Best AI Agents Courses 2026: Compare Top Programs via Verified Student Reviews - Page 2

The paradigm of software development is undergoing a massive shift with the rise of "vibe coding" and agentic engineering. This course, led by Arnold Oberleiter, offers an in-depth exploration into building fully functional applications using modern AI tools like Claude Code, Cursor, and Codex. Students will transition from writing every line of code manually to orchestrating advanced autonomous systems and Model Context Protocol (MCP) servers. Throughout the curriculum, learners dive deep into terminal-based development with Claude Code, mastering custom slash commands, secure authentication via Supabase, and automated payments with Stripe. The course goes far beyond basic prompts, teaching practical architecture combining React frontends with n8n backend automation. You will learn how to configure multi-agent frameworks, leverage local LLMs via Ollama, and implement strict security practices to handle risky autonomous operations. Whether you are a complete beginner eager to deploy your first website with Lovable and Replit, or an experienced engineer wanting to master context engineering and the Anthropic Agents SDK, this program equips you with the modern stack needed to turn conceptual designs into production-ready software at unprecedented speeds.

• Online Course
• English
• 23 programs

Agentic Workflows: Design End-to-End AI Processes is a transformative course designed to bridge the gap between simple generative AI usage and sophisticated, autonomous business automation. While many professionals are comfortable writing individual prompts, they often struggle to chain those interactions into reliable, repeatable processes. This curriculum shifts the focus from standalone queries to comprehensive 'agentic' architectures where AI agents act as intelligent contributors within a defined system. Participants will master the art of decomposition, learning how to break down sprawling business operations into modular, manageable sub-tasks. The course covers critical control patterns like Plan-Execute-Verify and Audit-Self-Review, which are essential for minimizing hallucinations and ensuring high-quality outputs. By prioritizing conceptual design and workflow logic over complex programming, this course empowers managers, operations analysts, and non-technical stakeholders to architect robust AI systems. Whether you are aiming to streamline customer support, automate complex reporting, or manage internal cross-departmental operations, this course provides the strategic framework necessary to build agentic ecosystems that are safe, scalable, and highly impactful in a real-world corporate environment.

• Online Course
• English
• 6 programs

In this comprehensive program led by Arnold Oberleiter, learners dive deep into the world of AI Agents and Retrieval-Augmented Generation (RAG) using modern frameworks. The course bridges the gap between theoretical AI models and practical, real-world deployment. You will master cutting-edge automation tools like n8n and Flowise, alongside robust development frameworks such as LangChain and LangGraph. The syllabus systematically covers how to connect LLMs like ChatGPT, Claude, Gemini, and DeepSeek to various data sources, including PDFs, web scrapers, and databases. Additionally, you will explore local AI setups with Ollama and AnythingLLM, and implement the newly prominent Model Context Protocol (MCP) for seamless tool integration. This course is ideal for developers, automation specialists, and tech-savvy professionals aiming to build custom GPTs, intelligent chatbots, and multi-agent systems that solve complex business tasks. By addressing security, GDPR compliance, and legal frameworks, the curriculum ensures that your deployed AI solutions are both highly effective and enterprise-ready. Through hands-on projects, you will learn to connect APIs, configure vector databases like Pinecone, and optimize chunking and embedding strategies to prevent hallucinations and improve accuracy. Whether you want to build localized chatbots or scale automated workflows, this guide provides the foundational and advanced techniques required to succeed in the rapidly evolving AI landscape.

• Online Course
• English
• 23 programs

The Claude AI Masterclass is a comprehensive deep dive into the Anthropic ecosystem, bridging the gap between casual prompting and professional-grade AI engineering. This course goes far beyond basic chatbot interactions, providing a rigorous technical framework for leveraging the Claude API, Claude Code, and the Model Context Protocol (MCP). Students gain practical mastery over advanced techniques such as prompt chaining, structured output generation using Pydantic, and managing the complexities of context windows. A standout feature of this program is the focus on Claude Code and Claude Cowork, which transforms how developers interact with their environments by integrating AI directly into Git workflows, CI/CD pipelines, and terminal-based development. Whether you are a software engineer looking to speed up debugging and refactoring or a business professional aiming to automate document intelligence and cross-platform workflows, this curriculum offers the architectural knowledge required to build robust, scalable AI systems. By focusing on production-ready patterns, it empowers learners to move past experimental scripts into deploying reliable, type-safe AI-powered tools that actually deliver consistent business value in real-world professional environments.

