Amit Rawal

Growth Hacking with AI: From Strategy to Execution

Apple

Google

Stanford University

Loft

SumUp

Chief Product & AI Officer, Ex-Apple AI/ML Product Leader, Stanford Fellow

Thiago Oliveira

Head of Growth @ CAFU | Ex-Loft, SumUp and Loggi | Growth & Product Leader

See the GrowthMapper Agent analyze real data to identify growth motions and key levers, creating a data-driven strategy

Use an AI Agent to Design Your Growth Strategy

Build your own GrowthPlanner Agent to brainstorm, rank, and document growth experiments, creating a tailored roadmap

Plan and Prioritize Growth Experiments with AI

Discover how AI workflows can optimize the execution and iteration of experiments, with real-world examples

Streamline Experiment Execution with AI Workflows

Use AI tools to uncover actionable insights from experiment data, connect results with KPIs, and refine your strategy

Analyze Experiment Results with AI

The best guide for leaders to implement Generative AI in their businesses with real results. What You'll Gain: Strategic Clarity:&nbsp;Understand the transformative power of generative AI and how it can reshape your industry and business models. Actionable Insights:&nbsp;Learn how to identify and evaluate high-impact opportunities for implementing generative AI across your organization. Practical Skills:&nbsp;Develop the skills to lead AI initiatives,&nbsp;make informed technology investments,&nbsp;and mitigate associated risks. Competitive Edge:&nbsp;Gain the knowledge to leverage generative AI for innovation,&nbsp;efficiency,&nbsp;and growth,positioning your company ahead of the curve. ﻿Confident Leadership:&nbsp;Become a champion for AI adoption,&nbsp;empowering your teams to harness its potential for success. Key Focus Areas:﻿* Demystifying Generative AI:&nbsp;Understanding the core concepts,&nbsp;capabilities,&nbsp;and limitations of generative AI technologies. * Identifying Business Opportunities:&nbsp;Exploring real-world use cases and identifying high-potential areas for implementation within your organization. * Strategic Planning &amp; Execution:&nbsp;Developing a roadmap for AI adoption,&nbsp;including project selection,&nbsp;resource allocation,&nbsp;and change management strategies. * Risk Management &amp; Ethical Considerations:&nbsp;Understanding the potential challenges and ethical considerations associated with generative AI and developing strategies to address them. * Future-proofing Your Business:&nbsp;Staying ahead of the curve by anticipating advancements in generative AI and their implications for your industry. By the end of this course, you'll be equipped with the knowledge and tools to confidently lead your organization into the era of generative AI. All sessions will be recorded and made available for you to keep immediately after the course concludes. Interested in an enterprise license or NGO sponsorship so your team can take the course? Please reach out directly to amplify@ayeshakhanna.com

Amplify your potential with AI

Provide a brief description for each module as a way to sell the value of what students will be learning throughout the course.

First Module

Second Module

Third Module

Course syllabus

You will have access to all lessons once the cohort starts and can view them on your own pace.

42 Course Lessons

<ul><li>Course Orientation (1h, 1st week)</li><li>Final Remarks and Q&amp;A (1h, 3rd week)</li></ul>

Q&A with Dr. Ayesha Khanna

Course schedule

Senior Leadership (C-Suite and VP Level):Identify new business opportunities,&nbsp;optimize existing processes, make informed tech investments.

Department Heads &amp; Managers: (e.g., Marketing, Sales, Operations, HR, Finance) streamline workflows,&nbsp;boost efficiency,&nbsp;and improve decisions

Startup founders &amp; CEOs enhance business,&nbsp;from idea generation to solution building to customer service.

Who is this course for

What you’ll get out of this course

Understand the fundamentals of Generative AI, and how it is being used in different industries to increase productivity and profitability.

How Generative AI is different from existing AI techniques and why it is transformative for businesses


Identify AI opportunities by understanding your business needs,&nbsp;exploring use cases,evaluating feasibility, starting small ,and fostering AI at scale.

How to assess and identify business opportunities to leverage Generative AI.


Create an agile Generative AI roadmap fueled by data,&nbsp;collect information from diverse sources to tailor the Gen AI to your needs, identify priorities, estimate development efforts, and guide iterative development.

How to use data to build an agile roadmap for a Generative AI project


Get a practical roadmap for executing a Generative AI project,&nbsp;from ideation to deployment and learn how to overcome typical challenges and avoid common pitfalls.

How to run a Generative AI project lifecycle including choosing vendors and a team


Focus on business metrics that matter such as efficiency gains (time saved,&nbsp;cost reduction,output increase), quality improvements (accuracy, novelty, customer satisfaction), business outcomes (revenue growth, market share), and user experience (adoption, satisfaction).

