Fundamentals of AI Agents Using RAG and LangChain
This course is part of multiple programs. Learn more.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Generative AI Engineering with LLMs Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
Instructors:
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What you'll learn
Master RAG implementation for enhanced AI applications
Develop proficiency in prompt engineering and in-context learning
Build AI agents using LangChain framework and tools
Implement vector databases for efficient information retrieval
Create interactive document retrieval systems
Develop chatbots with advanced response capabilities
Skills you'll gain
This course includes:
0.87 Hours PreRecorded video
4 assignments
Access on Mobile, Tablet, Desktop
FullTime access
Shareable certificate
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There are 2 modules in this course
This comprehensive course teaches the fundamentals of building AI agents using Retrieval Augmented Generation (RAG) and LangChain frameworks. Students learn essential skills in implementing RAG processes, working with encoders and the FAISS library, and mastering advanced prompt engineering techniques. The curriculum covers LangChain tools, components, and chat models, with hands-on experience in developing applications using integrated LLM technologies.
RAG Framework
Module 1 · 2 Hours to complete
Prompt Engineering and LangChain
Module 2 · 4 Hours to complete
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 with LLMs, IBM AI Engineering Professional Certificate
Instructors
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.
Innovator in AI and Data Science Education
Wojciech 'Victor' Fulmyk is an accomplished instructor at IBM, specializing in artificial intelligence and data science education. He teaches several online courses on Coursera, including Generative AI Advance Fine-Tuning for LLMs and Deep Learning with Keras and TensorFlow, where he imparts his extensive knowledge of machine learning and neural networks to a global audience. With a strong academic background as a Ph.D. candidate in Economics at the University of Calgary, Victor combines theoretical insights with practical applications in his teaching. His expertise is further demonstrated through his competitive success on platforms like Kaggle, where he has achieved top rankings in challenging data science competitions. Victor's commitment to advancing the field of AI education is evident in his innovative course offerings that prepare learners for the rapidly evolving tech landscape, making him a valuable asset to both IBM and the broader educational community.
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