Maven

Build & Launch A Real AI Product In 11 Weeks With Teams - Phase 1 and 2

Intermediate

This bootcamp offers a comprehensive journey to build and launch a real AI product in 11 weeks. Participants will lead a team of developers and designers, gaining hands-on experience and creating a portfolio that stands out in the hiring process. The course is designed to help you become a confident AI product leader and entrepreneur.

AI product strategy
AI product management lifecycle
AI UI/UX design
Prompt engineering
Prototyping with no-code tools

Overview

In this bootcamp, you will learn to build and launch a real AI product with a team of developers, designers, and data scientists. The course covers AI product strategy, UI/UX design, prompt engineering, and more. You'll gain hands-on leadership experience, create a standout portfolio, and receive job referrals from our extensive alumni network. This is your launchpad into AI product leadership and entrepreneurship.

English
course language
Professional Certification
upon course completion

Who is this course for?

Product Managers and Senior PMs

Looking to break into AI and gain real AI experience that sets you apart.

Engineers, Consultants, Marketers, Analysts, Designers, and Data Scientists

Seeking hands-on experience building and launching real AI products.

Startup Founders and CEOs

Who want to launch a real AI product, grow users, and explore seed funding.

This bootcamp is your launchpad into AI product leadership, offering hands-on experience in building and launching real AI products. It's designed for professionals looking to break into AI, providing the skills and portfolio needed to stand out in the hiring process.

Pre-Requisites

1 / 3

No technical background required to start
Interest in AI product management
Willingness to work in a team environment

What will you learn?

Week 1: AI Product Strategy and AI Basics

Apply the Gucci Framework, build a strategic AI roadmap, and engage in self-paced learning with recommended AI courses.

Week 2: End-to-End AI Product Management Lifecycle

Learn about AI product lifecycle, hypothesis validation, MVP, launch success metrics, and model building.

Week 3: Existing LLM and AI Models, Trade-offs, and Pricing

Overview of AI models, trade-offs, decision-making, and pricing strategies.

Week 4: Advanced AI

Deep dive into advanced AI topics such as Agentic AI, MLOps, Langchain, and data pipeline.

Week 5: AI UI/UX Design and AI Architecture

Learn Microsoft AI UX principles and LLM agent architecture with live demos.

Week 6: Advanced Prompt Engineering

Design prompts for real AI use cases and practice techniques like few-shot and zero-shot.

Week 7: Prototyping & Building with No-Code Tools

Learn to integrate LLMs, APIs, and data pipelines into working prototypes.

Week 8: AI Product Portfolio Development

Turn your launched product into a portfolio that gets noticed with expert feedback.

Week 9-10: AI PM Resume and AI PM Interview

Discuss typical AI PM interview questions, resume keywords, and add AI product portfolio projects to your resume.

Week 11: GTM - Drive Users and Engagement of Your AI Project

Leverage networks to boost your AI project's visibility and get promo support.

What learners say about this course

“Dear Dr. Nancy, thank you for believing in TravlMate and inspiring us through the highs and lows—your support helped us reach 3rd place, and we’re so proud of what we’ve accomplished.”
Yuriy
Former Student
“Thank you, Dr. Nancy! This journey pushed me beyond my limits, and I’m excited to keep building while job hunting—grateful for your belief in me and looking forward to exploring ways to partner with the program.”
Samita
Former Student
“Hi Dr. Nancy! Thank you for voting our Storytime team #1—it means so much! I’m grateful for the chance to work on both products and for the confidence boost after my SAHM journey.”
Ankita
Former Student

New cohorts coming soon