Aishwarya Naresh Reganti

Jan 2026

March 2025 Cohort

May 2025 Cohort

July 2025 Cohort

Self-paced Cohort

Oct 2025 Cohort

Hitachi Cohort

April 2026

June Cohort

Cohort 1

A comprehensive guide to evaluations and monitoring in AI systems. Learn systematic approaches that actually work in production.

AI Evals For Everyone Guidebook

An overview of the applied AI updates in 2025 and what to look forward to in 2026

State of Applied AI 2025 Report

Access our fully free and open-source AI evals course on Github, it'll give you a good high level overview of this course

AI Evals For Everyone Course

We put together a set of 90+ hand-curated FREE resources that cut through the noise. &nbsp;What you'll find: &nbsp;✅ 5 structured learning paths - from fundamentals to production deployment&nbsp;✅ 60+ project ideas categorized by difficulty (so you can build while learning)✅ 10 DeepLearning.AI short courses&nbsp;✅ Complete coding agents section - GitHub Copilot, Cursor, and moer!

Year End AI Resources Handbook

Download a list of over 50 capstone projects from our course with full end-to-end architecture designs, demo video, iterations, evaluations, guardrails, and more across enterprise verticals like healthcare, finance, education, real estate, retail, and legal.

Capstone Projects Showcase

Access our curated collection of top reading materials, roadmaps, research papers, and more!

Our Curated Generative AI Free-Resource Bundle

Learn to make decisions tailored to business constraints, understand when & how to apply AI effectively & build a multi-agent application

AI Founder & Advisor to F500s | Ex-AWS

AI Founder | Lecturer | Advisor | Researcher 

Applied AI Lead | Ex-Google, Samsung

Kiriti Badam

Applied AI Lead | AI Advisor | Ex-Google

Building Agentic AI Applications with a Problem-First Approach

Data Engineer

Financial Analyst

Data manager

Sr Platform Engineer

Sr. UX Designer

Senior Solutions Consultant

Product Lead

principal software engineer

Head of Product Design

Sr. Product Manager

Amazon Web Services

University of Oxford

Microsoft

Google

Samsung

Databricks

Why this course?<ul><li>Taught by renown practitioners who build at the forefront of AI, not people who just talk about it. Check out our instructors’ LinkedIn (<a target="_blank" rel="noopener noreferrer nofollow" href="https://www.linkedin.com/in/areganti/?skipRedirect=true">Aish</a>, <a target="_blank" rel="noopener noreferrer nofollow" href="https://www.linkedin.com/in/sai-kiriti-badam/">Kiriti</a>) &amp; our <a target="_blank" rel="noopener noreferrer nofollow" href="https://testimonial.to/building-agentic-ai-applications-with-a-problem-first-approach/all">wall of love</a>!</li><li>Flipped classroom format and 4 office hours every week, to increase live interaction time with instructors.</li><li>Extreme focus on building for real-world business problems. Check out what our students achieve at the end of the course in our <a target="_blank" rel="noopener noreferrer nofollow" href="https://areganti.notion.site/Enterprise-AI-Projects-Showcase-25bc91fa3236804b8765e54dde771262">capstone showcase here</a>. </li><li>No prerequisites required. We have hands on assignments for both, with no-code and code heavy options.</li><li>Access to our community of 2,000+ product, engineering, and C-suite leaders from top companies like Amazon, Meta, Google, Salesforce, Microsoft, Grammarly, Databricks, Snowflake, and 120+ other companies.</li></ul>More questions? Contact problemfirst.ai@gmail.comThis course is an independent offering and is not affiliated with, endorsed by, or related to the instructors' current or past employers.

Design and build impactful agentic AI systems to solve business problems.

Develop a Problem-First AI Intuition For Enterprise Use Cases

Build an Evals Driven Mindset & Iterative Design

Master Practical Prompt and Context Engineering

Build and Optimize Agentic Pipelines

Apply Everything in a Real-World Capstone

You should have coded at least once in your life. The course includes a no-code assignment track but some knowledge of code helps! 

The only prerequisite

Software/AI Engineers, Strategists, Data Professionals, Solution Architects and Consultants who want to master AI system design

Business Leaders and Product Managers seeking to gain the technical understanding needed to make informed decisions &amp; lead AI initiatives

Entrepreneurs looking to understand common generative AI use cases and learn how to develop and implement AI-powered solutions

Evals aren't your product moat. A continuous improvement flywheel is.

