Catalogue AI Agents & Agentic Systems

ChatGPT Claude AI Machine Learning AI Agents & Agentic Systems

Catalog AI Agents & Agentic Systems

From beginner to expert — buy individually or as a bundle with a certificate of completion.

Each course brings together 8 interactive lessons in a Learning Workspace designed to turn knowledge into operational skills. Guided lessons, dynamic quizzes, conversational support, practical cases, additional resources and progress tracking let you learn effectively, at your own pace. The 15 courses follow a level-by-level progression, from scoping a first AI agent to designing, securing and deploying a complete, observable multi-agent system.

🎓 15 courses • 📚 120 interactive lessons • ⏱️ 45 to 75 hours of conversational learning

Preview of a lesson in the Learning Workspace

Level 1 — 9,90 € excl. VAT Level 2 — 12,90 € excl. VAT Level 3 — 15,90 € excl. VAT Level 4 — 18,90 € excl. VAT Level 5 — 24,90 € excl. VAT

⭐ Best value

AI Agents & Agentic Systems — Complete Pack (15 courses)

AGENTS01 → AGENTS15 · 1 800 credits included

🎓 Certificate : "Professional Agents" 247,50 €

📚 15 courses 📖 120 lessons ⏱ 45 to 75 h ⚡ 1800 credits included

142,90 € excl. VAT

Savings : 104,60 €

AI Agents Foundations Pack 3 courses Niveau 1

🎓 Certificate : Agents — AI Agents Foundations

📚 3 courses 📖 24 lessons ⏱ 9 to 15 h ⚡ 240 credits included

29,70 €

22,90 excl. VAT

Savings : 6,80 €

01 Level 1

Understand AI agents and scope a use case

distinguish assistant, workflow and agent, then decide whether agentic autonomy actually adds value

Understand what sets apart assistant, workflow and agent Identify goal, environment, tools and state Understand the perceive, decide, act, observe loop Define an acceptable level of autonomy Compare LLM-driven decisions and deterministic logic Assess the value, cost, latency and risk of autonomy Define success and stopping criteria Workshop: decide whether a need truly justifies an agent

📚 8 lessons ⏱ 3 to 5 h 🎯 Quiz included ⚡ 80 credits included

02 Level 1

Design an agent's instructions and behavior

define agentic behavior that is predictable, testable and bounded by explicit rules

Define the agent's role, goal and responsibility Structure constraints and standing rules Separate instructions, context and user data Define structured outputs and expected schemas Design action policies and stopping criteria Handle uncertainty, refusal and clarification requests Version and test the instructions Workshop: turn a vague prompt into a testable behavioral contract

📚 8 lessons ⏱ 3 to 5 h 🎯 Quiz included ⚡ 80 credits included

03 Level 1

Give an agent tools and structured actions

let an agent act on external systems with typed, validated and controlled tools

Understand the tool-calling cycle Turn a function into a typed tool Define reliable parameters, descriptions and schemas Connect an external API as a tool Connect a SQL database while limiting allowed operations Validate tool arguments, outputs and errors Handle timeouts, permissions and execution failures Workshop: build an agent using several controlled tools

📚 8 lessons ⏱ 3 to 5 h 🎯 Quiz included ⚡ 80 credits included

Context, Memory and Tools Pack 3 courses Niveau 2

🎓 Certificate : Agents — Context, Memory and Tools

📚 3 courses 📖 24 lessons ⏱ 9 to 15 h ⚡ 300 credits included

38,70 €

28,90 excl. VAT

Savings : 9,80 €

04 Level 2

Manage context, state, memory and sessions

maintain an agent's continuity without confusing conversation history, business state and persistent memory

Distinguish run context, history and business state Understand sessions and multi-turn continuity Design short-term memory Design selective persistent memory Manage compaction and context limits Separate user data, preferences and secrets Plan for forgetting, expiration and session resumption Workshop: design a memory and persistence strategy

📚 8 lessons ⏱ 3 to 5 h 🎯 Quiz included ⚡ 100 credits included

05 Level 2

Connect an agent to reliable knowledge

give agents external information that is traceable, fresh and suited to the need

Distinguish model knowledge from external knowledge Connect relevant files and documents Use search and dynamic retrieval Query a knowledge base or service Preserve provenance and citations Control freshness, rights and source quality Handle missing, conflicting or insufficient information Workshop: build an agentic answer grounded in traceable sources

📚 8 lessons ⏱ 3 to 5 h 🎯 Quiz included ⚡ 100 credits included

06 Level 2

Connect tools and data with Model Context Protocol

use MCP to standardize how agentic applications access external tools, resources and systems

Understand MCP's role in an agentic system Distinguish MCP client, MCP server, tools and resources Understand transports, sessions and the stateless core Discover MCP 2026-07-28's extensions and long-running tasks Design permissions and authorization for MCP tools Connect an MCP server to an agent Add approval for sensitive operations Workshop: build and secure a small MCP integration

📚 8 lessons ⏱ 3 to 5 h 🎯 Quiz included ⚡ 100 credits included

Orchestration and Multi-Agent Systems Pack 3 courses Niveau 3

🎓 Certificate : Agents — Orchestration and Multi-Agent Systems

📚 3 courses 📖 24 lessons ⏱ 9 to 15 h ⚡ 360 credits included

47,70 €

35,90 excl. VAT

Savings : 11,80 €

07 Level 3

Design durable agentic workflows

combine LLM decisions and deterministic control in workflows that can wait, resume and handle errors

