Oct 11—Nov 15, 2025

Save 20%+ with a team

$2,500

Course Structure

Instructor-led. Resource-rich. Business-focused.

Design and build applied AI solutions that actually solve business problems.
Yes, we cover RAG, context engineering, agents, automation, and coding with AI. But always as tools to create value — not hype checklists. If you’re only chasing buzzwords, this course isn’t for you.

🚀 What Makes This Different

  • Instructor-led + resources: Live Saturday sessions with Sravan Ankaraju plus curated resources, templates, and guides to extend your learning.

  • Practical, not theoretical: Every week, you build — from CustomGPTs to deployed web apps — culminating in a polished capstone project.

  • Career acceleration focus: Whether you’re a manager, director, or aspiring leader, you’ll learn how to apply AI to marketing, finance, operations, compliance, and data workflows.

  • Flipped-classroom inspired: Short lectures and demos, reinforced by live interaction, hands-on labs, and capstone coaching.

⛳ Who Should Join

This course is for professionals who want to move beyond surface-level prompts and become AI Operators: people who can combine tools, workflows, and design thinking to deliver business impact.

  • Builders and innovators looking to upskill in applied AI

  • Product Managers who want AI fluency

  • No heavy coding required — but curiosity, problem-solving, and the willingness to get hands-on are a must.


🌍 Why Now

AI is no longer optional. From compliance automation to agent-driven operations, most enterprise systems will integrate AI-first workflows in the coming years. This shift will create demand for professionals who can apply AI effectively — not just talk about it.

The AI Operator Lab helps you stand out by giving you the tools, mindset, and portfolio proof to step into these roles confidently.

THE COURSE OUTLINE

The Most Impactful 6 Weeks You’ll Spend Building AI Fluency

Over six Saturdays, you’ll move from foundational AI fluency to advanced workflows, agents, and deployment. Each week adds a new layer of skills and practice, culminating in a capstone project that showcases your ability to apply AI to real business challenges.

6-WEEK PLAN

A Practical, Hands-On Journey

Each week blends guided instruction with real projects. You’ll not only learn the concepts behind AI fluency, RAG, automation, and agents — you’ll build working solutions you can demo, deploy, and showcase in your portfolio.

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AI Fluency Foundations: Speaking the Language of AI

Learn how prompts shape outputs, from zero-shot to role-based prompting.

Explore context engineering: adding structure, layering, and constraints for precision.

Recognize common pitfalls like hallucinations and brittleness — and how to fix them.

Frame AI fluency as the foundation for every system you’ll build later.

WEEK 1

RAG Foundations: Making AI Smarter with Knowledge


Understand why retrieval-augmented generation (RAG) grounds AI in facts, not guesses.

Build pipelines with Weaviate or Pinecone to search across real data sources.

Compare chunking, embedding, and retrieval strategies for accuracy and cost-efficiency.

See how RAG transforms customer support, compliance, and research workflows.

WEEK 2

Workflow Automation: Scaling with n8n + GenAI

Move from one-off tasks to repeatable, automated flows.

Build intelligent automations with n8n, boosted by Generative AI.

Orchestrate data collection, reporting, and approvals with minimal coding.

Add evaluation layers and guardrails to keep automations reliable.

WEEK 3

Agentic AI: Systems that Think and Act Together

Understand how single-purpose agents evolve into multi-agent systems.

Build with Flowise, and explore frameworks like LangGraph and LangFlow.

Learn coordination patterns — shared memory, state sync, error recovery.

Design agents that reason, plan, and collaborate beyond static workflows.

WEEK 4

Coding with AI: From Ideas to Applications

Pair with Claude Code to translate natural language ideas into working code.

Explore rapid prototyping: build, test, and iterate faster than ever before.

Compare strengths and weaknesses of AI coding assistants.

Deploy your prototypes to Lovable, Replit, or Vercel for real-world use.

WEEK 5

Capstone Showcase: Bringing It All Together

Week 6 (Capstone Showcase: Bringing It All Together

Integrate prompts, RAG, automation, and agents into one polished solution.

Tackle a real business-relevant challenge of your choosing.

Present your capstone project to peers and mentors as a portfolio piece.

Leave with a proof point that demonstrates AI fluency to employers and stakeholders.

WEEK 6
Each weekend adds a new layer — from prompts and knowledge systems to automation, agents, and deployed apps — culminating in capstone showcase.
What You’ll Build, Week by Week
CustomGPT with Actions

A tailored AI assistant that not only chats but can also take real steps, like pulling data or triggering workflows.

Knowledge-Augmented Solution

Use Weaviate or Pinecone to power solutions with real, retrievable data.

GenAI Augmented Workflow Automation

Workflow automation with n8n, boosted by GenAI, lets streamline tasks while adding smart, context-aware decision-making.

Agentic AI Systems

Design and deploy AI systems that coordinate multiple agents — using Flowise with options like LangGraph and LangFlow — to solve complex tasks through collaboration and decision-making.

Deploying AI-Powered Web Applications

Launch live web apps using platforms like Lovable, Replit, or Vercel — turning prototypes into accessible, shareable solutions ready for real-world use.

Capstone Showcase

Present end-to-end AI solution demonstrating fluency in prompts, automation, agents, and deployment as a polished project which can be showcased to peers, employers, and stakeholders.

What's Included

  • Live sessions: Learn directly from Sravan Ankaraju in a real-time, interactive format.

  • Community of peers: Stay accountable and share insights with like-minded professionals.

  • Community of peers: Share your new skills with your employer or on LinkedIn.