6 Weeks
·Cohort-based Course
Learn to design & build generative AI solutions that solve real-world challenges with a focus on impact, not trends.
6 Weeks
·Cohort-based Course
Learn to design & build generative AI solutions that solve real-world challenges with a focus on impact, not trends.
Worked/Taught at
Course overview
AI is revolutionizing the way we approach technology. In the coming years, most software systems will be supercharged with some form of AI. This shift will create a growing demand for individuals who can go beyond surface-level knowledge and apply AI effectively to solve real business problems while addressing practical constraints.
In this course, you’ll learn practical concepts such as prompt engineering, RAG, agents, and fine-tuning—but always with a focus on solving real-world problems. Rather than just covering the "what," we’ll dive into the "when" and "how," equipping you to make informed decisions tailored to business needs and constraints.
⛳ What Makes This Course Unique
Solving Real Business Challenges, Not Just Concepts
While most courses stop at teaching tools and frameworks, this course goes further by focusing on solving real-world business problems. You’ll tackle practical constraints like cost, scalability, latency, and performance, learning to design AI solutions tailored to real use cases that deliver value.
Hands-On Product Development
You’ll build a real-world product from scratch (low code options available). Our tutorials will guide you through creating your own Perplexity (AI-powered search system), giving you practical experience with techniques like RAG & agents.
Collaborative Team Workshop
Experience what it’s like to solve a business problem in a real-world setting. In a collaborative workshop, you’ll work with others to design and develop AI solutions, simulating how teams take AI projects from 0 to 1.
Capstone Project
Learn how to connect cutting-edge research with real-world applications. For the capstone, you’ll use our curated list of the latest research papers to design and implement solutions for practical business use cases,
❌ Who This Course Is Not For
Those Seeking Heavy Theoretical Knowledge: This course emphasizes applied learning and practical problem-solving, not deep dives into theoretical topics like transformer architecture, pre/post-training optimization, inference techniques, or alignment.
Those Who Have Never Coded Before: While we provide low-code options, this course assumes you have some coding experience. It’s not suitable for those who have never written or worked with even basic code.
Individuals Expecting Deep AI Research Focus: While we’ll cover cutting-edge techniques, this course is centered on applying AI to business problems, not research-heavy exploration.
Scaling and Ops Enthusiasts: This course does not focus heavily on scaling or operational aspects (i.e., LLMOps). Deployment will be covered at a high level, but not in-depth.
01
Software/AI Engineers, Strategists, Data Professionals, Solution Architects and Consultants who want to master AI system design
02
Business Leaders and Product Managers seeking to gain the technical understanding needed to make informed decisions & lead AI initiatives
03
Entrepreneurs looking to understand common generative AI use cases and learn how to develop and implement AI-powered solutions
Master Applied Generative AI Concepts
Learn applied generative AI techniques like prompt engineering, RAG, agents, and fine-tuning, with a focus on applying them effectively to real-world business scenarios. Understand how to navigate constraints like cost, latency, and performance constraints in AI systems.
Apply Concepts to Build an AI-Powered Search System
While learning applied AI concepts, we’ll put them into action by building a Perplexity-like AI-powered search system through detailed, hands-on tutorials that demonstrate their practical application (Low code options will be provided)
Tackle Business Use-Cases with AI
Participate in brainstorming sessions and team huddles to approach hypothetical business problems. Learn to identify the right AI solutions for specific use cases, leveraging low-code options where applicable.
Understanding Challenges and Effective Evaluation
Gain a deep understanding of key challenges in building AI systems, including handling hallucinations, adversarial attacks, security, privacy issues etc., and learn best practices to evaluate AI solutions comprehensively
Final Capstone Project
You’ll design and demo a solution for a hypothetical business problem, integrating insights from relevant research papers in my curated list, hand-picked for enterprise relevance. This project will also involve addressing challenges and evaluation methods.
10 interactive live sessions
Lifetime access to course materials
45 in-depth lessons
Direct access to instructor
Projects to apply learnings
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.
Building Generative AI Applications with a Problem-First Approach
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Tech Lead @ AWS | Lecturer | Advisor | Researcher | Speaker | Investor
Aishwarya Naresh Reganti is an Applied Science Tech Lead at the AWS Generative AI Innovation Center (GenAIIC), where she leads initiatives to develop and deploy production-ready generative AI solutions for AWS clients. With over 9 years of experience in machine learning, she has published more than 35 research papers at top-tier AI conferences, including NeurIPS, AAAI, and CVPR.
Aishwarya has taught professional courses on generative AI at renowned institutions like MIT and Oxford. She has also designed free courses that have reached over 8,000 students globally and have formed the foundation for several academic programs and industry training curricula.
Recognized as one of the most prominent voices in enterprise AI, with over 80,000 professionals following her on LinkedIn, she is a sought-after thought leader frequently invited to speak at leading conferences and events, including TEDx, MLOps World, and ReWork.
Aishwarya actively collaborates with leading research professors and provides strategic advisory to organizations, enabling them to harness AI effectively to address complex business challenges.
Founding Engineer @ Kumo.ai | Ex-Google
With over a decade of experience designing high-impact and transformative enterprise AI systems, Kiriti Badam is a seasoned expert in AI-centric infrastructure, specializing in large-scale compute, data engineering, and storage systems. At Kumo.ai, a Forbes AI 50 startup, he leads the development of infrastructure capable of training hundreds of models daily, driving significant ARR growth for enterprises.
Kiriti brings a unique blend of startup agility and large-scale enterprise expertise, having worked across companies of varying sizes, including Kumo.ai, Google, Samsung, and Databricks. At Google Ads, he developed globally distributed key-value stores that powered advertising systems generating XX billion dollars in annual revenue.
Kiriti holds a Master’s degree from Carnegie Mellon University and a Bachelor’s degree from IIT Madras, where his research focused on cutting-edge storage systems and distributed databases for AI workloads. A trusted advisor and mentor, he guides startups and organizations in building impactful AI infrastructure, achieving product-market fit, and crafting robust product development strategies.
Join an upcoming cohort
Cohort 1
$950
Dates
Payment Deadline
5-8 hours per week
Fridays and Saturdays (Mostly)
Fridays: 4–5 PM PT
Saturdays: 9–10:30 AM PT
You can also attend optional guest sessions and team workshops scheduled outside of lecture hours.
Weekly projects
2 hours per week
Our Curated Generative AI Free-Resource Bundle
Access our curated collection of top reading materials, roadmaps, research papers, and more!
Get this free resource
Active hands-on learning
This course builds on live workshops and hands-on projects
Interactive and project-based
You’ll be interacting with other learners through breakout rooms and project teams
Learn with a cohort of peers
Join a community of like-minded people who want to learn and grow alongside you
Sign up to be the first to know about course updates.
Join an upcoming cohort
Cohort 1
$950
Dates
Payment Deadline