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Build AI Systems That
Actually Work in Production

Hands-on Agentic AI training for IT professionals and developers. Real tools, real case studies, real career impact — not just theory.

Reserve Your Seat → Watch Free Content
2 Specialized Programs
13+ Days of Hands-On Labs
30+ AI Tools Covered
100% Applied Case Studies

Technologies you'll master

LangChain CrewAI Agno LangGraph Playwright MCP ChromaDB Qdrant Ollama HuggingFace DeepEval Langfuse Whisper Gemini 2.5 Claude Code Cursor RAG MCP VectorDB

Programs

Two Paths. One Goal:
Make You AI-Ready.

Whether you're building AI systems or testing them, we have a career-changing program designed specifically for your role.

🏗️ For Developers & IT Pros

Agentic AI: Applied Case Studies for Real-World Systems

An intensive 8-day program taking you from GenAI foundations to building fully autonomous multi-agent systems with real-world case studies — PII detection, fraud prevention, loan processing automation, and more.

8 Days Live Cohort + Recordings Python Required

Program Overview

  • Day 1GenAI Foundations — PII Detection Case Study
  • Day 2Core GenAI Components — Fraud Prevention with VectorDB
  • Day 3Agentic AI — Multi-stage Loan Processing Automation
  • Day 4Model Context Protocol (MCP) — UI Automation
  • Day 5Multimodal AI — Audio, Image & Video Intelligence
  • 6–8Advanced AI Labs & Real-World Integrations
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🧪 For QA Engineers & Testers

Agentic AI for QA Engineers: AI-Powered Test Automation

A 5-day specialized bootcamp for QA professionals to master AI-driven testing — from behavioral testing of agents to fully automated greenfield and brownfield test pipeline generation.

5 Days Live Cohort + Recordings QA Background

Program Overview

  • Day 1Foundations of Agentic QA — Testing Non-Deterministic Systems
  • Day 2Deep Testing of Agentic Workflows — Adversarial & Stress Testing
  • Day 3MCP for Advanced QA — Playwright, VectorDB, CrewAI Workflows
  • Day 4Greenfield Automation — AI-Generated Test Suites from Requirements
  • Day 5Brownfield Automation — Regression from Existing Codebases
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Who Should Enroll

Built for People Who
Write Real Code

Not generic AI literacy. Serious technical training for people who want to build, ship, and lead AI systems.

🧑‍💻

IT Professionals

Software developers, backend engineers, and architects who want to transition into AI roles or integrate AI into their existing systems.

  • Go from code to agentic systems in 8 days
  • Build AI features your team can ship
  • Command higher salaries with AI skills
  • Lead AI initiatives at your company
🎓

Students with Programming Skills

CS graduates and students who know Python and want to differentiate themselves with proven, portfolio-worthy AI engineering skills.

  • Build real projects to show employers
  • Stand out in a crowded job market
  • Get hands-on with tools companies use today
  • Qualify for AI engineer & MLOps roles
🧪

QA Engineers & Test Leads

Testing professionals who want to future-proof their career by mastering AI-powered test automation and agentic QA pipelines.

  • Automate test generation with AI agents
  • Test AI systems — not just traditional software
  • Move from manual testing to AI-led QA
  • Become indispensable in AI product teams

Detailed Curriculum

Every Day Builds
Something Real

No slides-only sessions. Every day includes applied case studies where you build working systems from scratch.

Day 1

Generative AI Foundations

  • What makes an AI application intelligent?
  • Prompting, RAG & context engineering
  • Local LLM setup: Ollama, Llama3, Qdrant
  • Embeddings and vector search basics
🔬 Case Study: PII Detection using LLMs
Day 2

Core GenAI Components

  • LLM server management & model invocation
  • VectorDB operations for intelligent search
  • Semantic search with embeddings
  • Building scalable GenAI pipelines
🔬 Case Study: Credit Card Fraud Prevention
Day 3

Agentic AI

  • Why Agentic AI — agents vs. simple prompts
  • PDF, GitHub, web scraping integrations
  • Multi-agent collaboration: Agno, CrewAI, LangGraph
  • Function calling for tool invocation
🔬 Case Study: Multi-Stage Loan Processing
Day 4

Model Context Protocol (MCP)

  • What is MCP and why it matters
  • Designing MCP-powered workflows
  • Custom MCP server: Stdio, SSE, HTTP Streamable
  • Secure & reliable tool execution
🔬 Case Study: UI Automation with Playwright MCP
Day 5

Multimodal AI

  • Audio: Whisper & Vosk for speech-to-text
  • Image: OCR, scene understanding, object detection
  • Video: captioning, Q&A, classification
  • Gemini 2.5, Qwen2.5-VL, LLaVA
🔬 Case Study: Customer Support Call Analysis
Day 6

AI Labs — Real Scenarios

  • GDPR & PII data-leak detection pipeline
  • Credit card fraud prevention with GenAI
  • Automated programmer & QA engineer agent
  • End-to-end SDLC automation
Day 7

AI Integrations — MCP Deep Dive

  • Loan processing with multi-agent orchestration
  • MongoDB, PostgreSQL, GitHub MCP
  • PDFKnowledgeBase & CrawlAI MCP
  • Browser automation workflows
Day 8

Multimodal — Advanced Scenarios

  • Transcribe & analyze customer-agent calls
  • Invoice extraction & medical image reasoning
  • Identity verification from documents
  • Video-aware compliance systems
Day 1

Foundations of Agentic QA

  • Agentic vs. traditional software systems
  • Testing behaviors, not just outputs
  • Detecting hallucinations & reasoning drift
  • Designing tests for non-deterministic AI
🔬 Hands-On: Testing a Simple Agent
Day 2

