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- 1 year of full access
- 33 LiveLab included
- Certificate of completion