Agentic AI Courses
Agentic AI courses show how AI systems plan steps, use tools, and finish tasks beyond simple responses. Learn what makes an AI “agent,” how it picks the next action,
...Top 3 Agentic AI Courses for 2026
Ranked highest among 100+ programs based on learner ratings
Key Skills You Will Build
The core capabilities you’ll practice across Agentic AI programs
Agentic Frameworks
Copilots
Ethics and Transparency
GTM for Agentic AI
Intelligent Automation
LLM Function Calling
MCP
MultiAgent Systems
Planning Systems
Prompt Engineering
RAG
UIUX Agentic AI
Workflow Automation
Agentic AI Overview
Core Concepts
Across these agentic AI courses online, you’ll gain a deep understanding of how agents plan, decide, and act. You'll gain practical skills and the knowledge to master autonomous decision-making, agent architecture, multi-agent coordination, and planning and reasoning loops, plus modern patterns like RAG and tool protocols such as MCP.
Hands-On Tools
You’ll get hands-on experience with a modern agentic AI toolchain, so you can build, orchestrate, and deploy real-world AI agents from end to end.
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Agent frameworks: LangChain, LangGraph, AutoGen, and CrewAI
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Automation & integrations: n8n and Zapier
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Build & experimentation: Jupyter, Google Colab, and Hugging Face
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Agent tooling & utilities: AutoGPT, SERP API, Ollama, Lovable, and LangSmith
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Cloud & app enablement: Firebase
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Core AI/ML stack: Python programming, TensorFlow, Keras, deep learning frameworks, NumPy, pandas, scikit-learn, OpenCV, and Gradio
Know more about Agentic AI Courses
Agentic AI is a new class of AI systems that can plan, decide, and take action to achieve a goal - often by using tools (APIs, search, apps), remembering context, and working through multi-step tasks rather than just generating responses. In the real world, agentic AI:
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Tools That Boost Your Skills
Get hands-on with the platforms and tools covered across our Agentic AI programs
Recommended Learning Materials for Upskilling
Explore free webinars, tutorials, career guides, and practical reads to go deeper
Upcoming Webinars - Free Masterclasses
Articles and Ebooks That You Can Access For Free
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Meet Your Mentors
Amitendra Srivastava
Chief Data Scientist at Intelytica,
Amitendra’s expertise lies in utilizing data analysis and machine learning techniques to solve complex business problems and drive strategic decisions. As Chief Data Scientist, he leverages the power of data to create value and drive innovation.
Armando Galeana
Founder and CEO at Ubhuru Technologies,
A seasoned data science leader, with extensive experience in digital transformation. Throughout his career, Armando has leveraged his vast expertise in AI & ML to build infrastructure, create new lines of business and drive global implementations.
Madhusudhanan Baskaran
IITM Pravartak - Principal Faculty,
Dr. Baskaran, with 31 years of experience in AI/ML and a Ph.D. in AI, is a Principal Faculty at IITM Pravartak, has expertise spanning Deep Learning, NLP, IoT, and Generative AI, and noted contributions in multimodal AI systems, drone data analytics, and AI-driven healthcare solutions.
Max Goff
GenAI Consultant,
Max is a seasoned data scientist and big data engineer with 30+ years of experience in ML, big data, and computer programming. Known for his expertise in GenAI, NLP, and process improvement, Max has consistently driven innovation and growth across organizations.
Raghav Goel
Generative AI & Data Science Consultant,
A passionate and successful corporate trainer who has delivered 150+ training sessions for corporates in India, Middle East, USA, and South East Asia for corporate clients like Publicis Sapient, KPMG, Capgemini, Coforge, ITC, DXC, Huawei, and IBM.
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Vijay Rajandram, PhD
Founder, Data That Matters LLC,
Vijay Rajandram, PhD is a highly accomplished and strategic leader with extensive experience in transforming business models, driving business development, delivering digital transformations, and embedding data in business decisions.
Still Curious? Answers to Common Agentic AI Questions
Agentic AI is artificial intelligence that can understand natural language instructions, plan tasks, select actions, and use tools to achieve goals. Traditional AI primarily predicts or generates outputs from inputs (e.g., classification or chat) without taking subsequent steps. Agentic systems run loops: plan → act → observe → refine—to complete workflows.
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*All salary figures referenced are based on data reported by employees on Glassdoor. These figures are estimates and may vary depending on location, experience level, company policies, and market conditions. Actual compensation may differ.