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The Ai Agent Engineer Course: Complete Ai Аgent Bootcamp
Published 12/2025
Created by 365 Careers
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All | Genre: eLearning | Language: English | Duration: 217 Lectures ( 11h 45m ) | Size: 11.5 GB [/center]
Complete AI Agent Engineer Training: AI Agent Architecture, n8n, LangChain, RAG, LangGraph, LangSmith, ReAct, ReWOO
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
Description
The ProblemAgentic 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 SolutionAI agent engineering is a multidisciplinary field covering:AI agent foundationsAI agent design and architecturePython programmingWorking with low-code automation platforms like n8nAI agent optimization for speed and costConnecting agents to tools, memory, and APIs with LangChainModel AI agent workflows with LangGraphAI agent evaluation with LangSmithApplying agents to real-world problemsLaunching and optimizing agents in productionEach 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 Skills1. Intro to AI AgentsDecision-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 ArchitectureWe 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 LangChainLangChain 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. LangGraphLangGraph 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 PracticeStep 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 programActive Q&A supportEssential skills for AI engineering employmentAI learner community accessCompletion certificateReal-world business case solutions for job readinessWe'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.
Who this course is for
You should take this course if you want to become an AI Agent Engineer or if you want to learn about the field
This course is for you if you want a great career
The course is also ideal for beginners, as it starts from the fundamentals and gradually builds up your skills
The Ai Agent Engineer Course: Complete Ai Аgent Bootcamp
Published 12/2025
Created by 365 Careers
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All | Genre: eLearning | Language: English | Duration: 217 Lectures ( 11h 45m ) | Size: 11.5 GB [/center]
Complete AI Agent Engineer Training: AI Agent Architecture, n8n, LangChain, RAG, LangGraph, LangSmith, ReAct, ReWOO
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
Description
The ProblemAgentic 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 SolutionAI agent engineering is a multidisciplinary field covering:AI agent foundationsAI agent design and architecturePython programmingWorking with low-code automation platforms like n8nAI agent optimization for speed and costConnecting agents to tools, memory, and APIs with LangChainModel AI agent workflows with LangGraphAI agent evaluation with LangSmithApplying agents to real-world problemsLaunching and optimizing agents in productionEach 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 Skills1. Intro to AI AgentsDecision-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 ArchitectureWe 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 LangChainLangChain 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. LangGraphLangGraph 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 PracticeStep 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 programActive Q&A supportEssential skills for AI engineering employmentAI learner community accessCompletion certificateReal-world business case solutions for job readinessWe'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.
Who this course is for
You should take this course if you want to become an AI Agent Engineer or if you want to learn about the field
This course is for you if you want a great career
The course is also ideal for beginners, as it starts from the fundamentals and gradually builds up your skills
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