AI Agents

Build AI agents that use tools, remember context and complete real tasks end-to-end — from chat assistants to automated workflows.

1 month
20 topics
Final exam

Book a trainer

Your learning path

4 weeks from start to certificate

1
Week 1
Agent fundamentals
2
Week 2
Tools and memory
3
Week 3
Multi-step workflows
4
Week 4
Ship and operate
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.

Week 1

What AI agents are and how they differ from chatbots

Week 1

LLMs, prompts and structured outputs

Week 2

Connecting APIs, databases and files as tools

Week 2

Short-term vs long-term memory

Week 3

Planning and task decomposition

Week 3

Multi-agent patterns and handoffs

Week 4

Deploying agents to production

Week 4

Cost, latency and rate-limit management

Topics per week

20 topics · 0 lessons

Week 15

Week 25

Week 35

Week 45

Course curriculum

Week 1 · 5 topics

Agent fundamentals

By the end of this week: Explain how agents work and build a single-tool agent

1.1What AI agents are and how they differ from chatbots
1.2LLMs, prompts and structured outputs
1.3Tool calling and function schemas
1.4Agent loops: plan, act, observe
1.5Safety, guardrails and human approval

Week 1
Agent fundamentals

What AI agents are and how they differ from chatbots

LLMs, prompts and structured outputs

Tool calling and function schemas

Agent loops: plan, act, observe

Safety, guardrails and human approval

Hands-on project

A personal assistant agent that answers with one tool

Week 2 · 5 topics

Tools and memory

By the end of this week: Give your agent real tools and memory

2.1Connecting APIs, databases and files as tools
2.2Short-term vs long-term memory
2.3Vector search and retrieval (RAG)
2.4Error handling and retries
2.5Evaluating agent answers

Week 2
Tools and memory

Connecting APIs, databases and files as tools

Short-term vs long-term memory

Vector search and retrieval (RAG)

Error handling and retries

Evaluating agent answers

Hands-on project

A research agent that searches, reads and summarizes

Week 3 · 5 topics

Multi-step workflows

By the end of this week: Orchestrate multi-step agent workflows reliably

3.1Planning and task decomposition
3.2Multi-agent patterns and handoffs
3.3Scheduling and background runs
3.4Human-in-the-loop checkpoints
3.5Logging, tracing and debugging

Week 3
Multi-step workflows

Planning and task decomposition

Multi-agent patterns and handoffs

Scheduling and background runs

Human-in-the-loop checkpoints

Logging, tracing and debugging

Hands-on project

An automated workflow agent with approval steps

Week 4 · 5 topics

Ship and operate

By the end of this week: Deploy a production-ready agent with guardrails

4.1Deploying agents to production
4.2Cost, latency and rate-limit management
4.3Monitoring and quality evals
4.4Security: prompt injection and data leaks
4.5Capstone review and demo day

Week 4
Ship and operate

Deploying agents to production

Cost, latency and rate-limit management

Monitoring and quality evals

Security: prompt injection and data leaks

Capstone review and demo day

Hands-on project

Capstone: a deployed agent solving a real business task

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 What AI agents are and how they differ from chatbots, LLMs, prompts and structured outputs, Tool calling and function schemas, Agent loops: plan, act, observe in guided business scenarios.

Portfolio proof

Complete 4 practical projects, including A personal assistant agent that answers with one tool.

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