How to choose realistic metrics to track the impact of Generative AI projects.


Make AI decision-making processes understandable,&nbsp;ensure accountability by assigning clear responsibility for AI actions and outcomes ,and uphold data privacy by securely collecting, storing ,and using data in compliance with relevant regulations.

How to create an AI governance policy to manage the risks related to AI and data.


Learn how to successfully build Generative AI solutions that increase productivity and profitability, and make you stand out in your career.


Dr. Ayesha Khanna

Cohort 3

Cohort 4

The AI Revolution is Just BeginningSince ChatGPT's landmark debut in late 2022, we've witnessed a seismic shift in how businesses and consumers view AI. What started as a fascinating chatbot has sparked a fundamental transformation across industries. Large Language Models, once considered cutting-edge, are now table stakes. As we move from GenAI to Agentic AI, the pace of innovation shows no signs of slowing.The message is clear: AI isn't just another tech trend—it's becoming the core of how products and services will be built and delivered. Whether you're in B2C or B2B, your products will either evolve to leverage AI or risk becoming obsolete. The AI Execution ChallengeBut here's the paradox: While AI technology races forward, many product teams are still struggling with the basics of building successful AI products. If you're a product or design leader, you've likely experienced the pressure to "get something out there with AI." Companies are rushing to implement solutions, driven by top-down mandates, competitive pressure, or technological FOMO.The reality? Successful AI products aren't born from rushing to implementation. They come from thoughtful strategy, careful validation, and deliberate planning that creates genuine value for users and business. Right now, teams are:- Jumping into AI implementation without proper strategic deliberation- Struggling to identify which problems truly need AI solutions- Missing alignment with critical user needs in the rush to deploy- Lacking frameworks to evaluate and validate AI opportunities- Unable to effectively communicate the "why" behind AI initiatives But does it have to be this way? You can learn to evaluate and strategize AI initiatives with confidence. You can develop clear frameworks for validating AI opportunities. You can create compelling roadmaps that align stakeholders around a shared vision.This is exactly what you'll master in this course. What you will learn: - How to identify which problems truly need AI solutions- How to evaluate AI opportunities using proven frameworks- How to build user trust in AI through thoughtful design- How to craft AI experiences users will actually adopt- How to validate AI features before heavy investment- How to choose the right AI interfaces for your use case- How to define data requirements for AI success- How to plan for responsible AI implementation- How to measure AI product success meaningfully- How to communicate AI strategy to stakeholders- How to align teams around your AI vision- How to create AI roadmaps that drive real value- How to assess technical feasibility early- How to prototype AI features with no-code tools to get buy-in Our ApproachThis course is designed to transform how you think about and approach AI product opportunities. If you engage fully with the course, you'll make a fundamental shift from "How do we add AI to our product?" to "How do we strategically create value with AI?" You'll develop the muscle memory to instantly recognize good AI opportunities, ask the right questions, and make informed strategic decisions. Throughout the program, we'll move beyond theoretical frameworks to tackle real challenges you're facing through AMA sections of the workshop. We'll explore the nuances of different AI use cases, examine edge cases that challenge conventional thinking, and work through examples that build your strategic instincts. Every framework and approach we teach comes from real-world experience leading AI initiatives—successes and failures included. We've specifically designed this course to build your confidence through practice. Each week builds upon the previous learnings, helping you develop a natural intuition for AI product strategy. All sessions are recorded, and frameworks are documented so you can revisit and reinforce your learning as you lead future AI initiatives.

Plan Your First AI Prototype with Help from Seasoned AI Professionals

8:00 - 9:30am Pacific Time11:00 - 12:30pm Eastern Time5:00 - 6:30pm British Standard Time AI Product Discovery WorkshopThis workshop includes time to practice the frameworks we're learning with group breakouts and hands-on exercises. Recording will be available.

Tuesday, December 3rd

8:00 - 9:30am Pacific Time11:00 - 12:30pm Eastern Time5:00 - 6:30pm British Standard Time Design Considerations for AI SystemsGet ready to tour the world of innovative UI user experiences. Recording will be available.

Wednesday, December 4th

8:00 - 9:30am Pacific Time11:00 - 12:30pm Eastern Time5:00 - 6:30pm British Standard Time Data &amp; Technical Plans for AI ProductsWe'll dive deep into data considerations and how to choose between emerging architecture frameworks in AI systems. Recording will be available.

