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Learn from industry experts to build agentic systems using LangChain, CrewAI, LangGraph, and more. You will:
| May 22 nd |
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The Agentic AI course enables learners to build autonomous AI agents using LLMs like GPT without coding. This course by Edureka offers hands-on projects and tools like LangChain, CrewAI, and AutoGen. It covers essential concepts of agentic AI, agentic AI design patterns and architecture, agentic RAG, building AI agents with different frameworks, AI observability and monitoring, and using no/low code tools for building agents.
Key Features:
Basic Python, ML, DL, NLP, generative AI, and prompt engineering knowledge is needed. Refresher materials are provided before live sessions.
Upon completing the Agentic AI course, participants will learn:
The course is ideal for:
Edureka offers Agentic AI Course at a very affordable cost of ₹24,999 with EMI options starting at ₹8,333 per month and offers discounts, with both weekday and weekend batches available.
The Agentic AI Certification Course by Edureka takes approximately 5 weeks to complete. Classes are held on weekends (Saturdays and Sundays). Includes live instructor-led sessions for interactive learning. Offers a bonus self-paced module on Generative and Agentic AI on Cloud with 12 topics. The self-paced module lets learners explore advanced concepts at their own convenience.As AI grows more independent, understanding its ethical and safety implications becomes crucial, making expertise in this field highly valuable for the future.
Learning Agentic AI is essential for:
Enables smart, adaptive autonomous systems
Advances in robotics and automation
Creates AI career opportunities
Raises awareness of AI ethics and safety
Prepares for the future of AI technology
As an agentic AI Engineer, you'll be responsible for
Design AI agents that perceive, decide, and act to meet goals
Use reinforcement learning, NLP, and planning techniques
Build autonomous agents that adapt to change
The key features of agentic AI are:
No, ChatGPT, Gemini, Claude, and Deepseek are not fully agentic AI on their own. They are large language models (LLMs) designed for generative AI tasks like text generation, summarization, and answering questions.
However, when integrated with agentic AI frameworks like LangChain, AutoGen, or CrewAI, these models can exhibit agent-like behavior by performing autonomous tasks, using tools, and making goal-driven decisions.
The agentic AI course enhances career advancement by
Enhance career advancement with specialized skills
Boosts professional credibility
Opens doors to high-demand AI roles
Expands career prospects in AI
Keeps professionals updated with AI advancements
Certification is a key asset for standing out in a competitive field
Supports long-term career growth
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