May Habib

AI Deployment - How to Leverage AI Across Your Business

CEO and Co-Founder of Writer

Why a full stack approach makes for turn key LLM and generative AI deployment.

Full Stack Approach and Why it Matters

How to think about your business data, leverage what you currently have, and make your data work for you.

Data-Data-Data

How to get started with generative AI, move out of testing phases and into actual deployment across the business.

Move Out of Testing

Hear about some of the best use cases for generative AI today and future use cases for tomorrow.

Real World Applications of AI Today

The best leadership on GenAI for decision makers - no fluff, no nonsense, lots of substance. Learn straight from best experts and global business leaders through live sessions over 3 weeks. Outstanding Guest Speakerswho have established and directed global teams on cutting-edge technologies, and made a significant impact on the AI landscape and regulations• Prof. Dr. Patrick Glauner, Political advisor; evaluated EU AI Act proposal for national assemblies of Germany, France, Luxembourg• Dipayan Chakraborty, Partner AI at BCG, Ex Flipkart, Myntra• Shreeni Rajanala, VP Data Science at Bayer• Anurag Singhvi, Head of Analytics at Flipkart,&nbsp;India's largest e-commerce platform• Arockia Liborious, Head of Cognitive and GenAI, Author• Dushyant Gupta, COO of Cetas Healthcare and more amazing speakers. This is the most comprehensive course out there on Generative AI for Decision Makers. You will -• Understand GenAI technology, its utility and limitations.• Identify the right GenAI use cases• Make build vs. buy decisions with confidence• Navigate risks, ethics, data, legal issues• Define the role of GenAI in your strategy• Improve personal productivity• Lead your organizations through AI adoption Salient features - - Designed with inputs from 30+ leaders like you to make it maximum value for you.- Learn from the best - multiple business leaders and experts - via live interactions.- Numerous case studies and activities, both individually and in groups to maximize cohort-based learning.- Concise, no fluff, lots of hands on.- 6 live lessons over 3 weeks All sessions will be recorded, so if your miss one, you can review it at your own pace, regardless of your time zone.

A holistic GenAI course for all decision makers to boost your career.

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

Tuesdays and Thursdays

Course schedule

Executives and business leaders who want to enhance strategic decision making and transform their organizations.

For technical leaders and managers looking to create impact by building better GenAI solutions and lead teams better.

Experienced individual contributors looking to move into leadership roles while leveraging the potential of GenAI.

Leaders at various levels who want to be personally more productive and be future ready to lead in a GenAI world.

Who is this course for

What you’ll get out of this course

An executive overview of GenAI - what it is, some key technologies, what it can and cannot do. Hands-on activities for you to experience firsthand not only the power of this technology, but also its limitations.

Understand GenAI technology, its utility and limitations, through hands-on activities.

How do you identify use cases that truly deliver value? Explore case studies on successful and failed implementations of GenAI. Learn the various considerations in identifying potential use cases and building impactful solutions.

Identify right use cases, make build or buy decisions, derive maximum value from GenAI

Evaluate the GenAI readiness of your organization. Define the role of GenAI in your strategy. Achieve goals by identifying strategically complementary GenAI solutions for your organization, while ensuring a solid data strategy.

Define the role of GenAI in your overall strategy, including opportunities for innovation and efficiency.

What makes a tech giant pull out of Europe? What is unique about GenAI that makes it a hot topic for regulation and ethics. Learn the risks in using GenAI and ethical considerations. Learn some fundamental principles to inform your AI governance strategy.

Ensure responsible AI practices, overcome legal/ethical challenges, create a great customer experience.

As a leader, leverage GenAI to improve your personal productivity and also lead your organization. Understand the 3P framework for organizational transformation. Learn what is different about GenAI transformation and manage the change.

Lead organizations better through higher personal productivity, GenAI adoption and effective change management in the organization.

#1 Rated Course on GenAI for Leadership - no fluff, hands on activities, cohort based live learning from top global leaders.