• Online Course
• English
• 2 programs

Aspiring automation specialists, operations managers, and digital marketers are finding immense value in this comprehensive guide to mastering Make (formerly Integromat). Created by marketing automation and HubSpot expert Thalita Milan, this course bridges the gap between basic task automation and advanced AI agent deployment without requiring a background in software development. Learners dive deep into Make’s foundational data structures, mastering complex concepts like bundles, arrays, collections, and JSON parsing to build robust, error-free workflows. The curriculum guides students from setting up simple trigger-and-action scenarios to designing sophisticated control flows using advanced conditional logic. What sets this course apart is its practical approach to integrating artificial intelligence. Students learn to connect powerful LLMs like OpenAI directly into their Make scenarios, creating autonomous AI agents capable of lead qualification, market research, and automated content generation. Whether you are looking to optimize your business operations, offer high-ticket freelance automation services, or streamline marketing pipelines, this course provides the practical, real-world blueprints needed to transition from a complete beginner to a confident AI automation architect.

• Online Course
• English
• 7 programs

The AI Agents for Beginners: Use AI Agents at Work (No Code) course, created by Nicolle Merrill, is a comprehensive primer designed specifically for non-technical professionals eager to leverage the power of artificial intelligence in their daily operations. As artificial intelligence shifts from passive conversational assistants to autonomous agents capable of executing complex workflows, understanding how to manage these digital teammates is becoming a vital career skill. This beginner-friendly program demystifies the mechanics of human-agent collaboration, explaining how multi-agent systems function in plain, everyday language. Students will learn to distinguish between traditional AI assistants and advanced AI agents, identifying specific workplace workflows that can be streamlined or automated entirely without writing a single line of code. Beyond practical implementation, the course addresses critical management skills, guiding learners on how to evaluate, select, and troubleshoot AI agents while remaining highly aware of current technical limitations and operational risks. By focusing on practical, real-world applications and emerging non-programmer AI roles, this training equips business leaders, project managers, and individual contributors with the confidence to discuss, adopt, and oversee AI agents effectively, ensuring they stay ahead in a rapidly evolving, AI-driven job market.

• Online Course
• English
• 2 programs

Aspiring developers and AI engineers frequently seek practical paths to move beyond simple API wrappers and build truly autonomous systems. This comprehensive course, 'Build Autonomous AI Agents From Scratch With Python' by Hasan Aboul Hasan, bridges that gap by providing a hands-on, step-by-step framework. Learners will dive deep into the core mechanics of AI agents, mastering the pivotal ReAct (Reason and Act) prompting methodology that enables LLMs to think and act iteratively. Throughout the curriculum, students transition from foundational concepts to building functional agents from the ground up using Python. The course demystifies agent architecture, teaching how to streamline development using the SimplerLLM library. To ensure practical competency, students build a fully operational SEO Auditor AI Agent, demonstrating how these autonomous systems can solve complex, real-world analytical tasks. This course is ideal for intermediate Python programmers, software developers, and tech entrepreneurs who want to understand the inner workings of AI orchestration without relying solely on heavy, black-box frameworks. By mastering these skills, learners gain the confidence to design, customize, and deploy bespoke AI agents that can automate business processes, analyze data, and integrate seamlessly into existing software ecosystems.

• Online Course
• English

Copilot Studio: Build Real-World Agents-Beginner to Pro is a comprehensive, hands-on masterclass designed to take you from a complete beginner to an advanced creator of intelligent AI agents. Led by Kshitij Joy of Cloud Alchemy, this course bridges the gap between theoretical artificial intelligence and practical, low-code deployment. Throughout this 6.5-hour journey, you will explore Microsoft's Copilot Studio ecosystem, mastering how to build, configure, and publish sophisticated agents without writing complex code. The curriculum emphasizes practical application with eight real-world projects, including a Study Scheduler, a Document Insights Agent, and an Invoice Scanner. You will dive deep into foundational concepts such as manual configuration modes, system versus custom topics, knowledge sources, and node types. Furthermore, the course teaches you how to integrate advanced backend tools like Azure SQL DB, Dataverse, and REST APIs, alongside Retrieval-Augmented Generation (RAG) and Power Automate Flows. Whether you are an IT professional, business analyst, or aspiring AI engineer, this course equips you with the in-demand skills needed to automate complex business workflows and deploy multi-agent systems across various enterprise channels.

