Course

Building Agentic AI Applications with a Problem-First Approach

4.8 (747)

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Aishwarya Naresh Reganti

AI Founder & Advisor to F500s | Ex-AWS

Kiriti Badam

Applied AI @ OpenAI Codex | Ex-Google

This course is popular

11 people enrolled last week.

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

Learn from instructors with a combined 20+ years in AI research and applied AI, and who have led 50+ AI deployments.

✨ Completely revamped syllabus for October. New topics include voice and multimodal AI, inference engineering basics, building your own agent harness, local and sovereign AI, and token economics.

  • No hard prerequisites: Supports no-code and code formats

  • 40+ hours of live 2-way interaction with instructors instead of passive 1-way lectures

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

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

Current Offers:

1. This course: Get 25% off using this link or Scholarship program

2. 🎁 Full Stack AI Bundle — $2,950 early bird

Become a full-stack AI builder by year-end.

What’s included:

  • This course + the Agent-Native Operator workshop

  • Advanced self-paced courses: Harness Engineering and Beyond Evals

  • Hands-on Portfolio Build Labs with selected partners to build your resume + $800–$1,000 in Partner Credits (Deepgram, Arize, NVIDIA, Cursor, Lyzr, Grain, Cartesia, Vapi, Mem0, Composio, Exa).

Should you really buy an AI course (including this one)? Read this guide

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 adds value by reframing business challenges through a systems lens.

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

  • Understand token economics basics and how usage shapes your AI product’s costs.

  • Combine tools, retrieval and memory to build enterprise AI agents.

  • Build your own agent harness through a hands-on assignment.

  • Learn to use frontier harnesses and understand where concepts like loop engineering and graph engineering fit.

  • Build reference datasets to identify failures and improve your AI system iteratively.

  • Implement evaluation and guardrail techniques using AI judges and semantic scoring.

  • Apply architecture-specific evaluations to retrieval, tool calling and autonomous agents.

  • Build voice and multimodal AI applications for enterprise use cases.

  • Learn inference engineering basics, local and sovereign AI, SLMs and fine-tuning.

  • Explore multi-agent coordination, MCP/A2A protocols, and skills/plugins.

  • 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

Contact

AI Founder & Advisor to F500s

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

Kiriti Badam

Contact

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

19 live sessions • 72 lessons

Week 1

Oct 17—Oct 18

    Oct

    17

    Welcome Lecture

    Sat 10/174:00 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

Oct 19—Oct 25

    Oct

    20

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

    Tue 10/203:00 PM—4:00 PM (UTC)

    Oct

    21

    Homework Office Hours 1b (US/APAC Friendly)

    Wed 10/211:00 AM—2:00 AM (UTC)

    Oct

    22

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

    Thu 10/223:00 PM—4:00 PM (UTC)

    Oct

    23

    Content Office Hours 1b (US/APAC Friendly)

    Fri 10/231:00 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, Oct 17

      4:00 PM—5:00 PM (UTC)

    • Tue, Oct 20

      3:00 PM—4:00 PM (UTC)

    • Wed, Oct 21

      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

Get your company to pay

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.

Save 20%+ with a team

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

·
Oct 17—Nov 22
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