Batch 13 is in session. Batch 14 waitlist is open — expected around mid to late October 2026.  Join the Waitlist →
AI Pathfinder Hub · Batch 13 in session · Batch 14 waitlist

The AI Engineering Certification for Working Engineers.

48 hours of live training with Phani Chandra Sekhar, founder of AI Pathfinder Hub, with 23 years in IT and a PG Certification in AI/ML from IIIT Hyderabad.

📅 Every Weekend · Sat & Sun
⏱️ 2 Hours per Session
👥 Max 20 Seats
🎓 Certificate Included
Join Batch 14 Waitlist Book a Free Career Call
Batch 13 is currently in session. Batch 14 is expected around mid to late October 2026, possibly the fourth week.
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13 batches including 12 completed and Batch 13 in session
Waitlist Open
AI Engineer Certification
Batch 13 is in session · Batch 14 expected mid to late October 2026
₹35,000
₹50,000
What you pay: ₹35,000 · List price retained at ₹50,000 · Optional ₹12,000 × 3
  • 24 live sessions × 2 hours = 48 hours
  • 7 production-grade projects
  • LangGraph, MCP, Fine-tuning, Voice AI
  • Private community + alumni network
  • Session recordings included
  • Live mentorship in a room of max 20
Join Batch 14 Waitlist Try a free workshop first
13
Batches Run
20
Max Seats
48h
Live Training Hours
23+
Years IT Experience
AI engineering roles are expanding quickly across product, services, and internal automation teams.
Average AI Engineer salary: ₹18L–35L per annum (LinkedIn Salary Data, 2025)
Hands-on AI deployment experience is still the gap most engineers need to close.
All Programs

Choose Your Learning Path

Whether you want to start free or go all-in — there's an option built for you.

🎯
Free Access
Weekly AI Workshop
Every Saturday 9 AM IST. Hands-on AI engineering — live coding, real projects, Q&A with Phani. Starts with a useful workshop and ends with the Batch 14 waitlist.
₹0
Every Saturday · 90 minutes · Zoom
  • Live coding with real AI tools
  • Q&A with Phani directly
  • Preview of paid program content
  • Community access
Register Free →
⭐ Most Popular
🚀
Live Program
AI Engineer Certification · Batch 14 Waitlist
The full 24-session live program, expected around mid to late October 2026. Build real products, get live mentorship in a room of max 20, and graduate with a portfolio that shows your work.
₹35,000 ₹50,000
What you pay now · Optional ₹12,000 × 3 payment plan · Batch 14 waitlist
  • 24 live sessions × 2 hrs (48h total)
  • 7 production projects
  • LangGraph, MCP, Fine-tuning, Voice AI
  • Session recordings + community
  • Certificate of completion
  • Alumni network access
Join Batch 14 Waitlist →
📚
Self-Paced
AI Engineering Foundational Course
50+ hours from completed batches. Battle-tested content, work at your own pace. Perfect if live weekends don't work for you.
₹7,999 ₹15,000
One-time payment · Lifetime access
  • 50+ hours of recorded content
  • Assignments & projects
  • Refined curriculum from completed batches
  • Certificate of completion
Enroll Self-Paced →
Full Curriculum · 2026 Edition

24 Sessions. Zero Fluff.

Built around what the market actually pays for in 2026 — not recycled YouTube content.