• Online Course
• English
• 3 programs

This comprehensive, hands-on masterclass is tailor-made for aspiring developers, entrepreneurs, and tech enthusiasts who want to bridge the gap between artificial intelligence theory and practical, commercial application. Guided by Emenwa Global, learners will dive straight into the mechanics of building powerful, customizable AI agents utilizing Python and the robust OpenAI API. The course demystifies the process of creating both text-generation and image-generation applications from scratch, focusing on real-world usability rather than just theoretical concepts. Students will explore prompt engineering techniques to direct model behavior, construct elegant graphical user interfaces (GUIs) using Python, and implement essential features like conversational history tracking and image editing functionalities. What sets this course apart is its strong focus on modular, scalable architecture, which ensures that the applications you build are ready for enterprise deployment or commercial packaging. Beyond the technical setup, the curriculum offers invaluable strategic insights into packaging, marketing, and selling your custom AI tools as standalone software products (SaaS) or digital assets. Whether you want to automate complex business workflows or launch your own AI startup, this course provides the technical blueprint and entrepreneurial roadmap to succeed in the rapidly evolving AI economy.

• Online Course
• English
• 16 programs

This comprehensive course, led by industry expert Arnold Oberleiter, offers a deep dive into the world of autonomous AI agents, equipping learners with the skills to build, deploy, and commercialize cutting-edge automation solutions. Throughout the curriculum, students explore the mechanics of top-tier frameworks and tools such as LangChain, LangGraph, Flowise, CrewAI, and AutoGen. The course bridges the gap between technical execution and business strategy, guiding developers and entrepreneurs through the creation of Retrieval-Augmented Generation (RAG) pipelines, advanced function calling, and seamless API integrations using Node.js, Python, and JavaScript. Beyond coding, the training covers critical business strategies, including how to price, package, and market AI solutions to prospective clients. Whether you are looking to automate internal business processes, connect local open-source LLMs like Llama 3 via Ollama, or launch a specialized AI agency, this program delivers the practical knowledge needed to succeed. From data preparation with LlamaIndex to deploying production-ready web applications, this course is an essential roadmap for anyone aiming to capitalize on the next wave of artificial intelligence.

• Online Course
• English
• 23 programs

AI Agent Engineering: Build Production Ready Agentic Systems takes you beyond basic chatbot development into the sophisticated realm of autonomous AI architecture. Unlike introductory courses that focus solely on simple prompt engineering, this program centers on the structural integrity and reliability of agentic workflows. Participants will deep-dive into the technical stack required to move from experimental prototypes to robust, production-grade applications. By leveraging industry-standard frameworks like LangChain and LangGraph, you will master the complexities of agent memory, tool-based reasoning, and multi-agent collaboration. The curriculum covers the critical infrastructure required for modern AI, including the integration of Model Context Protocol (MCP) and building performant APIs using FastAPI. A significant portion of the course is dedicated to the 'operational' side of AI, focusing on observability through tools like Langfuse, implementing security guardrails, and managing agent-to-agent (A2A) communication protocols. This comprehensive approach ensures you gain the skills needed to design, deploy, and monitor scalable systems that perform reliably in real-world environments. Whether you are an AI engineer looking to standardize your deployment workflow or a developer transitioning into agentic system design, this course provides the rigorous methodology needed to build intelligent systems that work autonomously and safely.

• Online Course
• English

The rapid evolution of artificial intelligence has moved beyond simple chatbots to autonomous AI agents capable of planning, tool integration, and collaborative execution. AI Agents for Leaders, designed by Prof. Dr. Ana-Maria Olteteanu, provides a comprehensive, non-technical blueprint for business leaders, managers, and decision-makers looking to deploy these technologies strategically. Throughout this course, participants will learn to distinguish between traditional rule-based robotic process automation (RPA) and modern, intelligent agentic architectures. The curriculum breaks down the core components of agent systems, including memory, planning, autonomy, and interactivity. Leaders will gain critical insights into comparing leading open-source frameworks like LangGraph, AutoGen, and CrewAI, helping them determine which architecture best suits their specific organizational needs. Additionally, the course addresses real-world applications across key sectors such as healthcare, enterprise productivity, and education. By focusing on multi-agent workflows, tool integration, and crucial safety and ethical considerations, this program empowers leaders to design, evaluate, and direct agentic implementations without needing a background in coding, positioning their organizations at the forefront of the cognitive automation revolution.