Mirza Rahim Baig

AI leader 15 years, GenAI startup mentor, author, educator | Zalando, Flipkart

Cohort Feb 24

Cohort Apr 25

If you’re a software engineer or data scientist, chances are you’ve built or seen a proof of concept (POC) for a generative AI app. It’s exciting at first—an impressive demo that showcases the potential of large language models. But here’s the problem: that’s where it usually stops. These POCs often fail to scale into reliable, production-ready applications. The result? Endless iteration cycles, unreliable outputs, and frustration as teams struggle in what we call “POC purgatory.” It doesn’t have to be this way. With the right principles, processes, and workflows, you can build LLM applications that work in production – without overcomplicating pipelines or chasing trends. This course focuses on the iterative development, evaluation, and debugging practices that make AI systems production-ready. We’ll explore tools like RAG, embeddings, and agents, but the emphasis is on building scalable, robust systems – ensuring you leave with the mindset and skills to adapt as the technology evolves. You’ll not only learn how to design, test, and deploy generative AI applications, but also how to iterate and improve rapidly. This isn’t just about building something cool – it’s about creating AI systems that solve real problems, deliver real value, and scale with confidence. What to ExpectThis is a highly interactive course designed to get you results. Across live workshops, discussions, and hands-on projects, you’ll build your skills while solving real-world challenges. •	Live coding sessions to design and refine LLM applications.•	Iteration exercises to explore how small changes can dramatically improve reliability.•	Discussions on user-centric development and integrating feedback loops.•	Expert-led Q&amp;As to help you tackle your toughest challenges. What You’ll Learn •	How to transform POC demos into production-grade applications.•	Strategies for managing non-determinism and optimizing outputs through prompt engineering.•	How to monitor, log, and debug AI systems to ensure reliability and performance.•	Best practices for handling structured outputs and integrating function calling into your applications.•	Building workflows for iterative development and experimentation.•	Practical skills through hands-on app development, including creating a Generative AI app to query PDFs. Bonus Perks All students will receive - Receive $1,000 in Modal credits for cloud compute – giving you resources to power real AI applications.- $300 in Google Cloud and Gemini credits for the first 100 registrants.- 3-months of access to Learn Prompting Plus (valued at $117): Gain immediate access to over 20 hours of comprehensive courses in Prompt Engineering, Prompt Hacking, AI Image Generation, &amp; more!- More credits may be announced soon! Guest lectures Learn directly from leading practitioners solving real AI problems in production. These sessions focus on practical workflows, debugging strategies, and building scalable systems – not just theoretical research or cutting-edge multi-agent architectures. Enrolling will also give you access to all recorded guest lectures from Cohort 1 of this course: - Hamel Husain (Ex-Airbnb, GitHub) – Basic Data Literacy for Debugging and Evaluating LLMs&nbsp;- Swyx (Latent Space podcast, smol.ai, ai.engineer): Engineering AI Agents in 2025- Sander Schulhoff (CEO, LearnPrompting.org) – Prompt Engineering in the LLM SDLC&nbsp;- Charles Frye (Developer Advocate, Modal) – Hardware for LLM Developers- Ravin Kumar (DeepMind) – End-to-End LLM Product Development This Course Is For •	Data scientists and machine learning engineers who are sick of unreliable POCs and want to ship reliable LLM applications.•	Software engineers who want to learn how to build generative AI systems and master the LLM software development lifecycle. This Course Is Not For Those •	Looking for an introductory course in AI—some programming knowledge is required.•	Expecting ready-made solutions for AI problems without active participation.•&nbsp;Expecting deep dives into advanced evals, multi-agent systems, or large-scale RAG pipelines. This course emphasizes building and iterating on practical, production-ready systems.•	Unable to commit to hands-on projects, live discussions, and iterative development exercises. Why Take This Course By the end of this course, you’ll: •	Understand the first principles of generative AI development.•	Gain hands-on experience building robust, scalable applications.•	Learn how to troubleshoot, monitor, and optimize AI systems for production.•	Develop workflows to iterate and refine AI applications effectively.•	Leave with the confidence to deploy reliable AI systems at scale.

Ground principles that underpin successful GenAI app development

Live in person sessions. We'll finalize session times by mid-November.

Mondays and Wednesdays

To ensure hands-on practical time, there will be project work to complete throughout the course.

Weekly projects

Data scientists, machine learning engineers who are sick &amp; tired of seeing and building prototypes &amp; want to ship reliable LLM applications

Software engineers who want to learn how to build Generative AI systems and learn the LLM software development lifecycle.

You’ve seen impressive generative AI demos—but how do you take them to production? In this course, you’ll learn the exact workflows, tools, and engineering practices needed to turn concepts into reliable, scalable applications that deliver real value.

