Mastering Generative AI: Agents with RAG and LangChain
This course is part of Generative AI Engineering.
This comprehensive course focuses on building job-ready skills in generative AI, specifically in retrieval-augmented generation (RAG) and LangChain. You'll explore RAG applications, prompt engineering techniques, and LangChain components while gaining hands-on experience through online labs. The course covers encoders, tokenizers, Facebook AI similarity search (FAISS) library, in-context learning, and LangChain tools for developing applications using LLMs. By the end, you'll complete a real-world project that demonstrates your ability to integrate LLM, LangChain, and RAG technologies—valuable skills that employers are actively seeking in today's competitive AI job market.
Instructors:
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What you'll learn
Learn in-demand job-ready skills for building AI agents with RAG and LangChain Apply fundamentals of in-context learning and advanced prompt engineering methods Master LangChain concepts, tools, components, chat models, chains, and agents Develop skills to integrate RAG, PyTorch, Hugging Face, LLMs, and LangChain with gen AI applications Create real-world projects using combined LLM, LangChain, and RAG technologies Design and refine prompts for generating accurate and relevant AI responses Work with encoders, tokenizers, and the Facebook AI similarity search (FAISS) library Build practical experience through hands-on labs and guided projects
Skills you'll gain
This course includes:
PreRecorded video
Graded assignments, Exams
Access on Mobile, Tablet, Desktop
Limited Access access
Shareable certificate
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Top companies offer this course to their employees
Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.
Fee Structure
Individual course purchase is not available - to enroll in this course with a certificate, you need to purchase the complete Professional Certificate Course. For enrollment and detailed fee structure, visit the following: Generative AI Engineering
Payment options
Financial Aid
Instructor
Pioneering Data Scientist Bridging AI Research and Education
Dr. Joseph Santarcangelo, a Data Scientist at IBM, brings a unique blend of academic excellence and practical expertise to the field of data science and artificial intelligence. With a Ph.D. in Electrical Engineering, his groundbreaking research focused on the intersection of machine learning, signal processing, and computer vision to understand how video content influences human cognitive processes. At IBM, he has established himself as a prominent educator and course developer, creating comprehensive learning materials that have reached hundreds of thousands of students worldwide. His teaching portfolio encompasses a wide range of technical subjects, from foundational Python programming to advanced topics in artificial intelligence, machine learning, and computer vision. Santarcangelo's ability to translate complex technical concepts into accessible learning experiences has made him an influential figure in data science education, maintaining consistently high ratings from learners while continuing to push the boundaries of applied machine learning and artificial intelligence research.
Testimonials
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Frequently asked questions
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