• Online Course
• English
• 2 programs

In the rapidly evolving landscape of artificial intelligence, the transition from simple chatbots to autonomous agents marks the next frontier of productivity. This comprehensive course on OpenAI Agents Builder, led by Krystian Wojtarowicz, provides a hands-on roadmap for those looking to harness the power of AI without getting bogged down in complex coding requirements. By focusing on the AgentKit framework and no-code methodologies, students learn how to design, deploy, and manage sophisticated agents that go beyond mere text generation. The curriculum emphasizes functional execution, teaching learners how to integrate external APIs, manage agent memory, and orchestrate complex, multi-step workflows. Whether you are a business professional looking to streamline internal operations or a freelancer aiming to offer high-value automation services to clients, this course demystifies the logic behind planning, tool calling, and autonomous execution. By the end of this journey, you will possess the foundational knowledge to build AI-driven systems that can perform real-world tasks, effectively replacing manual, repetitive workflows with intelligent automation that operates reliably and predictably in a production environment.

• Online Course
• English
• 3 programs

The AI Agents Bootcamp for 2025 offers a comprehensive, hands-on deep dive into the rapidly evolving landscape of autonomous AI systems. This course moves beyond simple chatbot building, focusing instead on the architectural complexities of multi-agent orchestration and production-ready deployments. By leveraging industry-standard frameworks such as LangChain, LangGraph, CrewAI, and AutoGen, students learn how to bridge the gap between static LLM interactions and dynamic, task-oriented agents that can reason, plan, and execute workflows across external tools. A major highlight of the curriculum is the mastery of Retrieval-Augmented Generation (RAG) pipelines, which are essential for grounding AI outputs in proprietary, real-time data. Furthermore, the course emphasizes framework-agnostic learning, teaching students how to swap models like DeepSeek-R1 or Ollama to suit specific hardware or budgetary requirements. Whether you are aiming to automate repetitive SaaS business processes or build next-generation autonomous software, this bootcamp provides the technical foundation needed to design, test, and deploy resilient multi-agent systems in modern production environments.

• Online Course
• English

The Complete AI Agents & AI Automation Course (2025) - n8n offers an in-depth, beginner-friendly exploration of modern automated workflows using the powerful n8n platform. Under the guidance of Brendan AI, learners dive into the rapidly growing field of no-code AI automation, discovering how to connect various applications, design autonomous AI agents, and build robust systems that handle repetitive tasks without human intervention. This comprehensive training is perfect for entrepreneurs, business owners, freelancers, and tech enthusiasts who want to leverage artificial intelligence to boost productivity or offer cutting-edge automation services to clients. Throughout the curriculum, students move from foundational concepts to advanced multi-step workflows, learning how to integrate LLMs, databases, and APIs seamlessly. By focusing on practical, real-world business scenarios, the course empowers participants to build custom AI agents that can analyze data, manage communications, and execute complex operations automatically. Whether you want to streamline your own business processes or launch an AI automation agency, this course provides the step-by-step guidance needed to master n8n and lead the future of work.

• Online Course
• English
• 2 programs

The "Build Your First AI Agent: End-to-End" course by the School of AI is a comprehensive, highly practical blueprint designed for developers, engineers, and AI enthusiasts who want to transition from basic prompt engineering to building fully autonomous, production-grade intelligent systems. Instead of just theoretical concepts, this course guides learners through a complete, hands-on journey of architecting an agent from scratch. Students will dive deep into creating autonomous reasoning loops, implementing stateful multi-turn memory, and enabling real-world actions through tool usage and API integrations. The curriculum carefully addresses critical production challenges, teaching how to ground models with Retrieval-Augmented Generation (RAG), establish robust guardrails for safety, and implement monitoring to track performance. By deploying the final agent using FastAPI and building a sleek web-based user interface, learners gain the exact skills needed to deliver functional AI solutions in modern enterprise environments. Whether you are a software engineer expanding your toolkit or an AI practitioner looking to deploy reliable agents, this course offers invaluable, step-by-step guidance to master the next generation of software development.

