Priyanka Vergadia

Cohort 1

Cohort Fall 2025

Whether you're a seasoned developer or just dipping your toes into the world of AI, this 10 video series will equip you with the knowledge and tools you need to harness the power of Gen AI now!

Your Beginner's Guide to Getting Started with Generative AI

A framework to drive business value with AI. Cut through the hype and lead your teams with confidence. No coding required.

Generative AI: From Zero to Smart in 3 Hours

Sr. Application Security Engineer

Sr Director Engineering

Sr Director of Engineering

Cybersecurity and IT Pro

Student

Product Manager

Payments Architect

AI Skills Specialist 

Product Design Consultant

With 77% of enterprises exploring GenAI, the pressure is on tech leaders to deliver. But the path is full of risks: costly failed projects, choosing the wrong models, and building solutions that never make it to production. A single misstep can set your team back months and damage your credibility. How do you cut through the noise and build something that delivers real, scalable value?This course provides the answer. It's a comprehensive training that equips you with a proven, 4-step strategic framework to confidently lead your team from a promising idea to a production-ready GenAI application.After this course, you will be able to: Architect an end-to-end GenAI application using a durable, repeatable framework.Make critical decisions on models, infrastructure, and fine-tuning strategies to avoid common pitfalls.Evaluate the trade-offs between cost, performance, and scalability for any enterprise use case.Lead your team with a clear vision, ensuring your AI initiatives deliver measurable business impact. Course ModulesModule 1: Mastering the Foundations of Generative AIWhat is GenAI and why it matters nowUnderstanding the AI technology stack: Infrastructure, Models, and AgentsKey components: Transformers, LLMs, and Neural NetworksThe non-deterministic nature of GenAI and its implications Module 2: The 4-Step Framework (Part 1): Use Case and ModelsStep 1: Define Your Use Case (Problem identification, scoping, AI readiness)Step 2: Select Your Model (Pre-trained vs. custom, sizing, cost-performance tradeoffs) Module 3: The 4-Step Framework (Part 2): Adapt and DeployStep 3: Adjust and Adapt (Fine-tuning, prompt engineering, Responsible AI)Step 4: Integration and Deployment (RAG, vector databases, production considerations) Module 4: Building AI AgentsUnderstanding AI Agents and workflowsFrameworks and real-world integration patternsBest practices for production deployment Module 5: Capstone Project: Architect Your Enterprise AI Blueprint This is where you apply everything you've learned. In this hands-on final project, you will develop a complete strategic blueprint for an enterprise-grade GenAI application based on a real-world business problem. You will define the use case, select a model strategy, outline an adaptation and deployment plan, and present your solution architecture. Who is this course for?This course is designed for:Technical Leaders: Engineering Managers, Tech Leads, and Architects responsible for building and deploying AI solutions.Senior Developers &amp; Principal Engineers tasked with leading AI projects.Product Managers who need to deeply understand the technical strategy behind AI products. Why This CourseWhile other courses focus on specific products that quickly become outdated, this training gives you a durable, product-agnostic framework. It provides the foundational knowledge to make sound strategic decisions, regardless of which new model or platform emerges tomorrow. This course is an investment in your long-term leadership skills, not just a tutorial on a temporary tool.

Building Enterprise AI: From Strategy to Success

Course syllabus

For executives and enterprise leaders seeking seeking to make informed AI implementation decisions and lead teams with a clear path

For technical managers and application developers looking to build AI apps and drive large scale automation projects.

For investors and Venture Capitalists who are looking to evaluate AI startup understanding real capabilities vs market

While we will touch on technical concepts, this course is not for highly technical developers or AI engineers

Who is this course for

What you’ll get out of this course

Tech Leaders: Make informed AI implementation decisions and lead teams with a clear technical roadmap and ROI understanding.

Developers: Understand AI concepts to build production-ready AI applications mastering an efficient AI development process

Investors: Evaluate AI startups and technologies with confidence, understanding real capabilities versus market hype.

Everyone: Understand the fundamentals of AI technology and its practical applications in today's world, regardless of your background.

Getting Started with Generative AI

Sr. Director Developer Engagement at Microsoft (ex-Google)

Pavan Belagatti

GenAI Developer Evangelist at SingleStore

Explain Generative AI, understand where it fits in the broader AI landscape and articulate why its become mainstream

What is GenAI, Where does it fit in broader AI Landscape

Understand how tools like ChatGPT process inputs and generate outputs.

GenAI Foundations explained without jargon

Walk away with a clear roadmap of essential skills and knowledge areas you need to develop to use AI to grow your career

Learn directly from Priyanka Vergadia

Priyanka Vergadia

Courses

Generative AI: From Zero to Smart in 3 Hours

Lightning Lessons

Getting Started with Generative AI

Resources

Your Beginner's Guide to Getting Started with Generative AI