Agentic AI Training Course - Master AI Agents

Agentic AI refers to artificial intelligence systems that can autonomously make decisions, take actions, and pursue goals with minimal human intervention. Unlike traditional AI, which adheres to predetermined rules, agentic AI may dynamically adapt to new situations. It is widely utilized in robotics, virtual assistants, self-driving cars, and sophisticated decision-making processes.

Learning Agentic AI is essential for building autonomous systems that make intelligent decisions, adapt to changes, and optimize tasks with minimal human input. It drives advancements in robotics, automation, and AI-powered assistants, opening career opportunities in AI research and development. As AI grows more independent, understanding its ethical and safety implications becomes crucial, making expertise in this field highly valuable for the future.

You will have access to recorded sessions that you can review at your convenience.

You can reach out to Edureka’s support team for any queries, and you’ll have access to the community forums for ongoing help.

In order to complete this course successfully, participants need to have a basic understanding of Python programming language, machine learning, deep learning, natural language processing, generative AI, and prompt engineering concepts. However, learners will be provided with self-learning refresher material on generative AI and prompt before beginning with this live classes of the AI agents course.

Upon completing the agentic AI Training course, participants will learn to design and build autonomous AI agents using frameworks like LangChain, LangGraph, and CrewAI. They will implement agentic RAG for intelligent retrieval, develop multi-agent systems, and integrate Autogen for adaptive AI workflows. The course covers AI observability with LangFuse, no-code AI development, and cloud deployment on AWS, Azure, and GCP. Hands-on projects ensure practical expertise in building scalable, real-world AI solutions.

As an agentic AI Engineer, you'll be responsible for designing and developing intelligent agents that can perceive their environment, make decisions, and take actions to achieve specific goals. This involves applying techniques like reinforcement learning, NLP, and planning to create AI agents that can operate autonomously and adapt to changing situations.

Once you sign up, you will get immediate access to the course materials and resources.

The Agentic AI online Training Course is ideal for AI enthusiasts, developers, and professionals looking to build autonomous AI agents. It is best suited for LLM Engineer, Generative AI Engineer, AI Research scientists, AI/ML practitioners, and freshers who want to leverage Agentic AI for automation and decision-making.

Yes, you will have lifetime access to the course material and resources, including updates.

Yes, becoming an AI Agent Engineer is a very promising career path due to the rapidly growing field of agentic AI, which is viewed as a significant technological advancement with enormous potential across industries, making it a high-demand area for skilled professionals with the ability to build and deploy autonomous AI systems.

A step-by-step guide for setting up environments and building AI agents will be provided in the Learning Management System (LMS). Edureka's Support Team will be available 24/7 to assist you in case you have any questions or face any technical issues during the practicals.

To prepare for the AI agents certification, proficiency in Python is essential, along with tools like RAG, Vector Databases (Pinecone, Weaviate), Embedding Models, and API Integrations.

To learn agentic AI as a beginner, start by building a foundation in AI concepts like Python programming, machine learning and reinforcement learning, deep learning, NLP, generative AI, and prompt engineering. Gradually explore key agentic AI principles, including autonomy, goal-oriented behavior, and tool use. Hands-on experience with frameworks like LangChain, LangGraph, and OpenAI Gym will enhance learning. Completing real-world projects will help develop practical skills in building intelligent AI agents.

The system requirements for this Agentic AI Training Course include:

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Edureka has been offering top-trending AI courses like PG program on Gen AI and ML, Prompt Engineering , and Gen AI Masters Program. You can check out our AI Course Page.