• Online Course
• English
• 18 programs

The Local AI Masterclass is a comprehensive roadmap designed for developers, system administrators, and AI enthusiasts who want to harness the power of artificial intelligence directly on their local hardware. Led by Arnold Oberleiter, this course demystifies the process of setting up, optimizing, and deploying state-of-the-art Large Language Models (LLMs), diffusion tools, and autonomous AI agents without relying on costly or privacy-compromising cloud APIs. Students will dive deep into the mechanics of local deployment, learning how to leverage tools like Ollama, LM Studio, and Pinokio to run cutting-edge models such as DeepSeek, Gemma, and Mistral. The curriculum extensively covers hardware optimization, explaining how GPU VRAM, system RAM, and quantization formats like GGUF impact execution speed and model fidelity. Beyond text generation, the course explores local computer vision, OCR, and advanced image/video generation using ComfyUI, Stable Diffusion, and Flux. A major highlight of this masterclass is its focus on agentic workflows and local RAG. Learners will master complex automation platforms like n8n and Flowise, connect vector databases using Supabase and Postgres, and orchestrate secure, enterprise-grade AI infrastructures using Docker. By the end of this course, participants will be fully equipped to design, build, and deploy robust, sovereign AI solutions tailored for personal or enterprise use cases.

• Online Course
• English
• 23 programs

The Complete AI Automation and Agentic AI Bootcamp with n8n is a comprehensive masterclass designed to bridge the gap between basic automation and sophisticated, autonomous AI systems. Unlike standard automation tutorials that merely focus on linear data transfers, this bootcamp delves deep into the architecture of Agentic AI. Learners are taken on a journey from foundational n8n workflow construction to the complex integration of Large Language Models (LLMs) that can reason, reflect, and execute multi-step business logic. The curriculum is meticulously structured to ensure participants gain hands-on experience in connecting disparate APIs, managing vector databases, and orchestrating intelligent agents that can handle unstructured data. By emphasizing real-world project-based learning, the course provides the necessary skills to build autonomous agents capable of research, content generation, and sophisticated task prioritization. It is an essential resource for developers, technical founders, and automation enthusiasts who want to leverage the power of n8n to eliminate repetitive manual processes and transition into building high-value, AI-driven infrastructure that operates autonomously in the background.

• Online Course
• English
• 6 programs

Agent Skills from Scratch is a practical, developer-focused guide designed to demystify how AI agents interact with the external world and execute sophisticated, multi-step workflows. Led by expert instructor Eden Marco, this course bridges the gap between static prompt engineering and fully autonomous agents capable of executing real-world API tasks. Students will dive deep into the mechanics of building, packaging, and deploying portable skill modules that can be integrated into modern agentic frameworks. The curriculum walks you through the fundamentals of custom tool calling, context engineering, and injecting specialized domain expertise into your systems. You will learn how to equip your digital agents with practical capabilities like querying databases, leveraging Claude Code effectively, and making intelligent routing decisions based on dynamic user input. Designed for software engineers, AI developers, and tech innovators, this hands-on course ensures you walk away with the practical confidence to write robust, agentic code and build scalable AI systems.

• Online Course
• English
• 5 programs

Microsoft Copilot Studio represents the next frontier in low-code AI agent development, and this comprehensive course by Learning Technologies serves as the ultimate blueprint to mastering it. Designed for both tech enthusiasts and enterprise professionals, this course demystifies the process of building, deploying, and managing sophisticated AI copilots without needing deep software development expertise. Students will gain practical, hands-on experience integrating their agents with the broader Microsoft ecosystem, including Microsoft Dataverse, Power Platform connectors, and diverse external APIs. Beyond basic creation, the curriculum dives deep into production-grade necessities such as security, debugging, governance, and robust testing frameworks. Additionally, the course prepares learners for real-world career advancement by offering insights into interview preparation and alignment with the AB-620 Designing and Building Integrated AI Solutions exam. Whether you are looking to automate organizational workflows or build a modern portfolio in AI agent technology, this training provides the structured guidance needed to build secure, scalable, and intelligent conversational agents that drive real business value.

