uCertify

AI Agents in Practice

(CTU-AI420.AJ1)
Lessons
Lab
AI Tutor (Add-on)
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Skills You’ll Get

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1

Foundations of Autonomous Agents

  • 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
2

Computational Models and Generative AI in Multi-Agent Systems

  • 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
3

Coordination and Communication in Multi-Agent Systems

  • Introduction to the LangChain ecosystem
  • Overview of out-of-the-box components
  • Use case – e-commerce AI agent
4

Human-Agent Interaction and Trust

  • 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
5

Societal Impact and Future of Human-Agent Ecosystems

  • 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

1

Foundations of Autonomous Agents

  • Understanding How AI Tutor Assistants Support Learning
  • Using ChatGPT to Analyze an Image
  • Changing the Style of an Image Using ChatGPT
  • ChatGPT Reasoning Over a Puzzle
2

Computational Models and Generative AI in Multi-Agent Systems

  • Exploring AI Orchestrators
  • Understanding Few-Shot Prompting
3

Coordination and Communication in Multi-Agent Systems

  • Building the AskMamma Agent
4

Human-Agent Interaction and Trust

  • Building a Multi-Agent Application with LangGraph
  • Understanding Tools in AI Agents
5

Societal Impact and Future of Human-Agent Ecosystems

  • Understanding AI Protocols and the Agentic Web
  • Understanding Ethical Challenges in AI and Agentic Systems

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