6 Weeks
·Cohort-based Course
Learn how to make a modern Search experience with us in this 6-weekend instructor-led course+live practice for senior engineers.
6 Weeks
·Cohort-based Course
Learn how to make a modern Search experience with us in this 6-weekend instructor-led course+live practice for senior engineers.
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Course overview
🔥 Live Code Walkthroughs: Engage with code examples and implementations by coding along in real-time
🚀 Expert-led Sessions: Learn from industry veterans with over 2-decades of experience, providing practical knowhow and tricks
📚 Comprehensive Course Content: Gain a deep working knowledge of GenerativeAI technologies and their applications
🏃♀️ Intensive Week-long Case Study Sprint: Dive into practical projects like building your own LM, Customer Support Bot, and more
👨🏫 Guest Lectures: Exlusive lectures by the authors of Llama Index and Ragas
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Senior Data Scientists, ML Engineers, CTOs, or Technical Leaders looking to improve an existing RAG system MVP
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Aiming to scale your RAG system for better accuracy and faster response times
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Ready to build nuanced, effective RAG systems across web, document and image retrieval
Tailoring and Optimizing Search Solutions 🎯
Advanced Techniques and AI Management 🚀
Building Expertise and Community 🌐
21 interactive live sessions
Lifetime access to course materials
22 in-depth lessons
Direct access to instructor
1 projects to apply learning
Guided feedback & reflection
Private community of peers
Course certificate upon completion
Maven Satisfaction Guarantee
This course is backed by Maven’s guarantee. You can receive a full refund within 14 days after the course ends, provided you meet the completion criteria in our refund policy.
Search in the LLM Era for AI Engineers
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Dr. Pratik Desai
Ravi Theja
Nirant Kasliwal is a notable AI Engineer with over 7 years of expertise in areas like chatbots, language models, and vector databases. He founded FastEmbed, an embedding library praised for its speed and utilized by companies including NVIDIA.
Recognized by AI luminaries such as Dr. Andrew Ng, Nirant is one of India's leading GenAI scientists. He has significantly contributed to AI education through projects like "Awesome NLP," a resource for engineers learning NLP, and continues to enhance AI accessibility and knowledge sharing.
Jithin James (jjmachan) is the founder of Exploding Gradients and creator of ragas, an open-source tool for evaluating RAG pipelines. He builds tools to help devs building with LLMs, especially those building with RAG pipelines.
His work on ragas has significantly advanced the field of RAG evaluation, providing developers with crucial tools to enhance LLM-based applications. His contributions to open-source projects like BentoML have streamlined ML model deployment processes across the industry.
ragas is used by OpenAI for RAG evals.
Dhruv Anand is the Founder and CEO of AI Northstar Tech, an innovation startup leveraging LLMs, vector embeddings, and databases to enhance Search and Recommendation systems, and build custom RAG applications.
An alumnus of Computer Science departments at Carnegie Mellon and IIT Kanpur, he has worked on ML models for Search products at both Google and Facebook.
As a consultant, Dhruv delivers optimized AI solutions to enterprises, specializing in Search algorithms and LLM fine-tuning. His expertise lies in architecting scalable AI systems that bridge academic research with industry demands.
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4-6 hours per week
Saturday & Sunday
9:00pm - 10:30pm PST
Hands-on sessions exploring each phase of the framework and guiding you through implementing enhancements in your RAG application.
Guest Lectures
Coming soon
We'll confirm the guest lecture schedule closer to the course date. We are onboarding e-commerce search and re-ranking veterans.
Capstone Project
2 hours per week
Project-specific, custom-built datasets spanning various industries -- ensuring you develop the targeted expertise required for your unique challenges. You can work on them async.
How To Pitch An AI Project
When you pitch an internal project to your manager, you’re effectively selling the problem (and why it needs to be solved), the project (why it’s the ideal solution) and yourself as an AI engineer (why you are the right person to solve it).
Here's a step-by-step guide to effectively pitching a project to your manager.
Download free cheatsheet
Active hands-on learning
This course is designed to help you achieve enterprise-readiness in RAG with deep-dives and code walkthroughs.
Interactive and project-based
You’ll get hands-on experience creating next-generation AI solutions, from fine-tuned prompts to multi-modal systems, alongside other AI enthusiasts and data scientists.
Learn with a cohort of peers
Join a community of like-minded people who want to learn and grow alongside you
Be the first to know about upcoming cohorts