• Online Course
• English

The AI Mastery Bootcamp 2026: Complete Guide with 1000 Projects offered by the School of AI is an exhaustive, practical training program designed for developers, data scientists, and tech professionals aiming to dominate the modern artificial intelligence landscape. This comprehensive masterclass bridges the gap between theoretical machine learning concepts and production-ready applications. Participants start by solidifying their foundation in Python, progressing through data preprocessing and statistical analysis, before diving into advanced machine learning algorithms, deep learning architectures (including CNNs and RNNs), and transfer learning. What truly sets this bootcamp apart is its focus on cutting-edge technologies like autonomous AI Agents, Model Context Protocol (MCP), and Google A2A, all demonstrated through a massive portfolio of 1000 real-world projects. Students will not only build models but also learn how to deploy them at scale using APIs, containerize environments with Docker, and manage the complete ML lifecycle with robust monitoring and drift detection pipelines. This course is ideal for career switchers and experienced software engineers seeking hands-on, end-to-end expertise in deploying robust AI systems.

• Online Course
• English
• 18 programs

Discover the future of autonomous systems with this comprehensive, developer-focused course on the Google Agent Development Kit (ADK), taught by industry expert Janakiram MSV. This curriculum provides a deep dive into building and deploying production-grade AI agents from scratch. Software engineers, AI practitioners, and cloud architects will learn how to navigate the core architecture of ADK, exploring essential components like the Runner, Session management, shared state, and the event loop. Throughout this practical, code-first journey, you will connect intelligent agents to state-of-the-art language models including Google Gemini, OpenAI GPT, and local models via Ollama and LiteLLM. The course places a heavy emphasis on tool integration, guiding you through the implementation of standard OpenAPI schemas, Model Context Protocol (MCP) tools, and third-party ecosystems like LangChain and CrewAI. Security and reliability are addressed through advanced modules on guardrails, callbacks, and persistent memory. Finally, you will learn to containerize and deploy your intelligent agents to Google Cloud Run and Vertex AI Agent Engine for secure, managed, and highly scalable production hosting.

• Online Course
• English

This comprehensive AB-100 exam preparation course is designed to guide aspiring solutions architects through the intricate process of designing, building, and deploying enterprise-ready Agentic AI systems. Led by renowned instructor Phillip Burton, the curriculum focuses heavily on utilizing Microsoft Copilot Studio to craft state-of-the-art autonomous agents and collaborative multi-agent architectures. Throughout the lessons, learners will explore how to align business requirements with agent capabilities, ensuring seamless integration into existing corporate workflows. The course unpacks critical exam domains, including planning AI-powered business solutions, designing agent extensibility with custom connectors, and securing agent interactions to meet strict compliance standards. Beyond theoretical exam topics, students gain practical experience in structuring agentic workflows that solve real-world productivity challenges. Whether you are an IT professional aiming to validate your AI engineering skills, a business analyst looking to implement automation, or a solutions architect preparing for the AB-100 certification, this course provides the deep technical knowledge and strategic insights needed to succeed in the rapidly evolving landscape of generative AI and autonomous business agents.

• Online Course
• English

In the rapidly evolving landscape of generative AI, the shift from simple prompt-response interactions to complex, multi-agent systems is the next frontier for developers. This course provides a comprehensive exploration of Microsoft AutoGen, the premier framework for building orchestrations of autonomous agents. Students will move beyond static LLM implementations and learn how to construct collaborative teams of agents that can perform iterative reasoning, execute code, and solve multifaceted problems through communication. The curriculum dives deep into the architecture of AutoGen, explaining how to define agent roles, set up conversation patterns, and manage memory across agent hierarchies. By focusing on practical, hands-on implementation, learners will bridge the gap between theoretical AI models and production-ready automation. Whether you are aiming to build sophisticated research assistants, automated software development pipelines, or complex data analysis tools, this course equips you with the technical architectural knowledge to create agentic workflows that are both reliable and scalable in a modern enterprise environment.

• Online Course
• English
• 6 programs

This comprehensive course on building production-ready AI agents on AWS provides developers and cloud engineers with the practical skills needed to design, deploy, and scale advanced autonomous systems. Created by Rahul Trisal, this hands-on curriculum guides learners through the core concepts of agentic AI, including planning, tool integration, persistent memory, and multi-agent collaboration. By utilizing cutting-edge tools like Amazon Bedrock, CrewAI, and the Model Context Protocol (MCP), students will build four distinct real-world projects. These include a robust Hotel Booking Agent integrated with AWS Lambda, an Enterprise Travel Agent using multi-agent orchestration, a Vacation Planner powered by CrewAI, and an innovative Infrastructure Coding Agent utilizing the AWS CloudFormation MCP Server. This program is ideal for software engineers, AI developers, and cloud architects who want to transition from basic prompt engineering to orchestrating complex, multi-agent architectures in enterprise AWS environments. Whether you are looking to master Bedrock Knowledge Bases or integrate Python, Boto3, and Amazon Q CLI into your AI workflows, this course delivers the specialized expertise required to succeed in modern generative AI development.

