Best AI Courses in 2026: Compare Verified Reviews, Ratings & Skills - Page 22

Unlock the power of conversational artificial intelligence with this comprehensive guide to Microsoft Copilot Studio, led by industry expert Kuljot Singh Bakshi. This course is meticulously designed for IT professionals, system architects, and aspiring AI developers who want to master the creation of production-ready AI agents. Throughout the training, you will transition from foundational concepts to advanced deployment strategies, exploring how to build, test, and scale intelligent agents that solve real-world business challenges. The curriculum places a strong emphasis on Retrieval-Augmented Generation (RAG), teaching you how to seamlessly connect your agents with Microsoft 365, SharePoint, and diverse external data repositories. Security and compliance remain central to enterprise AI; therefore, this course covers robust security architectures using Microsoft Entra ID, strict Role-Based Access Control (RBAC), and Purview data governance. You will also dive into cutting-edge paradigms like Model Context Protocol (MCP) and agent-to-agent (A2A) workflows, enabling integration across Microsoft 365 and Azure AI Studio. With hands-on labs and practical scenarios, this course equips you with the end-to-end expertise required to design secure, highly capable, and fully integrated AI conversational systems for modern organizations.

• Online Course
• English

The Model Context Protocol (MCP) is rapidly becoming the gold standard for connecting Large Language Models (LLMs) to external data sources, files, and development tools. This comprehensive bootcamp, designed by KRISHAI Technologies, provides a structured pathway to mastering MCP from the ground up. Whether you are an AI developer, system architect, or software engineer, this course will empower you to move beyond basic chatbot APIs and build highly autonomous, context-aware multi-agent systems. You will dive deep into the architecture of MCP, understanding how it establishes secure, bi-directional communication channels between advanced models and real-world environments. Throughout the curriculum, you will build practical hands-on projects, integrating MCP with popular development frameworks such as LangChain, LangGraph, and CrewAI. By the end of this training, you will have the skills needed to design, develop, and deploy production-grade Agentic AI solutions and Retrieval-Augmented Generation (RAG) applications that can securely execute code, query databases, and interact with third-party APIs. Stay ahead of the curve in the rapidly evolving AI landscape by mastering this critical integration layer.

• Online Course
• English
• 6 programs

In this comprehensive masterclass, Paulo Dichone guides you through the cutting-edge landscape of autonomous AI agents. Moving beyond basic LLM prompts, this course focuses on the architecture of LangGraph to help you build complex, multi-step systems that can reason, plan, and execute tasks independently. You will dive deep into the mechanics of state management, persistent workflows, and cyclic graph structures—the essential building blocks for modern AI applications. Rather than just theory, the curriculum is rooted in practical engineering, showing you how to orchestrate LangChain components to create highly specialized tools, such as automated financial researchers and analytical report writers. By the end of this journey, you will have moved from understanding simple chatbot interactions to architecting sophisticated, agentic systems capable of autonomous problem-solving. This course is perfect for developers aiming to stay ahead of the curve as the AI industry shifts from static conversational models toward dynamic, action-oriented autonomous agents that can interact with the real world through API calls and data integration.

• Online Course
• English
• 8 programs

The Copilot & AI Agents for Data Science Bootcamp [2026] is a forward-thinking curriculum designed to bridge the gap between traditional data science workflows and the rapidly evolving world of Generative AI. As the industry shifts toward agentic workflows, this course empowers learners to stop performing repetitive coding tasks manually and instead start orchestrating AI agents to handle data wrangling, feature engineering, and complex model validation. You will dive deep into the integration of Microsoft Copilot and Python, moving beyond simple prompt engineering to build specialized agents that perform tasks like automated Z-score anomaly detection, data cleaning, and systematic visualization. The bootcamp offers a unique advantage by focusing on both the technical implementation of machine learning algorithms—such as Random Forests and Support Vector Machines—and the strategic deployment of AI assistants that interpret metrics like F1 scores and ROC-AUC. Whether you are aiming to streamline your EDA (Exploratory Data Analysis) process or looking to automate large-scale classification pipelines, this course provides a pragmatic, hands-on framework. It helps data professionals transition from 'code-first' to 'agent-first' development, ensuring you stay competitive in an era where AI-augmented analysis is becoming the standard for business intelligence and predictive modeling.

