Director of AI Education at A+ Active

Cityblock Health

HashiCorp

The New School

PrismML

Webflow

Jai Bhagat

[Live Demo] Local AI via NVIDIA Blackwell versus ChatGPT

Identify when Chat or Codex is a bad choice

Why Local AI instead of Chat?

Understanding benchmarks such as Agent's Last Exam

Can Local AI beat Chat?

Exploring use cases and Jai will be in the hot-seat. Ask hard questions and Jai will prompt & write kernels live.

What can be guaranteed for production?

Master LangChain, LangGraph, Agentic RAG, MCP  - create the intelligent, autonomous AI workflows & AI Agents like - https://www.aitripy.com

Agentic AI Bootcamp

AI Tech Founder

Nitin Monga

Tech Founder & AI Engineer 

50 Hours Live Code Along

4 cohorts · 5.0★ rating · alumni at Meta, Oracle, NVIDIA, JP Morgan Chase, ICICI Bank, National Bank of Kuwait, Bluemarlin, LiveRamp, Ogilvy, TeradataYou've watched the tutorials. You still can't ship an agent.That's not a knowledge problem — it's a reps problem. Tutorials show you code. They never make you write it, debug it, and deploy it with someone who's done it before sitting next to you.This bootcamp fixes that. Every single session is live. Every topic is code-along. You open your editor, I open mine, &amp; we build multi-agent systems with LangChain, LangGraph &amp; MCP line by line — 30 live sessions, the most live instruction of any AI bootcamp on Maven.And it ends with something no tutorial gives you: a production agentic AI app running on AWS under your own custom domain. Not a notebook. Not a localhost demo. A live URL you can put in front of employers, clients, and investors.You graduate with:<ul><li>A deployed multi-agent AI application — live on the cloud, on YOUR domain</li><li>Multi-agent orchestration: LangChain + LangGraph + MCP + Agentic RAG &amp; Vector Databases</li><li>Evaluation &amp; monitoring so your agent is trustworthy, not just impressive</li></ul>More Details -<a target="_blank" rel="noopener noreferrer nofollow" href="https://tinyurl.com/agentic-ai-future">https://tinyurl.com/agentic-ai-future</a>

 10 Weeks to Deployed AI product you can show clients, Employers or Investors

Ship a production AI agent to your own domain

Orchestrate multi-agent systems with LangChain, LangGraph & MCP

Build Agentic RAG pipelines that are measurably accurate

Make your agents production-trustworthy: evals, observability & guardrails

Build the full stack around your agent — and build faster with AI

Turn the skills into career or business outcomes

Developers moving into AI engineeringYou can code, but agents still feel like magic. In 10+ weeks of live building you'll close the gap

Entrepreneurs &amp; FoundersBuild your MVP or first client-ready agent during the course. Launch AI-powered products, or automate workflows

Product ManagersLooking to lead AI-driven product development, understand agent architecture &amp; collaborate effectively with technical team

Turn information overload into a Knowledge Engine that talks back. Go from drowning in unread PDFs to shipping high-fidelity AI artifacts.

Solutions Architect & AI Educator

Thoughts Brewing

HubSpot

United Way

MANTECH

Damien Griffin

Solutions Architect & Co-Founder at Thoughts Brewing, LLC

Cohort 11

Cohort 13

This course is for AI-curious professionals who are tired of LLMs hallucinating about their own business data. You’ve used the big bots, but you’re ready for a tool that stays grounded in your specific files, not the entire internet.You should pull up a chair if you are:<ul><li>An overwhelmed researcher or lead sitting on a pile of unread PDFs and half-baked notes.</li><li>A solutions-oriented builder who needs to turn raw data into interactive podcasts, briefing docs, and infographics without the usual tech headache.</li><li>A busy professional who has played with NotebookLM but wants a structured way to master the non-intuitive interface and see what else it can actually do.</li></ul>We are looking for active builders who already have a basic handle on how to talk to a bot. We won’t be covering "Prompting 101" here, we are diving straight into building a Knowledge Engine that actually talks back.This is not for the AI absolute beginner or anyone looking for a tool to browse the web for generic answers. This is for the person who wants to tame information chaos and turn their personal library into a competitive advantage.

Master NotebookLM: Turn Data Chaos Into Precise AI Artifacts in a Weekend

Build a grounded Knowledge Engine

Transform raw data into executive-level artifacts

Generate custom Audio Overviews for hands-free learning

Visualize complex info with Mind Maps and Infographics

Navigate the 3-panel interface like a systems pro

Pressure-test your mastery with AI-generated Quizzes

You should have experience using tools like ChatGPT, Gemini, or Claude to ensure we can focus on NotebookLM-specific workflows.

Proficiency in AI Prompting

A personal or Google Workspace account is required to access the NotebookLM platform during the live sessions.

Active Google Account

Access to a desktop computer (preferred) and a stable Zoom connection for the live interactive portions of the weekend.

Standard Tech Setup

Leaders &amp; Project Managers needing reliable AI. Build a grounded system that uses your data to automate workflows.

Founders synthesizing research fast. Turn private notes and transcripts into professional audio and text reports.

Operators &amp; Researchers managing massive document libraries. Extract precise insights and summarize complex data without manual effort.

