Nirant Kasliwal

Cohort 2

Cohort 1

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.

How To Pitch An AI Project

Engineers and engineering leaders who build, deploy, and scale software systems.

Applying AI tools and techniques to professional workflows — assign alongside more specific AI topics.

Building retrieval-augmented generation and search systems — vector databases, embeddings, ranking, and retrieval pipelines.

Learn how to make a modern Search experience with us in this 6-weekend instructor-led course+live practice for senior engineers. 

Jithin James

Dhruv Anand

Search in the LLM Era for AI Engineers

AI Engineer

🔥 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

What's included:

Course syllabus

Hands-on sessions exploring each phase of the framework and guiding you through implementing enhancements in your RAG application.

Saturday & Sunday

We'll confirm the guest lecture schedule closer to the course date. We are onboarding e-commerce search and re-ranking veterans.

Guest Lectures

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.

Capstone Project

Course schedule

Senior Data Scientists, ML Engineers, CTOs, or Technical Leaders looking to improve an existing RAG system MVP

Aiming to scale your RAG system for better accuracy and faster response times

Ready to build nuanced, effective RAG systems across web, document and image retrieval

This course is for you if you are:

What you’ll get out of this course

<ul><li>Expertise in customizing search backends to address industry-specific query requirements</li><li>Ability to recognize and analyze query satisfaction disparities across user groups, enabling targeted improvements</li></ul>

Tailoring and Optimizing Search Solutions 🎯

<ul><li>Proficiency in implementing advanced techniques such as rerankers and ColBERT to enhance search quality while optimizing system performance</li><li>Strategies for effectively managing AI-related challenges, including hallucinations and ambiguous outputs (Y)</li></ul>

Advanced Techniques and AI Management 🚀

<ul><li>Access to a network of professionals actively deploying production-ready search applications</li><li>Skills to construct and utilize an experimentation framework for identifying and validating enhancements</li></ul>

Learn directly from Nirant Kasliwal

Nirant Kasliwal

Courses

Search in the LLM Era for AI Engineers

Resources

How To Pitch An AI Project