• Online Course
• English
• 4 programs

Led by seasoned software engineer Paulo Dichone, the AI Engineer Bootcamp 2026 offers an intensive, hands-on path to mastering modern artificial intelligence development. Designed for developers eager to transition into the rapidly growing field of AI engineering, this comprehensive curriculum bridges the gap between conceptual machine learning and production-ready software systems. Students will dive deep into building advanced Retrieval-Augmented Generation (RAG) pipelines, enabling applications to search and process complex PDF documents and multimodal data. Throughout the course, learners gain practical experience with essential tools like LangChain, working with embedding techniques, vector databases, and sophisticated retrievers. Beyond simple APIs, the curriculum covers the deployment of autonomous AI agents capable of executing multi-step workflows. Aspiring engineers will also learn the nuances of fine-tuning large language models using OpenAI and LoRA techniques to align outputs with specific business needs. By the end of this practical bootcamp, students will have built a portfolio of real-world AI applications, equipping them with the highly sought-after skills needed to design, optimize, and deploy scalable AI solutions in today's competitive tech landscape.

• Online Course
• English
• 8 programs

In this comprehensive course on LangGraph, students dive deep into the architecture of stateful, multi-actor applications built on top of LLMs. Moving beyond simple chains, this program provides a robust foundation in building circular, graph-based agents that maintain memory and handle complex task sequencing. You will explore the intricacies of LangGraph’s cyclic nature, which is essential for developing agents that can reason, reflect, and perform multi-step operations without getting stuck in infinite loops. The curriculum guides you through implementing state management, checkpointing, and human-in-the-loop workflows, ensuring your agents are reliable and enterprise-ready. Furthermore, the course demystifies the rapidly evolving LangGraph ecosystem, covering the LangGraph Studio for visual debugging, deployment via LangGraph Cloud, and interacting with the managed service APIs. By bridging the gap between theoretical agent design and practical implementation, this course ensures developers understand how to build resilient, production-grade autonomous systems that can handle real-world complexity effectively, providing a significant edge in the fast-moving field of generative AI development.

• Online Course
• English
• 5 programs

This comprehensive 2026 Bootcamp, led by industry expert Julio Colomer, serves as an ultimate guide for aspiring developers, tech entrepreneurs, and software engineers looking to master the rapidly evolving landscape of Generative AI, Large Language Model (LLM) applications, and advanced AI Agents. Students gain hands-on experience building cutting-edge multi-agent systems and multimodal apps using next-generation tools like Cursor AI, Claude Code, LangChain, CrewAI, and LangGraph. The curriculum deeply explores Retrieval-Augmented Generation (RAG) techniques, vector databases like Pinecone and Chroma, and essential LLMOps practices for monitoring and evaluation via LangSmith. Designed to bridge the gap between beginner-friendly concepts and production-grade engineering, this course empowers learners to deploy robust, full-stack AI solutions using Next.js and FastAPI to cloud platforms like Vercel and Render. Whether you want to transition your career into AI engineering, optimize your existing business workflows with automated agents, or develop AI applications without extensive traditional coding backgrounds, this masterclass provides the strategic insights and technical foundations necessary to succeed in the modern AI-driven economy.

• Online Course
• English
• 3 programs

This comprehensive training program offers an immersive, hands-on journey into the rapidly evolving landscape of Generative AI, Retrieval-Augmented Generation (RAG), and autonomous AI Agents using Python and the latest OpenAI APIs. Designed specifically for software developers, data scientists, and AI engineers, this curriculum bridges the gap between theoretical machine learning concepts and production-grade applications. Throughout the course, participants will master the foundational mechanics of building highly accurate RAG systems, ensuring that large language models can access and leverage external knowledge bases effectively. Beyond basic retrieval, the course dives deep into cutting-edge paradigms including Agentic RAG, multi-agent orchestration with frameworks like CrewAI and OpenAI Swarm, and complex workflow state management using LangGraph. Students will build practical, real-world portfolio projects, including a fully functional digital waiter agentic system and a multimodal pipeline that processes text, audio, and visual data using OpenAI's Whisper and CLIP models. By the end of this journey, learners will possess the practical skills to fine-tune models, orchestrate collaborative AI teams, and deploy scalable solutions that solve real business challenges.

