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Agentic AI using Python and LangGraph. This 8-week hands-on training is designed for students, developers, and professionals who want to build real-world AI applications and autonomous AI agents from scratch.

Unlike theoretical courses, this program emphasizes practical implementation, live coding sessions, debugging, and production-style project development. Participants will work on industry-relevant applications including RAG systems, AI assistants, multi-agent workflows, and autonomous research agents using modern tools like LangGraph and LangChain.

A major highlight of the training is personalized mentorship — trainers will actively help participants write, optimize, and debug code during sessions, ensuring every learner gains real development experience. The course also includes 4 portfolio-ready capstone projects aligned with current industry practices.

Upon successful completion, participants will receive an official SkillCone Certification, validating their practical expertise in Generative AI and Agentic AI development.

By the end of the program, learners will have the confidence and hands-on skills required to build, deploy, and showcase advanced AI systems in professional environments.

FAQ

. Is this course suitable for beginners?

Yes. This program is designed for both beginners and working professionals. Students will start with Python fundamentals, then gradually move into Generative AI, RAG systems, and advanced Agentic AI using LangGraph. The curriculum is structured step-by-step so learners can confidently transition into AI development even without prior AI experience.

Is this a practical hands-on training program?

Absolutely. This is a highly practical industry-oriented certification program where students will build real AI applications, APIs, autonomous AI agents, and production-style projects. Mentors actively code with students during sessions and help debug participant code in real time to improve learning confidence and implementation skills.

What technologies and tools will students learn?

Students will work with modern AI engineering tools including: Python Generative AI & LLMs RAG architectures LangChain LangGraph FastAPI Docker Vector databases APIs Knowledge Graph concepts Deployment workflows The course focuses beyond Jupyter notebooks and teaches real AI engineering practices used in industry.

Who will teach this program and will certification be provided?

The program is conducted by IIT Alumni with over 10 years of industry experience in AI and software engineering. The training focuses deeply on conceptual understanding and real-world implementation. Upon successful completion, participants will receive an official SkillCone Certification validating their practical expertise in Generative AI and Agentic AI development.

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