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Agentic AI

Design autonomous AI systems that plan, decide and act — multi-agent architectures, orchestration and responsible deployment for real products.

  • 1 month
  • 20 topics
  • Final exam
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Agentic AI

Your learning path

4 weeks from start to certificate

  1. 1

    Week 1

    Agentic systems thinking

  2. 2

    Week 2

    Planning and orchestration

  3. 3

    Week 3

    Data, tools and knowledge

  4. 4

    Week 4

    Evaluation and launch

  5. Finish

    Exam & certificate

Every week

How each week works

Learn

Live class with your trainer

Practice

Guided hands-on exercises

Build

Mini project for your portfolio

Review

Feedback and Q&A

Concept lab

See how the core concepts connect

Follow the path from foundations to real workplace application. Every concept feeds the next project.

1

Week 1

From chatbots to autonomous agents

2

Week 1

Reasoning patterns: ReAct, plan-and-execute

3

Week 2

Task decomposition and dynamic planning

4

Week 2

Orchestrator-worker architectures

5

Week 3

Enterprise data connectors

6

Week 3

RAG pipelines for agents

7

Week 4

Agent evals and quality scoring

8

Week 4

Guardrails, approvals and audit trails

Topics per week

20 topics · 0 lessons
Week 15
Week 25
Week 35
Week 45

Course curriculum

1

Week 1 · 5 topics

Agentic systems thinking

By the end of this week: Choose the right agentic pattern for a problem

  1. 1.1From chatbots to autonomous agents
  2. 1.2Reasoning patterns: ReAct, plan-and-execute
  3. 1.3When to use agents vs simple automation
  4. 1.4System design for agentic products
  5. 1.5Risks, limits and responsible AI
Week 1
Agentic systems thinking
From chatbots to autonomous agents
Reasoning patterns: ReAct, plan-and-execute
When to use agents vs simple automation
System design for agentic products
Risks, limits and responsible AI

Hands-on project

Design doc for an agentic product feature

2

Week 2 · 5 topics

Planning and orchestration

By the end of this week: Architect a multi-agent orchestration system

  1. 2.1Task decomposition and dynamic planning
  2. 2.2Orchestrator-worker architectures
  3. 2.3Tool routing and selection
  4. 2.4State machines and checkpoints
  5. 2.5Parallel agents and aggregation
Week 2
Planning and orchestration
Task decomposition and dynamic planning
Orchestrator-worker architectures
Tool routing and selection
State machines and checkpoints
Parallel agents and aggregation

Hands-on project

An orchestrator coordinating three specialist agents

3

Week 3 · 5 topics

Data, tools and knowledge

By the end of this week: Ground agents in real company data and tools

  1. 3.1Enterprise data connectors
  2. 3.2RAG pipelines for agents
  3. 3.3Structured outputs and validation
  4. 3.4API and database actions safely
  5. 3.5Caching, cost and performance
Week 3
Data, tools and knowledge
Enterprise data connectors
RAG pipelines for agents
Structured outputs and validation
API and database actions safely
Caching, cost and performance

Hands-on project

A knowledge agent over a real dataset

4

Week 4 · 5 topics

Evaluation and launch

By the end of this week: Launch and operate an agentic system with confidence

  1. 4.1Agent evals and quality scoring
  2. 4.2Guardrails, approvals and audit trails
  3. 4.3Observability and incident response
  4. 4.4Rollout strategy and change management
  5. 4.5Capstone presentation
Week 4
Evaluation and launch
Agent evals and quality scoring
Guardrails, approvals and audit trails
Observability and incident response
Rollout strategy and change management
Capstone presentation

Hands-on project

Capstone: end-to-end agentic workflow with evals and guardrails

Final exam & certificate

Finish the 4 weeks, then take the online exam. Score 70% or more to pass.

Job-ready syllabus

Learn it. Build it. Explain it. Use it.

The syllabus goes beyond watching lessons. You practice the tasks employers expect, produce evidence of your skills, and prepare to discuss your work clearly.

Workplace skills

Apply From chatbots to autonomous agents, Reasoning patterns: ReAct, plan-and-execute, When to use agents vs simple automation, System design for agentic products in guided business scenarios.

Portfolio proof

Complete 4 practical projects, including Design doc for an agentic product feature.

Professional practice

Present your work, respond to feedback, document decisions, and improve the final result.

Interview readiness

Review common role questions and explain your process, tools, trade-offs, and project outcomes.

Your completion pack

Weekly projects, trainer feedback, final assessment, and a certificate you can add to your résumé and LinkedIn profile.

Why learn from us?

Six reasons students pick M - IT Solutions

One-month programs built around live teaching, real projects and support that actually shows up.

Live online classes

Learn with a real instructor in real time — not pre-recorded videos you watch alone.

Hands-on projects

Every week ends with practical work you can show employers on day one.

1-on-1 trainer time

Stuck or want to go deeper? Book private sessions with a trainer whenever you need.

A real learning area

Lessons, progress tracking and exams all live in your account, on any device.

Trusted by companies

We train individuals and whole teams — from small businesses to enterprise programs.

Verified & supported

Verified accounts, real certificates and a support team that answers when you write.

1000+ learners trainedLive, instructor-ledProject-based every week
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