Move beyond POCs and build production-ready AI systems

Struggling with inconsistent outputs? Through interactive exercises, you’ll explore proven techniques for optimizing prompts and ensuring your AI delivers actionable results in production settings.

Master prompt engineering for reliable results

When your AI application breaks, you’ll know exactly how to fix it. We’ll walk you through real-world debugging sessions, monitoring techniques, and tools to ensure your systems stay reliable at scale.

 Learn to debug and monitor AI systems like a pro

Want your AI to produce precise, usable results? You’ll learn how to handle structured outputs and function calls, making your applications smarter and more user-friendly.

Build smarter applications with structured outputs

Stop wasting time in endless iteration cycles. Through guided projects, you’ll discover how to set up workflows that refine your applications faster and with less frustration.

Accelerate your development process with iterative workflows

Tired of theoretical knowledge? You’ll build a fully functional app that uses text and image models to query PDFs, giving you practical experience solving complex real-world problems.

Develop hands-on expertise by building GenAI and LLM apps

Whether you’re looking to lead AI projects, impress stakeholders, or level up your technical expertise, this course gives you the tools to stand out as an AI/ML practitioner.

Advance your career with practical, proven techniques

These aren’t just skills for demos—they’re skills for delivering scalable, production-ready systems that solve real-world business challenges.

Solve Real Problems at Scale

Leave the course with a project you can add to your portfolio, demonstrate to your boss, or use to showcase your ability to deploy reliable AI systems.

Showcase Tangible Results

Build LLM-powered software reliably & from first principles. Learn the GenAI software development lifecycle: agents, evals, iteration & more

Hugo Bowne-Anderson

Host of Vanishing Gradients podcast; ex-Outerbounds; expert in DS/ML.

Stefan Krawczyk

Ex-Stitch Fix; 13+ Years building / productionizing data, ML, and AI

Cohort 1

Cohort 2

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

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

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.

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

Ready to level up your practical gen AI expertise?&nbsp;Forget the complexities and technical mumbo jumbo.&nbsp;Jump into the gen AI sandbox and give yourself permission to play.&nbsp;Transition from knowing your organizations agenda, to training your AI assistant.&nbsp;Explore, share, and elevate your gen AI skills in a supportive platform with your peers.&nbsp;It’s about the gentle nudge to turn your “should know” skills into “can do’s”, with a dose of fun and optimism.

Course Description

If your events are recurring and at the same time, it might be easiest to use a single line item to communicate your course schedule to students

Mon & Wed; optional Sat

Feel free to type out dates as your title as a way to communicate information about specific live sessions or other events.

May 7, 2022

Schedule items can also be used to convey commitments outside of specific time slots (like weekly projects or daily office hours).

Senior professionals and executives who want to level up practical gen AI capabilities with vetted, expert tips.

Leaders who know they should be using gen AI for a breadth of activities, but haven’t quite tackled them yet.&nbsp;

No coding knowledge required. No technical complexity.

Unlock 8 live sessions and 15+ Rapid Results Lessons (10-min video/exercises). Explore the “Resource Vault” brimming with unique frameworks, assessments, reviews, playbooks, cheat sheets and more.

Fast track your learning with AI First by Design proprietary live sessions, dynamic reinforcement lessons, and valuable, curated resources.

Begin by evaluating your skills maturity level and AI First Mindset. Equip yourself with table-stakes guardrails, prompting skills and automation workflows.&nbsp; Get hands-on and build custom prompting playbooks, GPTs, automated workflows and more.&nbsp;

Master essential Gen AI skills to boost your communication, productivity, and creativity.

Build your new AI sidekick / assistant.&nbsp;Personalize it to tackle repetitive tasks, summarize documents, and nail your tone of voice. Customize it to match your style and say hello to a more efficient, automated workflow.

Ready to redefine productivity?  Build your new, customized AI assistant.

Draft your personalized learning plan. Enjoy six months of monthly coaching calls following the course , a private peer network, and ongoing added resources. Elevate your skills, learn from and with your peers, and embrace growth.

Create your Future Ready Learning & Accountability Plan

Harness gen AI.  Turn your “should do’s” into “can do’s.” No tech headaches, just savvy techniques, vetted tools, & welcoming peers. 

Lightning Lessons

AI Deployment - How to Leverage AI Across Your Business