Learn RAG for Data-Driven AI Systems

Are you looking to improve the accuracy and relevance of your large language model outputs? This specialized course by DeepLearning.AI teaches you how to connect LLMs to external, domain-specific data sources using Retrieval Augmented Generation (RAG). Gain the practical skills needed to design, evaluate, and scale reliable AI systems that solve real-world industry challenges.

What Will You Learn?

• Design and build RAG systems tailored to real-world business needs.

• Implement retrieval methods like semantic search, BM25, and Reciprocal Rank Fusion.

• Scale systems using Weaviate and chunking techniques with a vector database.

• Develop a domain-specific chatbot that answers FAQs using custom datasets.

• Weigh tradeoffs between cost, speed, and quality for production-ready components.

Course Details:

• Duration: 3 weeks (approximately 10 hours a week)

• Level: Intermediate

• Language: English

• Certificate: Paid Certificate available (Financial Aid applicable)

• Course Type: Online

Course Features:

• Provides hands-on programming assignments using real production tools.

• Taught by top instructor Zain Hasan from DeepLearning.AI.

• Guides you from building simple AI prototypes to deploying production-ready components.

Target Audience:

• Software developers looking to enhance their artificial intelligence workflows.

• Data scientists aiming to build robust large language model applications.

• AI practitioners requiring intermediate skills in Python and generative models.

Why Choose This Course?

• Focuses entirely on the critical and highly demanded skill of Retrieval Augmented Generation.

• Uses practical datasets from domains like media, healthcare, and e-commerce.

• Equips you with a foundational framework to adapt as new AI tools and methods emerge.

How to Register:

• Access the official Coursera course page using the provided link.

• Click the "Enroll for Free" button to start your registration.

• Log into your existing Coursera account or create a new profile.

• Choose to audit the course materials for free or purchase the certificate experience.

FAQ:

Question: What background knowledge is necessary for this course?
Answer: Learners should have intermediate Python skills. Basic knowledge of generative AI and high school-level math is also helpful.
Question: Can I complete the course at my own pace?
Answer: Yes, the schedule is entirely flexible, allowing you to learn at your own pace over three weeks.

Take your AI skills to the next level and enroll in this Retrieval Augmented Generation course today!