Check out our free AI Evals Certification <a target="_blank" rel="noopener noreferrer nofollow" href="https://github.com/aishwaryanr/awesome-generative-ai-guide/blob/main/free_courses/ai_evals_for_everyone/README.md">here</a> (5000+) Learners!Most teams building AI products today know about evals and LLM judges, but they’re deeply confused about how to actually turn them into actionable improvement signals post production. Just throwing in LLM judges won’t magically fix your product. It won’t.<ul><li>This course shows how to use offline evals, online evals, and production monitoring to drive continuous improvement, based on real production experience.</li><li>We believe that going forward, a thoughtfully designed data flywheel will be the moat for AI applications. This course shows you how to build it.</li><li>This course is for people who’ve already built AI systems and are stuck with evals that are noisy, expensive, or uselessIf you need something more foundational, check out our top-rated flagship<a target="_blank" rel="noopener noreferrer nofollow" href="https://maven.com/aishwarya-kiriti/genai-system-design"> enterprise AI course</a> taken by over 1500+ builders and leaders.</li><li>For questions or bulk enrollments please email problemfirst.ai@gmail.com</li><li>We follow a flipped-classroom format with async lecture content and meet twice a week for office hour style sessions to optimize two-way/interactive live time.</li></ul>

Move beyond one-time evals to continuous improvement flywheels for AI products

Understand what evals actually mean and why it’s misunderstood

Build a pre-deployment evaluation foundation from scratch

Choose the right types of metrics for the system you’re building

Monitor in production and close the improvement loop

You should have built small AI applications before and be familiar with concepts like RAG, MCP, and tool use.

A good understanding of AI system design

The course includes optional Python assignments, you're free to use coding agents, but basic coding skills are recommended

Working knowledge of Python/Coding (Optional)

Software/AI Engineers, Strategists, Data Professionals, Solution Architects and Consultants looking for systematic evaluation practices

Business Leaders and Product Managers seeking to gain the technical understanding of AI Product Lifecycle and intentional iteration

Founders &amp; teams stuck at systematic evaluations and monitoring, unsure how to turn signals into real product improvements.

Build Agent Skills That Actually Work for You

Aishwarya Reganti

AI Advisor, Founder, Ex-AWS

How to decide if workflow should be turned into skills versus just invoked every time?

When to turn a workflow into a skill.

The description field controls everything. We walk through what makes a good one and
 what causes misfires.

How to write a skill your agent actually finds and triggers

What to look for in the skill file, what permissions to question, and what recent
 supply chain attacks taught us.

How to evaluate a community skill before installing it.

Harness Engineering in 2026

How AI interaction evolved from crafting prompts to designing the full system an agent operates inside.

What harness engineering is and why it emerged.

Real examples of harnesses in production, including how OpenAI's Codex team structured theirs

What it looks like in practice

Three pieces you can set up today: an onboarding file, structural constraints, and a
 feedback loop.

How to build your first harness this afternoon.

OpenClaw Mastery For Everyone (Open-house)!

Learn how to host Openclaw at as less as 25$/month

Setup your claw in a security first manner to tackle your inbox

Setup up workflows to triage and send emails

Setup multi-agent systems on OpenClaw

github.com/aishwaryanr/awesome-generative-ai-guide/blob/main/free_courses/openclaw_mastery_for_everyone/README.md

Course link

Prototype to Production with v0 for PMs

Ary Khandelwal

1st Product Manager, v0 at Vercel

Turn a PRD into a deployed app in v0. Go from spec to live product with no handoffs or security gaps.

Ship a production feature without writing code

Import your team's repo, make changes, and submit pull requests yourself, all from v0.

Open PRs directly from your product spec

Those "quick fixes" deprioritized for months? Ship them to production yourself, no engineering queue.

Ship the features stuck in your backlog

Pull context from Notion, Granola, Linear, and more. Ship features informed by your actual specs and research.

Connect v0 to your PM stack with MCPs

#2 Designing Agentic AI Systems for Enterprise Use-Cases

Understand how to take an enterprise use-case, scope it and build solutions w

Watch 20+ Agentic AI Application Solutions

Use-cases include verticals like finance, real-estate, manufacturing, retail and more!

See Live Solutions For a Wide Range of Enterprise Verticals

What sets a good AI practitioner apart is their ability to work within business constraints. Watch it in real time!

Learn About Our Problem-First Framework

A 25% off coupon will be shared during the session and will be valid only until the session ends.

Learn directly from Aishwarya Naresh Reganti

Aishwarya Naresh Reganti

Courses

Lightning Lessons

Build Agent Skills That Actually Work for You

Harness Engineering in 2026

OpenClaw Mastery For Everyone (Open-house)!

OpenClaw Mastery For Everyone (Open-house)!

Prototype to Production with v0 for PMs

#2 Designing Agentic AI Systems for Enterprise Use-Cases

Resources

AI Evals For Everyone Guidebook

State of Applied AI 2025 Report

AI Evals For Everyone Course

Year End AI Resources Handbook