• Online Course
• English
• 12 programs

The 'Building AI Agents with smolagents' course, designed by Johannes Hayer, is a comprehensive developer-focused guide to mastering the creation of intelligent autonomous systems. As the artificial intelligence landscape transitions from static language models to dynamic, goal-oriented agents, understanding how to construct, deploy, and monitor these systems becomes crucial. This course dives deep into the lightweight and highly efficient smolagents library developed by Hugging Face, offering developers a streamlined path to building production-ready AI agents. Throughout the curriculum, you will explore the foundational theory of AI agents, distinguishing between standard LLM queries, structured workflows, and true agentic behaviors that utilize a "brain and body" design paradigm. Beyond theory, the course provides hands-on experience in building multi-agent systems capable of collaborating to solve complex tasks. You will learn to construct custom tools that empower agents to securely execute code, search the web, and parse complex datasets. Additionally, you'll gain practical experience deploying your agents with intuitive Gradio interfaces directly onto Hugging Face Spaces, while establishing robust observability pipelines using industry-standard tools like OpenTelemetry and LangFuse. Whether you are a software engineer, data scientist, or AI enthusiast, this course equips you with the exact technical skills needed to engineer resilient, self-correcting agentic architectures from scratch.

• Online Course
• English

The "Mastering AI Agents Bootcamp: Build Smart Chatbots & Tools" course, designed by the School of AI, offers a comprehensive, hands-on path for developers and tech enthusiasts looking to build autonomous digital assistants. This program stands out by focusing on local AI models, completely bypassing the need for expensive third-party APIs. Students dive deep into creating highly functional chatbots, automation bots, and smart workflows from scratch. Throughout the curriculum, learners explore the mechanics of integrating local vector databases like FAISS, enabling intelligent agents to securely store, retrieve, and process knowledge locally. Beyond simple chat interfaces, the course guides you through designing web-based UIs using Streamlit, implementing voice interfaces with text-to-speech and speech-to-text features, and equipping bots with long-term memory systems. Whether you are looking to build localized document readers that safely parse proprietary PDFs, create personalized offline finance trackers, or master advanced prompt engineering, this practical bootcamp provides the exact blueprint. It is the ultimate resource for anyone wanting to build private, secure, and cost-effective AI tools that run entirely on their own hardware.

• Online Course
• English
• 18 programs

In the rapidly evolving landscape of generative AI, the ability to build sophisticated voice agents has transitioned from a niche skill to a mission-critical competency for developers and automation experts. This comprehensive course provides a deep dive into the modern AI voice stack, moving beyond simple chatbot interfaces to create fully interactive, real-time auditory experiences. Participants gain hands-on experience by leveraging powerful industry-standard tools like Vapi, ElevenLabs, and n8n to architect conversational agents that can handle everything from complex customer support to automated appointment scheduling. The curriculum uniquely bridges the gap between technical implementation and business application, covering crucial topics such as RAG (Retrieval-Augmented Generation) for intelligent context-aware responses and MCP (Model Context Protocol) integration for seamless system interoperability. By masterfully connecting LLMs with external APIs, databases, and telephony services, students learn to deploy production-grade solutions that are both cost-effective and legally compliant under frameworks like GDPR. Whether you are a solo entrepreneur looking to build a high-value SaaS product, or a developer aiming to add voice-automation capabilities to existing enterprise workflows, this course offers the technical rigor and strategic insights necessary to stay at the forefront of the Voice AI revolution.

