Intermediate-Friendly AI CourseLive

AI Agents Engineering Bootcamp

8-Week Production AI Agents Journey

Learn to build, orchestrate, and deploy autonomous AI agents. Move beyond simple chatbots to multi-agent systems and stateful AI workflows using LangGraph and LangChain.

Enroll Now - $599 View Curriculum

Certificate included

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Intermediate friendly

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Practical learning

Course Content

Foundations of AI Agents

Week 1

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Topics Covered

play_circleAI agents vs LLM apps, real-world use cases, and agent architecture basics

play_circleReason-act-observe loops, tools, APIs, and system design essentials

Prompt Engineering and Control

Week 2

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Topics Covered

play_circleChain-of-thought, ReAct, few-shot prompting, and system prompt design

play_circleTool calling, structured outputs, prompt debugging, and optimization

LangChain and Tool-Based Agents

Week 3

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Topics Covered

play_circleChains, tools, memory, execution flow, and decision-making patterns

play_circleMulti-tool agents with search, calculator, and API integrations

RAG Systems

Week 4

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Topics Covered

play_circleEmbeddings, vector databases, chunking strategies, and document retrieval

play_circleRetrieval optimization and hallucination-reduction techniques

LangGraph Workflows

Week 5

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Topics Covered

play_circleState machines, planner-executor flows, and looping agent workflows

play_circleFallbacks, error handling, and structured multi-step design

Multi-Agent Systems

Week 6

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Topics Covered

play_circleAutoGen, CrewAI, collaboration patterns, and agent communication

play_circleTask delegation, role-based agents, and system scaling concepts

Production AI Systems

Week 7

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Topics Covered

play_circleDeployment with Streamlit/FastAPI, logging, monitoring, and observability

play_circleCost optimization, retries, guardrails, and safety handling

Evaluation and Capstone

Week 8

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Topics Covered

play_circleEvaluation, debugging, tracing, benchmarking, and optimization workflows

play_circleFinal capstone: full AI agent system with deployment and testing

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Practical Learning

No dry theory. We build real projects from scratch.

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Lifetime Updates

The course is constantly updated as soon as new features appear.

Benefits

Why This Course Stands Out

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Design and deploy autonomous AI agents using LangChain & RAG

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Multi-agent orchestration with CrewAI or AutoGen

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Production-level AI system design

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ISO-Certified Program

verifiedHigh Quality Content

scheduleSelf-Paced Learning

groupCommunity Support

Available Batches

Enroll in an upcoming cohort and learn alongside peers with live sessions.

Active49 seats left

Cohort 1 (Launch Batch)

calendar_todayMay 25, 2026 → Jul 24, 2026

$599

One-time

Enroll Now

Prerequisites

check_circlePython programming proficiency
check_circleBasic understanding of LLMs
check_circleWillingness to build complex systems

Projects You Will Build

Autonomous Research Agent

Design an agent system for automated web research and reporting.

Multi-Agent System

Orchestrate multiple agents using CrewAI or AutoGen.

PDF Knowledge RAG

Build a state-of-the-art RAG system with complex retrieval.

Tools You Will Master

OpenAI

LangChain

Python

Testimonials

What others say

“I can't emphasize enough how valuable this course is. Learning Python through this course completely shifted my professional focus.”

SVEN

SOFTWARE ENGINEER

“I would recommend the course to anyone who truly wants to understand and learn Python. The approach is unique and super practical.”

SABINE R.

DATA SCIENTIST

“Better than any university course. This course is much closer to the real workday of a software developer.”

LUCA

BACKEND DEVELOPER

Read all reviews