Building Agentic AI Applications with a Problem-First Approach

Aishwarya Naresh Reganti

AI Founder & Advisor to F500s | Ex-AWS

Kiriti Badam

Applied AI @ OpenAI Codex | Ex-Google

This course is popular

20 people enrolled last week.

Learn how to design & build impactful AI products grounded in real experience!

Our instructors each bring more than a decade of experience across AI research and applied AI, including publications at top conferences, patents, and building and leading more than 50 AI deployments for companies including Microsoft, Google, AWS, OpenAI, Samsung, and more!

#1 Rated AI Course on Maven at this scale (670+ Reviews)

To estimate the outcomes of the course, see our capstone projects

  • No hard prerequisites: Assignments for both, with no-code and code learners

  • Flipped classroom format, with > 40+ hours of live 2-way interaction with instructors instead of passive one-sided lectures

  • Continue learning long after the course through our weekly community and guest sessions.

🚨 Current Offers:

  • 25% off with "EARLY25" or Scholarship program

  • AI Builder Bundle: Enroll at full price (3000$) and get our top rated Evals course and Agent-Native Operator course free (total worth $6650)!

  • You can also upgrade to our 1-year AI Builder Pass, which includes unlimited retakes, access to all our other courses, live sessions and partner credits from companies like Vapi AI, Arize, Cursor, Deepgram, Composio, Mem0, OpenAI, and more! Register for this course, and we’ll send you upgrade details over email.

What you’ll learn

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

  • Identify where agentic AI can add value by reframing business challenges through a systems lens

  • Understand why traditional software assumptions fail in AI-driven environments

  • Evaluate tradeoffs between model choices, latency, performance and cost

  • Identify how to incorporate tools, retrieval, memory, etc., to build autonomous systems.

  • Learn best practices for designing agent-based products like agent harnesses, vertical AI agents, long-running agents, and more.

  • Identify research and enterprise-backed methods to build scalable agentic products.

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

  • Implement evaluation and guardrail techniques using LLM judges and semantic scoring

  • Learn architecture-specific evaluation mechanisms ( retrieval, tool calling, autonomous agents etc.)

  • Get an insight into frontier practices at enterprises like post-training, inference optimization, using SLMs, fine-tuning, etc.

  • Analyze multi-agent coordination patterns and challenges & learn about protocols like MCP/A2A as well as constructs like skills/plugins

  • Identify existing enterprise trends and when to use them thoughtfully: harness engineering, loop engineering, and more!

  • Use your learnings to build a real-world enterprise capstone that takes real constraints into account, evals, cost, latency etc!

  • Present your final project to 2000+ attendees including enterprise leaders, investors, and hiring managers

Learn directly from Aishwarya & Kiriti

Aishwarya Naresh Reganti

Aishwarya Naresh Reganti

AI Founder & Advisor to F500s

Previously Worked/Taught at
Amazon Web Services
MIT
University of Oxford
Microsoft
Kiriti Badam

Kiriti Badam

Applied AI Lead | AI Advisor | Ex-Google

Previously Worked/Taught at
Google
Samsung
Databricks
See all products from Kiriti & Aish

Who this course is for

  • Software/AI Engineers, Strategists, Data/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 & lead AI initiatives

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

Prerequisites

  • The only prerequisite

    A willingness to work with a few basic terminal commands. The course does include a no code assignment track, but does require a small setup

What's included

Live sessions

Learn directly from Aishwarya Naresh Reganti & Kiriti Badam in a real-time, interactive format.

Lifetime access to all future cohort material

Go back to course content and recordings whenever you need to. Any changes made to future cohorts will be available for you to access offline

Community of peers

Our alums are product and engineering leaders from some of the best companies: Amazon, Anthropic, Databricks, Google, Snowflake, Notion, Meta, Microsoft and 130+ other companies

Certificate of completion

Share your new skills with your employer or on LinkedIn.

40+ hours of live interaction time

Flipped content w/ office hour style sessions for two way interaction

2 Separate assignment tracks (Low-Code and Code)

You can choose to use a visual agent builder for or python based agentic framework

Access to curated no non-sense AI resources

We've curated a large collection of practitioner approved free resources for you to continue your learning journey

Option to be part of our invite only Chai & AI community post-course

About our community: https://levelup-labs.ai/community.html

Maven Guarantee

Your purchase is backed by the Maven Guarantee.

Course syllabus

20 live sessions • 72 lessons

Week 1

Aug 1—Aug 2

    Aug

    1

    Welcome Lecture

    Sat 8/14:00 PM—5:00 PM (UTC)

    Introduction, Setup & Our Favorite AI Tools

    5 items

    Week 1: Introduction to Generative AI, Agentic AI & Building Applications

    8 items

    [Build] Assignment 1 : Setup And Testing Your Environment

    2 items

Week 2

Aug 3—Aug 9

    Aug

    4

    Content Office Hours 1a (US/EU/UK Friendly)

    Tue 8/43:00 PM—4:00 PM (UTC)

    Aug

    5

    Homework Office Hours 1b (US/APAC Friendly)

    Wed 8/51:00 AM—2:00 AM (UTC)

    Aug

    6

    Homework Office Hours 1a (US/EU/UK Friendly)

    Thu 8/63:00 PM—4:00 PM (UTC)

    Aug

    7

    Content Office Hours 1b (US/APAC Friendly)

    Fri 8/71:00 AM—2:00 AM (UTC)

    Week 2: Context Engg. in 2026 & Building Workflow Agents For The Enterprise

    10 items

    [Build] Assignment 2: Build Your v0 Agentic Search System

    5 items

Free resources

Schedule

Live sessions

5 hrs / week

    • Sat, Aug 1

      4:00 PM—5:00 PM (UTC)

    • Tue, Aug 4

      3:00 PM—4:00 PM (UTC)

    • Wed, Aug 5

      1:00 AM—2:00 AM (UTC)

Projects

3 hrs / week

Async content

4 hrs / week

What makes our course the most holistic Applied AI program out there?

Shoutouts from some amazing leaders & builders

Our alumni come from

Frequently asked questions

❌This course is not for:

  • You get a dopamine hit from checking off concepts and saying, “Look, I built this in an hour,” without understanding how the code works or why specific design decisions were made.

  • You want to keep jumping between the latest tools or learning concepts for their own sake. We teach new tools only when they help solve a meaningful business problem. The depth of thought expected in the capstone should give you a clear sense of who this course is built for.

  • You’ve already deployed AI systems in production and are primarily looking for advanced content on scaling, performance, or optimization.

  • You’re looking for deep theoretical or research focused discussions on transformer internals, pretraining, alignment, or mathematical foundations.

  • You expect detailed coverage of LLMOps, infrastructure, or large scale deployment practices.

Maven for Teams

Reimbursement

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Everything L&D needs: email template, receipts, and certificate of completion.

Get reimbursed

Team discount

Learn with your teammates

Save 20%+ when 2 or more teammates enroll in the same cohort.

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Private cohort

Run a cohort for your org

A dedicated cohort with a custom schedule and curriculum, tailored to your team.

Book a private cohort

$3,000

USD

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