• Online Course
• English
• 23 programs

Designed for software engineers, data scientists, and AI practitioners, this comprehensive course on LLM AI Agent Evaluations and Observability with Galileo AI bridges the gap between prototyping and building production-grade AI systems. Instructed by Henry Habib, the curriculum dives deep into the complexities of monitoring, evaluating, and debugging multi-step AI agents. As AI agents move from simple single-call applications to complex, autonomous systems that leverage tool-use, planning, and external retrieval, the risk of silent failures, regressions, and drift increases significantly. This course equips you with the practical skills needed to design robust LLM observability plans, instrument agent workflows, and structure detailed traces. You will learn how to leverage Galileo AI to construct highly realistic evaluation datasets, build custom metrics for groundedness and safety, and implement LLM-as-a-judge patterns to systematically minimize evaluator bias. By mastering production monitoring, error tracing, and continuous integration of evaluation workflows, you will ensure your AI agents remain safe, reliable, and highly performant in real-world environments.

• Online Course
• English
• 8 programs

The 'Develop AI Agents with Google ADK | MCP | A2A' Masterclass provides a comprehensive, hands-on deep dive into the evolving ecosystem of agentic AI. As enterprises shift from simple chatbots to autonomous systems, understanding the Google Agent Development Kit (ADK) has become a critical skill for cloud architects and AI engineers. This course bridges the gap between theoretical AI concepts and practical implementation, covering complex architectures like multi-agent systems, sequential workflows, and loop-based agent autonomy. Learners are guided through the integration of cutting-edge frameworks, including MCP (Model Context Protocol) and Agent-to-Agent (A2A) communication patterns, ensuring you can build scalable, context-aware applications. By exploring practical tool-use scenarios—such as integrating CrewAI and Langchain libraries with Vertex AI or Gemini—you gain the technical versatility needed to handle session memory, complex database toolboxing, and professional deployment pipelines. Whether you are aiming to deploy agents via Google Cloud Run, GKE, or the native Vertex AI Agent Engine, this masterclass equips you with the architecture patterns necessary to build robust, future-proof AI-driven workflows in a production-ready cloud environment.

• Online Course
• English

In an era where autonomous systems are defining the next wave of technological innovation, "Build Smart AI Agents 10x Faster: Basic to Agentic AI 2026" serves as a definitive blueprint for mastering agentic architectures. Created by MetaTact AI Experts, this course is meticulously designed for developers, software engineers, and AI hobbyists who want to transcend simple prompt engineering and build fully autonomous systems. You will dive deep into industry-standard frameworks, primarily LangChain and LangGraph, utilizing entirely free and local tools like Ollama and Llama 3. This localized approach guarantees complete data privacy and eliminates API subscription anxieties. Through practical, hands-on projects, learners will explore advanced design patterns, including the Reasoning and Acting (ReAct) framework, self-correcting logic, and multi-step cognitive workflows. By integrating ChromaDB, you will learn to implement robust persistent memory systems and retrieval-augmented generation (RAG) pipelines. Finally, the course guides you through wrapping these complex, state-aware agents in interactive Streamlit user interfaces, transforming your theoretical knowledge into highly deployable, production-ready portfolio projects.

• Online Course
• English

The emergence of LLM-powered autonomous agents is transforming how we interact with structured data. Database AI Agents: Complete Guide acts as a definitive bridge for developers wanting to construct smart, natural-language interfaces for databases. Created by experienced software engineer Paulo Dichone, this course demystifies the integration of LangChain, OpenAI, and Python to create robust AI agents that can seamlessly query SQL databases and parse CSV datasets. Learners will dive deep into the mechanics of LangChain agents, discovering how to safely delegate data retrieval tasks through advanced function calling. Beyond backend logic, the curriculum guides students in translating these complex agentic frameworks into fully realized, interactive web applications using Streamlit. This hands-on journey is perfect for software engineers, data analysts, and AI enthusiasts eager to build secure, conversational database query tools. By mastering these cutting-edge techniques, you will be prepared to implement next-generation AI workflows that minimize manual SQL writing and deliver immediate, actionable data insights to end users.

• Online Course
• English
• 8 programs

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