Distinguish agentic loop from explicit workflow Design sequences, branches and loops Represent and evolve workflow state Add checkpoints and persistence Handle timeouts, retries and partial errors Make actions idempotent and replayable Suspend then resume a long-running execution Workshop: build an agentic workflow that resumes after a failure

📚 8 lessons ⏱ 3 to 5 h 🎯 Quiz included ⚡ 120 credits included

08 Level 3

Orchestrate several specialized agents

choose and implement multi-agent patterns without needlessly multiplying models and costs

Understand why to specialize several agents Use a specialized agent as a tool Delegate with a handoff Build a manager and specialist agents Route a task to the right agent Parallelize then aggregate subtasks Limit context, cost and cross-cutting responsibilities Workshop: compare a single-agent and a multi-agent solution

📚 8 lessons ⏱ 3 to 5 h 🎯 Quiz included ⚡ 120 credits included

09 Level 3

Make agents interoperate with A2A

understand and implement communication between independent agents using an open protocol

Understand the role of the A2A protocol Discover AgentCard and published capabilities Understand tasks, messages and artifacts Discover A2A 1.0's protocol bindings Discover and select a remote agent Delegate a task and retrieve its result Clearly distinguish A2A from MCP Workshop: build a delegation between two independent agents

📚 8 lessons ⏱ 3 to 5 h 🎯 Quiz included ⚡ 120 credits included

Security, Control and Evaluation Pack 3 courses Niveau 4

🎓 Certificate : Agents — Security, Control and Evaluation

📚 3 courses 📖 24 lessons ⏱ 9 to 15 h ⚡ 420 credits included

56,70 €

42,90 excl. VAT

Savings : 13,80 €

10 Level 4

Secure an agentic system

reduce the risks created by agents able to read data and execute actions

Build a threat model for an agent Understand direct and indirect prompt injection Limit tool permissions with least privilege Protect secrets, tokens and sensitive data Validate arguments and results before acting Reduce exfiltration, SSRF and unauthorized access Use isolation, sandboxing and trust boundaries Workshop: audit and harden an agentic system

📚 8 lessons ⏱ 3 to 5 h 🎯 Quiz included ⚡ 140 credits included

11 Level 4

Put a human in the loop and control sensitive actions

have risky actions approved, modified or declined without breaking workflow continuity

Classify actions by risk level Define which actions require approval Pause a run before a sensitive operation Present the human with the context needed to decide Approve, modify or decline an action Serialize state and resume after a decision Manage delays, cancellation, audit and accountability Workshop: build a complete human-in-the-loop workflow

📚 8 lessons ⏱ 3 to 5 h 🎯 Quiz included ⚡ 140 credits included

12 Level 4

Test, evaluate, trace and diagnose agents

measure an agent's quality on reproducible scenarios and understand why a run succeeds or fails

Define the behaviors to evaluate Build a dataset of representative scenarios Test final answers and structured outputs Evaluate tool choices and trajectories Measure success, cost, latency and step count Automate regression tests Analyze tracing, handoffs, guardrails and tool calls Workshop: diagnose an agentic regression from traces

📚 8 lessons ⏱ 3 to 5 h 🎯 Quiz included ⚡ 140 credits included

Professional Agentic Systems Mastery Pack 3 courses Niveau 5

🎓 Certificate : Agents — Professional Agentic Systems Mastery

📚 3 courses 📖 24 lessons ⏱ 9 to 15 h ⚡ 480 credits included

74,70 €

48,90 excl. VAT

Savings : 25,80 €

13 Level 5

Make agents reliable, performant and cost-controlled

design agents able to run over time despite errors, quotas, latency and variable costs

Define turn, token, cost and latency budgets Handle timeouts, retries and backoff Control idempotence and partial actions Manage concurrency, quotas and rate limits Set up caching and result reuse Design fallback and degraded modes Monitor usage, quality and cost metrics Workshop: stabilize a slow, costly and fragile agent

📚 8 lessons ⏱ 3 to 5 h 🎯 Quiz included ⚡ 160 credits included

14 Level 5

Build and deploy a professional agentic system

assemble tools, memory, MCP, specialized agents, approvals, guardrails, tracing and an API into an operable system

Structure an agentic Python application Build agents, tools and structured outputs Add memory, sessions and state storage Connect MCP and external services Add specialized agents and controlled handoffs Add guardrails and human approvals Expose the agent via an API and enable tracing/evaluations Workshop: deploy a reproducible, observable agentic system

📚 8 lessons ⏱ 3 to 5 h 🎯 Quiz included ⚡ 160 credits included

15 Level 5

Full professional AI Agents project

design, secure, evaluate, deploy and defend an agentic system end to end

Scope the goal, perimeter and limits of autonomy Design the architecture, instructions and tool schemas Connect data, APIs and MCP Organize memory, state and delegation Build the threat model, permissions and approval matrix Create an evaluation dataset, tests and tracing Define cost/latency budget, monitoring and runbook Final workshop: demonstrate and defend the complete agentic system

📚 8 lessons ⏱ 3 to 5 h 🎯 Quiz included ⚡ 160 credits included