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IT & SoftwareAI Agents & Agentic AI
The AI Agent Engineer Course: Complete AI Аgent Bootcamp
★4.5
(728 students)11h 30m
>_ What You'll Learn
- The course provides the entire toolbox you need to become an AI Agent Engineer
- Understand key AI agent concepts and build a solid foundation
- Impress interviewers by showing an understanding of AI agents
- Apply your skills to real-life business cases
- Harness the power of AI agents
- Leverage LangChain for seamless development of AI-driven applications by chaining interoperable components
- Model AI agent workflows with LangGraph
- Evaluate AI agents with LangSmith
- Build single and multi-agent systems
>_ Requirements
- Prior experience with Python programming is required
- A basic understanding of AI is recommended
/ Course Details & Curriculum
The Problem
Agentic AI is the future of AI-powered organizations. It helps businesses innovate faster than ever before. Therefore, it’s not surprise that the demand for AI Agent Engineers has been surging in the job marketplace.
Supply, however, has been minimal, and acquiring the skills necessary to be hired as an AI Agent Engineer can be challenging.
So, how is this achievable?
Universities have been slow to develop specialized programs focused on practical AI agent engineering skills. The few attempts that exist are expensive and time-consuming. At the same time, most online courses offer high-level walkthroughs of individual techniques for building agentic systems, yet integrating these skills remains challenging.
The Solution
AI agent engineering is a multidisciplinary field covering:
- AI agent foundations
- AI agent design and architecture
- Python programming
- Working with low-code automation platforms like n8n
- AI agent optimization for speed and cost
- Connecting agents to tools, memory, and APIs with LangChain
- Model AI agent workflows with LangGraph
- AI agent evaluation with LangSmith
- Applying agents to real-world problems
- Launching and optimizing agents in production
Each topic builds on the previous one, and skipping steps can lead to confusion. For instance, optimizing agent performance without a fundamental understanding of agent architecture is rarely achievable.
So, we created the AI Agent Engineer Bootcamp 2026 to provide the most effective, time-efficient, and structured AI agent training available online.
This pioneering training program overcomes the most significant barrier to entering the AI agent field by consolidating all essential resources in one place.
Our course is designed to teach interconnected topics seamlessly—providing all you need to become an AI agent engineer at a significantly lower cost and time investment than traditional programs.
The Skills
1. Intro to AI Agents
Decision-making logic, actuators, updated environment, single agents, multi-agents, guardarails—there are familiar AI agent buzzwords; what exactly do they mean?
Why study AI agent basics?
Build a solid foundation that will support your learning journey. Understand the big picture and how different building blocks fit together.
2. AI Agent Architecture
We build AI agents to solve problems. Each problem requires the right architecture and an understanding of the trade-offs involved.
Why study AI agent architecture?
The system design choices you will make will determine how effective and efficient your AI agents are. By mastering classic AI agent architecture you will be able to make confident choices at the system design stage—before problems become costly to fix.
3. Building AI Applications with LangChain
LangChain is a framework that allows for seamless development of AI-driven applications by chaining interoperable components.
Why study LangChain?
Learn how to create agents that can reason. LangChain facilitates the creation of systems where individual pieces—such as language models, databases, and reasoning algorithms—can be interconnected to enhance overall agent functionality.
4. LangGraph
LangGraph sets the foundation of how we can build and scale AI workloads. Use this tool to design agents that reliably handle complex tasks.
Why study LangGraph?
With LangGraph you will be introduced to multi-step agent orchestration. This is where you learn how to add conversational memory to your agent, so it learns to remember, adapt, and grow smarter with every interaction.
5. AI Agents in Practice
Step into the world of AI agents with this practical module on agentic systems. You will gain real-world experience. From prompt design and multi-step reasoning to safety techniques and LangSmith monitoring.
Why study AI Agents in Practice?
Gain the practical skills to build production-ready AI workflows. Take the next step in your AI journey with hands-on projects.
What You Get
- $1,250 AI agent engineering training program
- Active Q&A support
- Essential skills for AI engineering employment
- AI learner community access
- Completion certificate
- Real-world business case solutions for job readiness
We're excited to help you become an AI Agent Engineer from scratch—offering an unconditional 30-day full money-back guarantee.
With excellent course content and no risk involved, we're confident you'll love it.
Why delay? Each day is a lost opportunity. Click the ‘Buy Now’ button and join our AI Agent Engineer program today.
Author and Instructor
3
365 Careers
Expert at Udemy
With years of hands-on experience in IT & Software, 365 Careers has dedicated thousands of hours to teaching and mentorship. This course is the culmination of industry best practices and a proven curriculum that has helped thousands of students transition into professional roles.
Community Feedback
★★★★★
M
Michael Chen
Verified Enrollment
"This The AI Agent Engineer Course: Complete AI Аgent Bootcamp course was exactly what I needed. The instructor explains complex IT & Software concepts clearly. Highly recommended!"
S
Sarah Johnson
Verified Enrollment
"I've taken many Udemy courses on modern JavaScript & front-end development, but this one stands out. The practical examples helped me land a job."
D
David Smith
Verified Enrollment
"Great value for money. The section on AI Agents & Agentic AI was particularly helpful."
E
Emily Davis
Verified Enrollment
"Excellent structure and pacing. I went from zero to hero in IT & Software thanks to this course. Lifetime access is a huge plus."
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