Tuesday, December 10th

8:00 - 9:30am Pacific Time11:00 - 12:30pm Eastern Time5:00 - 6:30pm British Standard Time AI Protoyping and ValidationGet ready for a fast-paced ride through the world of tool for AI prototyping and validation. Recording will be available.

Wednesday, December 11th

Put aside 2-3 hours to work on your AI project idea between sessions. You'll be guided with a workbook to consider the most important decision points.

Weekly projects

Join our Slack community that lives on even beyond the course! Network with like-minded product and design leaders, and get feedback on your projects and progress.

Network & Get Feedback

Product Leaders &amp; Founders Leading AI initiatives or building AI products? Learn to evaluate opportunities and create roadmaps that deliver

Design &amp; Research Leaders Shape the future of AI experiences. Learn to uncover user needs, design trustworthy AI interactions, and validate

Innovation Consultants Guide clients through AI transformation. Learn frameworks to evaluate opportunities and create actionable strategies

This course is NOT for aspiring product and business leaders hoping to use AI to gain their first experience in software development.

Key Outcomes

Learn to identify and validate AI opportunities that deliver real value. Move beyond the hype to uncover genuine user needs and business opportunities that AI can uniquely solve.

Define Winning AI Opportunities

Master the principles of designing AI interfaces that users trust and love. Learn to create experiences that balance automation with user control, transparency with simplicity.

Craft AI User Experiences
 

Develop comprehensive strategies that address data requirements, model selection, and technical feasibility. Learn to make informed decisions about AI capabilities and resource needs.

Create Actionable AI Strategies
 

Master the principles of AI product design that build user confidence. Learn how to create experiences that are transparent, intuitive, and aligned with user expectations in the AI era.

Design for Trust & Adoption
 

Build compelling narratives around your AI initiatives. Create strategic documents and presentations that communicate your vision and gain buy-in from leadership and stakeholders.

Drive Stakeholder Alignment
 

Learn to assess AI implementation options and make informed decisions about technology choices. Develop criteria for selecting the right tools and approaches that align with your product goals.

Evaluate Technical Approaches
 

Create a portfolio of strategic artifacts including opportunity assessments, user journey maps, data strategies, and product roadmaps that showcase your AI product leadership capabilities.

Build Your Strategic Portfolio
 

Learn to strategize, validate, and plan AI products that deliver value. Leave with a  plan to build your first Minimum *Lovable* AI Product!

Rupa Chaturvedi

Polly Allen

Cohort 1

Cohort 2

Every business struggles with inefficiency, inconsistent messaging, and manual tasks that take up valuable time. Teams often get bogged down with repetitive work like lead generation, competitor analysis, and data entry, leaving little room for strategic focus. This leads to slow decision-making, increased human error, and missed growth opportunities.This course is designed to solve those problems by teaching you how to leverage AI agents to automate critical but tedious tasks. Imagine having systems in place that not only reduce mistakes but also ensure that your team spends less time on manual work and more time driving business growth. AI agents allow you to scale faster, streamline processes, and maintain brand consistency across all channels. Why You Need This Course:• Automate lead generation and competitor analysis: Say goodbye to the hours wasted on research and data entry, and let AI handle it for you.• Improve accuracy and efficiency: With fewer manual processes, your team will make fewer mistakes and work smarter.• Maximize team focus on strategic goals: Free your team from tedious tasks so they can concentrate on what really matters—driving real results for your business. The Problems This Course Helps You Solve:• Inefficient operations: Your team wastes time on tasks that should be automated.• Inconsistent messaging: With AI, you ensure consistency across every channel, avoiding the misalignment that slows growth.• Growth bottlenecks: By reducing human error and increasing speed, you’ll see faster results without compromising quality.

Let your team tackle high-impact work, not waste time on busywork.

Kick off with an introduction to AI agents and their role in automating GTM strategies. Learn how to identify tasks AI can automate and begin building your AI-driven GTM plan.

Week 1

Dive into hands-on sessions for creating and deploying AI agents. Learn how to automate key GTM processes like lead generation and competitor analysis, without needing any coding experience.

Week 2

Master the skills to scale your AI agents across multiple channels, ensuring consistency and efficiency. We’ll also cover strategies for troubleshooting and optimizing AI agents to ensure ongoing performance.&nbsp;

Week 3

For the final project, you’ll build, deploy, and optimize an AI agent that automates a key part of your Go-to-Market strategy. You’ll gather data, define your goals, and implement a working AI agent that can automate lead generation, competitor analysis, or data management.

Final Project 

Course Structure

CMOs or Senior Marketing leaders who are responsible for scaling marketing efforts across various channels.

