GenAI & Agentic AI Claude Career Track Pro
Product information
This advanced career-focused program is designed to transform learners into industry-ready Generative AI professionals by combining strong fundamentals with real-world application. The course covers Python, Machine Learning, Deep Learning, and NLP, followed by in-depth training in Generative AI, Claude AI, Prompt Engineering, RAG (Retrieval-Augmented Generation), and Agentic AI systems. Students will gain hands-on experience in building production-grade AI solutions, including multi-LLM applications, autonomous agents, and full-stack AI deployments using modern tools like LangChain, LangGraph, and Azure. The program also includes domain specialization, a live internship on real-world projects, and a capstone project to build a complete AI solution. By the end of the program, learners will have a strong portfolio, practical experience, and industry-recognized certifications, making them fully prepared for AI and Machine Learning roles.
GenAI Claude Career Track Pro Batch is an advanced, career-focused program designed to help learners build strong practical expertise in Generative AI, Agentic AI, and real-world AI system development.
The program begins with core foundations including Python, Data Science, Machine Learning, NLP, and Deep Learning. It then progresses into advanced topics such as Claude AI, Prompt Engineering, Retrieval-Augmented Generation (RAG), LangChain, Agentic AI, Multi-Agent Systems, and cloud deployment using Azure.
Learners will work on multiple hands-on projects throughout the program, building AI-powered applications and solving real-world problems. A key highlight of the course is the live internship, where students work on actual project scenarios with mentor guidance, gaining industry-level experience.
The program also includes domain specialization, allowing learners to apply AI solutions in areas like healthcare, finance, HR, and analytics. The final capstone project ensures that students graduate with a complete, production-ready AI application and a strong portfolio.
By the end of the program, learners will be job-ready with practical skills, project experience, internship exposure, and certification support, preparing them for roles in Generative AI, Data Science, and Machine Learning.