• Online Course
• English
• 3 programs

In this comprehensive course, learners transition from traditional DevOps practices into the cutting-edge realm of Agentic AI. The curriculum focuses on empowering Claude Code to act as an autonomous engineer capable of managing AWS infrastructure with precision. Instead of relying on static scripts, you will master the art of teaching Claude your specific architecture, coding conventions, and organizational commands through structured context management. The course dives deep into creating custom skills, implementing Model Context Protocol (MCP) servers for live AWS connectivity, and establishing robust guardrails that ensure secure interaction with cloud environments. You will explore advanced concepts like persistence, enabling AI to learn from previous sessions, and the integration of specialized sub-agents designed for cost optimization, security auditing, and Terraform drift detection. By the end of the program, you will bridge the gap between AI-driven intelligence and traditional CI/CD pipelines by utilizing GitHub Actions with OIDC for secure, keyless deployments. This is an essential deep dive for modern cloud engineers looking to offload repetitive DevOps toil to sophisticated autonomous agents, effectively turning their IDE into a fully-automated, context-aware command center.

• Online Course
• English
• 2 programs

Unlock the power of autonomous AI Agent Systems in this comprehensive course led by Varad V. Designed for professionals and enthusiasts alike, this course bridges the gap between theoretical artificial intelligence concepts and real-world implementation. You will explore how to construct, deploy, and manage intelligent agents using industry-standard platforms like Amazon Bedrock, ChatGPT, and various leading Large Language Models (LLMs). Starting with the fundamental terminology and architectural patterns, the curriculum guides you through building functional AI agents with minimal coding requirements. Beyond simple creation, you will delve into crucial production considerations, including system safeguards, ethical guardrails, and observability to ensure your agents operate reliably and safely. Additionally, the course highlights key business use cases, helping you identify high-value opportunities within your organization and master the best practices for driving successful AI initiatives. Whether you are an aspiring developer, a product manager, or a business strategist, this course provides the actionable insights and hands-on practice needed to navigate the rapidly evolving landscape of agentic AI workflows.

• Online Course
• English
• 2 programs

The transition from passive language model prompting to active, autonomous agentic systems represents the next major frontier in artificial intelligence. This comprehensive bootcamp, designed by Metla Sudha Sekhar, provides a perfect entry point for beginners looking to master Agentic AI and deploy functional business agents. Throughout the course, learners explore the foundational architecture of autonomous agents—specifically how they think, plan, and execute tasks independently. By leveraging Python, LangChain, and advanced Large Language Models (LLMs), students gain practical, hands-on experience building real-world automation tools. Key highlights of the curriculum include setting up Retrieval-Augmented Generation (RAG) to connect proprietary business data, utilizing Ollama for secure, offline local LLM integration, and deploying final interactive applications with Streamlit. Whether you aim to build intelligent customer support systems, automated resume screeners, or specialized research assistants, this course equips you with the programming skills and architectural knowledge needed to succeed. Perfect for software developers, tech-savvy entrepreneurs, and freelancers, this practical guide ensures you can confidently build, monitor, and scale AI-driven workflows for modern enterprises.

• Online Course
• English
• 12 programs

Unlock the transformative potential of modern automation with Krystian Wojtarowicz's comprehensive masterclass, 'All of Automations: n8n, Zapier, Make, Agents Builder'. Tailored for forward-thinking professionals, operations managers, and tech enthusiasts, this course bridges the gap between tedious manual tasks and sophisticated, AI-driven digital workflows. You will dive deep into the unique strengths of each platform: leveraging n8n for highly customizable, developer-friendly automation, harnessing Make for elegant visual workflows, utilizing Zapier for quick and reliable software integrations, and employing Agents Builder to design intelligent agents. Beyond basic integrations, you will learn how to inject artificial intelligence directly into your pipelines, enabling autonomous decision-making and data analysis. This practical, project-based curriculum guides you step-by-step through designing, testing, and scaling real-world systems. Whether you are aiming to streamline your own business operations, boost personal productivity, or launch a highly profitable agency building automations for global clients, this course equips you with the strategic insight and technical prowess needed to dominate the automation landscape.

• Online Course
• English
• 3 programs