Learn to make key decisions and investments that compound into successful business outcomes with GenAI

Cohort 2

How to build reliable agents

Skanda Vivek

Senior AI scientist, building enterprise AI agents in production. 

Cohort 1

Cohort 3

According to a recent MIT report, 95% of GenAI pilots fail. This course aims to teach you what it takes, for success.About me:Over the past few years, I've worked on bringing numerous LLM, and agentic AI projects to production. I won't lie - most of them have failed. But through hard lessons and a few successes (including a 1$M+ increase in profits) I have learned what it takes to achieve success with GenAI use-cases.Now, you will learn what the ingredients are, to achieve success. Spoiler alert: Its not just putting the tools together, but a shift in mindset that you will learn through this course.

Learn how to move AI agents from demo to enterprise workflow

What are agentic harnesses and how to build them

Learn how to bring in context -don't let context be your bottleneck to success

Guide your agent in production through evals and monitoring

Capstone: build and deploy an AI agent in the real world

Engineers, ML/AI scientists, and tech leads shipping production AI agents who are tired of demos that fall apart with real users and data.

Technical founders and hands-on CXOs who need to take a stalled pilot to a reliable, deployed system.

Builders who want to learn how to deploy production-grade, reliable applications the right way.

A bootcamp for AI decision-making: Prove judgment, defend bets, win the AI era.

Director of AI 

Intel

Swarovski

Jukin Media

Pepsi

Dalibor Jovic

Director of AI

Leadership & Product Excellence Coach

Schlumberger

Odfjell

StormGeo

Shell

Hussam Ahmad

AIJUDG01

AIJUDG02

Cutting-edge tech is cheap and plentiful. Execution is where the graveyard fills up. Most AI projects die before they see a customer because the judgment fails.Your engineers are pitching copilots, execs demand AI-driven growth, and competitors are shipping agents. But who's deciding? If you can't answer these questions with certainty, you’re flying blind:<ul><li>Is it a genuine strategic asset, or just expensive AI theater?</li><li>Will it move the bottom line, or just look flashy in a demo?</li><li>What is the right AI UX pattern—or should you skip AI entirely?</li></ul>This is where PMs lose control—to hype, to engineers, or to the competition. They either greenlight the wrong bets and waste 12 months on vaporware, or block things and let competitors eat their lunch.In this workshop, you'll get:<ul><li>The AI Filter: A model to quickly separate gold from fool’s gold .</li><li>The Stress-Test: 3 questions to kill bad ideas before they waste a dime.</li><li>The Scripts: How to defend your calls to execs and engineers so you own the decision, not the backlog.</li><li>The Trenches: Case studies on killing a $2M mistake and unlocking real revenue.</li></ul>This isn’t AI 101. It’s a judgment upgrade for PMs who want to win the AI era. Seats are strictly limited

Learn to spot real AI bets, kill bad ones fast, and defend decisions—becoming the PM who owns AI judgment and leads with confidence.

Spot High-Impact AI Opportunities

Kill Bad AI Ideas Before They Waste Resources

Choose the Right AI UX Pattern

Validate Fast with Research & Prototyping

Lead AI Decisions with Authority

Turn Vague AI Ambitions into Defensible Bets

You’ve led teams, owned roadmaps, and felt the weight of real customer impact.

Have shipped products at scale

You’ve seen enough demos that never shipped and want to cut through the noise.

Are tired of AI hype

You’ve sold tough calls to execs and know the cost of getting it wrong.

Influence leadership

Senior PMs in B2B/Enterprise who’ve seen AI hype fail. Need tools to kill bad ideas early and defend decisions with data.

Senior PMs in high-growth startups eager to lead AI initiatives. Want confidence to spot winners and sell them to leadership.

Heads of Product/VPs drowning in AI pitches. Need a framework to prioritize bets and align teams fast.

Agentic AI

Coding with AI

AI Workflows

Claude Code

OpenClaw

Vibe Coding

AI Evals

AI Transformation

RAG & Search

AI for PMs

AI for Engineers

AI for Designers

AI for Marketers

AI for Founders

Product Sense

Product Discovery

User Research

Prototyping

Growth

Analytics

Tech Foundations

Strategy

Influence

Leadership

Career Growth

Machine Learning

LLM Ops

Context Eng

Security

System Design

Figma

Design Systems

Visual Design

Design Strategy

Automation

Content Marketing

Demand Gen

Go-to-Market

Product Marketing

Positioning

Social Media

Brand

B2B Marketing

SEO & AEO

AI for Leaders

AI Governance

Communication

Management

People Operations

Exec Presence

Storytelling

Goal-setting

Personal Brand

Fundraising

Everyone

Operators

Data Scientists

Business Analysts

User Researchers

Customer Success

Project Managers

HR Professionals

Sales People

Lawyers

Finance

Investors

Real Estate

Educators

Creators

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.

Using AI coding assistants and tools to write, review, and ship code faster.

Operating and deploying large language models in production — fine-tuning, inference, monitoring, and cost optimization.

[Live Demo] Local AI via NVIDIA Blackwell versus ChatGPT

What you'll learn

Why this topic matters

You'll learn from

Jai Bhagat