Generative AI Architecture and Application Development
Master Generative AI architecture, LLMs, and LangChain development. Learn RAG techniques for innovative AI solutions.
Master Generative AI architecture, LLMs, and LangChain development. Learn RAG techniques for innovative AI solutions.
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 Learn Generative AI 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 LLM architecture and training methodologies
Develop applications using LangChain framework
Implement Retrieval-Augmented Generation (RAG)
Evaluate LLM performance using industry metrics
Apply data privacy principles in AI applications
Build and deploy production-ready LLM solutions
Skills you'll gain
This course includes:
6.5 Hours PreRecorded video
20 assignments
Access on Mobile, Tablet, Desktop
FullTime access
Shareable certificate
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There are 7 modules in this course
This comprehensive course explores the architecture and application development of Generative AI, with a focus on Large Language Models (LLMs). Students learn about LLM pre-training, scaling, and fine-tuning techniques, followed by practical applications in search, prediction, and text generation. The curriculum covers LangChain framework implementation, Retrieval-Augmented Generation (RAG), and performance evaluation. Special attention is given to data privacy and protection considerations in AI applications. Through hands-on projects and assessments, participants develop skills in building and deploying LLM-powered applications while considering ethical implications.
Generative AI with LLMs
Module 1 · 1 Hours to complete
LLMs for Search, Prediction, and Generation
Module 2 · 2 Hours to complete
LangChain for LLM Application Development
Module 3 · 1 Hours to complete
Interacting with Data Using LangChain and RAG
Module 4 · 1 Hours to complete
Evaluating LLM Performance
Module 5 · 1 Hours to complete
Gen AI for Data Privacy and Protection
Module 6 · 2 Hours to complete
Course Wrap-up and Assessments
Module 7 · 33 Minutes to complete
Fee Structure
Instructor
Inspiring the Next Generation of Tech Professionals
Edureka is dedicated to providing high-quality, instructor-led online training, empowering professionals to enhance their skills in various domains. The platform features a diverse team of experienced instructors who are passionate about teaching and possess extensive industry knowledge. These instructors facilitate a wide range of courses covering topics such as data science, artificial intelligence, machine learning, and cloud computing. Edureka's commitment to education is reflected in its innovative approach to learning, which includes interactive sessions, real-world projects, and 24/7 support for students. By fostering a collaborative learning environment, Edureka ensures that learners not only acquire technical skills but also develop critical thinking and problem-solving abilities essential for success in today's fast-paced job market.
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Frequently asked questions
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