Deep Testing of Agentic Workflows

  • Functional: multi-step plans & tool invocation
  • Non-functional: latency, token cost, memory
  • Prompt injection & adversarial testing
  • Evaluation frameworks: DeepEval, Ragas, Promptfoo
🔬 Multi-Agent Workflow Testing
Day 3

MCP for Advanced QA Workflows

  • Playwright MCP for E2E UI automation
  • ChromaDB & Qdrant for semantic validation
  • Multi-agent QA: CrewAI & Agno
  • Claude Code, Cursor, GitHub Copilot for QA
Day 4

Greenfield Testing Automation

  • AI-powered requirements → test design pipeline
  • LLM extraction of business logic from BRDs
  • Auto-generate positive, negative & edge cases
  • Self-healing test suites with agentic agents
Day 5

Brownfield Testing Automation

  • Generate regression suites from existing codebases
  • GitHub MCP to analyze controllers, services, APIs
  • Identify untested paths via LLM static analysis
  • Continuous regression with minimal human effort

Tooling

30+ AI Tools.
Real Hands-On Practice.

You'll work with the exact tools that AI engineering teams use in production — not toy examples.

CrewAI
Multi-Agent
Agno
Multi-Agent
LangGraph
Agent Framework
LangChain
LLM Orchestration
Playwright MCP
UI Automation
ChromaDB
Vector Database
Qdrant
Vector Database
Ollama
Local LLMs
HuggingFace
Model Hub
Whisper
Speech AI
Gemini 2.5
Multimodal
LLaVA / Qwen
Vision LLM
DeepEval
LLM Evaluation
Ragas
RAG Evaluation
Langfuse
LLM Observability
Promptfoo
Prompt Testing
Guardrails.ai
Safety Layer
Claude Code
Agentic Coding
Cursor
AI IDE
GitHub Copilot
Code AI
MongoDB MCP
Database
PostgreSQL MCP
Database
GitHub MCP
Dev Tools
CrawlAI MCP
Web Scraping
Llama3
Open LLM
bge-large
Embeddings
Vosk
Speech AI
CrewAI Flow
Workflow
@aifutureskillsacademy
Free lessons • Live demos • Career advice

Free Content

Try Before
You Enroll

Our YouTube channel has free deep-dives into Agentic AI concepts, live coding sessions, and career guidance for IT professionals moving into AI. Watch. Learn. Then enroll when you're ready.

  • ✓ Free tutorials on LLMs, RAG, MCP & Agents
  • ✓ Live coding sessions with real tools
  • ✓ Career transition advice for IT professionals
  • ✓ Q&A sessions and community discussions
Subscribe on YouTube

Real Alumni · Real LinkedIn Recommendations

Trusted by Professionals
Across the Globe

From Directors at Big 4 firms to Principal Engineers at HP — our alumni have applied these skills where it counts.

★★★★★
"Grateful to the AI Architect Club for their incredible guidance and support in coaching on AI Architecture. The structured learning, practical insights, and mentorship truly made a difference in my understanding of real-world AI systems. Appreciate the effort and dedication of the entire team!"
KB
Kaushik Bhattacharya
Director Quality Engineering, RSM US LLP
★★★★★
"Highly recommend AI Architect Club for professionals aiming to master GenAI architecture. I gained expertise in agentic flows, vector DBs, and production-grade GenAI applications — the sessions helped me master these skills and explore new AI topics."
SP
Sarin PS
AI Architect · Program Alumni
★★★★★
"I'm happy to share that I have successfully completed the Applied Generative AI Architect Program. I highly recommend this course to anyone looking to build strong fundamentals and practical knowledge in GenAI and Agentic AI. The structure, teaching quality, and hands-on approach make it truly valuable."
CV
Chikkireddi Venkateswara Rao
Technical Expert, Hewlett-Packard
★★★★★
"This instructor-led live online training provided a strong hands-on and conceptual foundation in building real-world AI solutions — covering GenAI, LLMs, RAG, Vector Databases, MCP, Multi-Agent Architectures, and Multimodal AI. This has significantly enhanced my ability to design scalable, production-ready AI architectures."
PM
Palani Murugan
Principal Engineer
★★★★★
"I discovered a whole universe of tools applicable to over 90% of current challenges — fraud detection, credit process automation, database query automation, text, image, and data processing. AI is far more than chat. It holds enormous potential to transform economic and financial dynamics. Intense — but absolutely worth it."
FC
Fabian Chahin
Economist · AI, Finance & Sustainability Leader
★★★★★
"I have completed the Applied Gen AI Architect program from the AI Architect Club. Highly recommended for anyone looking to grow in this space."
MM
Mandar Mandhare
Product Manager, TCTS · Ex-Ericsson · Ex-Alcatel Lucent
★★★★★
"If you are looking to deepen your understanding of AI systems and connect with industry experts, I highly recommend joining the AI Architects Club. The level of discourse and the quality of shared resources are top-tier. It's a must-follow for anyone serious about the future of technology."
AG
Abeer Gupta
Computer Science Undergraduate · AI Enthusiast

FAQ

Common Questions

Reserve Your Seat

Start Building AI Systems
That Belong in Production

Seats are capped per cohort to keep the experience hands-on and high-signal. Fill out the form — we'll confirm your spot and send you prep materials within 24 hours.

  • 🎯
    Applied from Day 1 Every session includes a working case study you build yourself — not just walkthroughs.
  • 🎓
    Certificate + Portfolio Projects Walk away with a completion certificate and 6–8 real AI systems in your GitHub.
  • 🔁
    Lifetime Recording Access Miss a session? All live cohort sessions are recorded. Rewatch at any time.
  • 💬
    Alumni Community Stay connected with instructors and peers in our ongoing community channel.
🔗
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2
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3
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Join the live cohort, complete applied case studies, earn your certificate.
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