Sales Executives looking to automate repetitive sales processes, improve lead scoring, and enable their teams to focus on higher-value tasks

AI and Digital Transformation Leaders leading AI or digital transformation initiatives in mid-to-large businesses.

You’ll learn to create AI agents from scratch, automating tasks like lead generation and follow-ups. Through hands-on projects, you'll actively build workflows that can be applied to real-world business scenarios.

Design and Build AI Agents

You’ll dive into case studies and simulations to understand how AI can improve lead quality, automate scoring, and streamline customer engagement. By the end of the course, you’ll know how to apply AI solutions to boost your team’s productivity.

Apply AI to Solve Marketing Challenges

You’ll experiment with top AI tools and platforms, gaining practical experience in automating repetitive tasks like data entry and competitor analysis. These skills will help you reduce errors and increase operational efficiency.

Optimize Workflows with AI Tools

You’ll learn the step-by-step process for integrating AI agents into existing systems, focusing on scalable solutions that grow with your business. Through interactive assignments, you’ll deploy AI solutions that can handle increased workloads without extra staff.

Implement and Scale AI Systems

Learn how to build AI agents to automate lead gen, competitor analysis, and data entry, boosting your GTM strategy and productivity.

Ashley Gross

CEO & Founder of AI Workforce Alliance

I teach leadership, strategy, and innovation at a leading business school, and I must admit that AI-powered tools have fundamentally transformed the way we work—and should lead.&nbsp;Traditional frameworks and approaches to leadership, strategy, and innovation are no longer sufficient. The rise of AI demands a rethink, a redefinition of how we lead teams, craft strategies, and drive innovation in a rapidly evolving business landscape. This power-packed course is designed to guide busy executives through this transformational shift. You’ll explore how AI reshapes leaders' decision-making, strategy design, and innovation processes while learning how to align these changes with your organization’s goals. This course is thoughtfully designed into 4 modules, delivered through 2 days of live sessions. DAY 1/2 Module 1: AI and its Business Implications Learning Objectives:→ Understand the fundamentals of Artificial Intelligence and its key applications in business.→ Explore how AI is disrupting industries and reshaping business models. Case Studies:Amazon: Leveraging AI for personalized recommendations and supply chain optimization.Netflix: Using AI to analyze viewer preferences and optimize content creation. Module 2: Redefining Leadership in the Age of AI Learning Objectives:→ Explore the changing role of leaders in AI-driven organizations.→ Learn to foster human-AI collaboration while maintaining empathy and ethical decision-making. Case Studies:Microsoft: Transforming leadership practices to build trust in AI technologies.Google DeepMind: Ethical challenges and leadership lessons in AI innovation. DAY 2/2 Module 3: Strategic Thinking and Decision-Making in the AI Era Learning Objectives:→ Develop adaptive strategies that leverage AI capabilities.→ Enhance decision-making by integrating AI-driven insights. Case Studies:Tesla: Using AI for real-time data analysis and strategic decision-making in autonomous vehicles.Procter &amp; Gamble: AI-driven consumer insights for strategic market positioning. Module 4: Driving Innovation with AI Learning Objectives:→ Foster a culture of experimentation and continuous innovation using AI.→ Identify opportunities for AI to enable breakthrough innovations. Case Studies:OpenAI: Revolutionizing industries with generative AI innovations like ChatGPT.Airbnb: Using AI to enhance customer experiences and innovate pricing models. The course ends with a hands-on implementation project (AI-driven Leadership, Strategy and Innovation Plan) giving you a chance to apply your learnings.

Our leadership, strategy, and innovation models are no longer working!

Pre-reading

Live-sessions

Project

Time commitment

C-suite Executives and Senior Leaders looking to navigate the opportunities and challenges AI brings to their organizations.

Mid-Level Managers aiming to future-proof their leadership skills and drive impactful strategies in an AI-driven world.

Business Innovators and Strategists eager to leverage AI for breakthrough innovation and competitive advantage.

Who is this course for?

Gain a comprehensive understanding of how AI is redefining organizational practices.

Understand the Transformational Impact of AI

Develop the skills to lead in an AI-driven world by fostering collaboration with AI systems.

Redefine Leadership for the AI Era

Learn to craft adaptive and forward-thinking strategies that leverage AI to anticipate market changes.

Build Future-Ready Strategies

Cultivate a mindset of continuous innovation and experimentation by integrating AI capabilities.

Drive Innovation in AI-Powered Landscape

AI is shaking things up! Our existing approach to leadership, strategy, and innovation might not cut it anymore.

Lightning Lessons

Growth Hacking with AI: From Strategy to Execution