1
Foundations — Build the Base. No Shortcuts.
Weekends 1–3 · Sessions 1–6 · 12 hours
Session 1Weekend 1 · Sat
AI/ML Landscape & Career Roadmap
  • AI vs ML vs Deep Learning vs GenAI — clear mental map
  • Career paths: AI Engineer, ML Engineer, AI Product Manager
  • Skills that get you hired in 2026
  • Live demo: What you'll build by program end
Session 2Weekend 1 · Sun
Build Your First Data Processing Engine — the Foundation Every AI Project Needs
  • Python fundamentals refresher — syntax, data structures, OOP
  • NumPy, Pandas: vectorised operations, DataFrames, EDA
  • Matplotlib & Seaborn: data visualisation
  • Hands-on: Full EDA pipeline on a real dataset
Session 3Weekend 2 · Sat
Predict Salaries, Prices and Outcomes: Build Your First Production-Ready ML Model
  • ML workflow: data → features → model → evaluate → iterate
  • Linear & Logistic Regression, Decision Trees, Random Forests
  • XGBoost & LightGBM — gradient boosting
  • Hands-on: Salary prediction model end-to-end
Session 4Weekend 2 · Sun
Unsupervised Learning & Model Evaluation
  • Clustering: K-Means, DBSCAN, Hierarchical
  • PCA, t-SNE, UMAP — dimensionality reduction
  • Evaluation deep-dive: Accuracy, F1, AUC-ROC, cross-validation
  • Hands-on: Customer segmentation project
Session 5Weekend 3 · Sat
Deep Learning & CNNs
  • Neural network architecture: neurons, layers, activations
  • Backpropagation & gradient descent — intuition first
  • CNNs, Transfer Learning (ResNet, EfficientNet)
  • Hands-on: Image classifier with PyTorch
Session 6Weekend 3 · Sun
Sequence Models & NLP Basics
  • RNNs, LSTMs, GRUs — why sequence matters
  • Text preprocessing, embeddings, TF-IDF, Word2Vec
  • Hugging Face ecosystem intro (datasets, tokenizers, pipelines)
  • Hands-on: Sentiment analysis on product reviews
2
Modern AI & LLMs — Where the Jobs Are.
Weekends 4–6 · Sessions 7–12 · 12 hours
Session 7Weekend 4 · Sat
Transformer Architecture & Attention
  • Self-attention mechanism — step by step
  • BERT, GPT, T5 — architecture differences and use cases
  • Positional encoding, multi-head attention
  • Hands-on: Visualising attention, using BERT for classification
Session 8Weekend 4 · Sun
Wire Up GPT-4o, Claude and Gemini APIs Into Your Own Applications
  • LLM landscape 2026: GPT-4o, Claude, Gemini, Llama, Mistral
  • Prompt engineering: zero-shot, few-shot, chain-of-thought
  • Structured outputs, function calling, system prompts
  • Hands-on: Multi-purpose AI assistant with OpenAI/Anthropic API
Session 9Weekend 5 · Sat
Generative AI: Text, Image & Audio
  • Text generation: creative writing, summarisation, code gen
  • Image generation: DALL-E, Stable Diffusion, Flux APIs
  • Audio generation: TTS, voice cloning overview
  • Hands-on: Content generation pipeline (blog + image + audio)
Session 10Weekend 5 · Sun
Build a Bot That Never Hallucinates, Using Your Own Private Data
  • Why RAG? The hallucination problem solved
  • RAG architecture: Retriever → Knowledge Base → Generator
  • Chunking strategies, re-ranking, hybrid search
  • Hands-on: Q&A bot over your own documents
Session 11Weekend 6 · Sat
Vector Databases & Embeddings
  • Embeddings deep-dive: what they are and why they work
  • Pinecone, Weaviate, Qdrant, ChromaDB — when to use what
  • Semantic search vs. keyword search vs. hybrid
  • Hands-on: Semantic search engine for a product catalogue
Session 12Weekend 6 · Sun
Run AI on Your Own Machine — No API Bills, No Data Leaks NEW
  • Why run AI locally? Privacy, cost, offline use cases
  • Ollama: running Llama 3, Mistral, Qwen, Phi on your machine
  • Model quantisation: GGUF, Q4, Q8 — quality vs. speed trade-offs
  • Hands-on: Local AI assistant vs. cloud API comparison
3
AI Engineering — Build Things That Work in Production.
Weekends 7–9 · Sessions 13–18 · 12 hours
Session 13Weekend 7 · Sat
AI Agents: Fundamentals & Architecture
  • What makes an AI agent? Perception → Reasoning → Action
  • Agent types: ReAct, Plan-and-Execute, Multi-agent
  • Tools, memory, state — the three pillars
  • Hands-on: Research agent that searches, reads, and summarises
Session 14Weekend 7 · Sun
LangChain & LangGraph
  • LangChain: chains, tools, memory, output parsers
  • LangGraph: state machines, conditional edges, human-in-the-loop
  • Streaming, checkpointing, long-running workflows
  • Hands-on: Multi-step agent (research → draft → review loop)
Session 15Weekend 8 · Sat
Connect Claude and GPT to Any Tool, API, or Database You Own NEW
  • What is MCP and why it's changing AI integration in 2026
  • MCP architecture: hosts, clients, servers, tools, resources
  • Building MCP servers: expose your APIs to any AI assistant
  • Hands-on: Build and deploy your own MCP server
Session 16Weekend 8 · Sun
Train a Model That Speaks Your Industry's Language From Day One NEW
  • When to fine-tune vs. RAG vs. prompt engineering
  • LoRA and QLoRA — parameter-efficient fine-tuning
  • Datasets: collecting, formatting, cleaning
  • Hands-on: Fine-tune Llama 3.2 on domain-specific data (Colab)
Session 17Weekend 9 · Sat
Voice AI & Multimodal AI NEW
  • Speech-to-Text: Whisper, Deepgram, AssemblyAI
  • Text-to-Speech: ElevenLabs, OpenAI TTS — voice cloning
  • Vision models: GPT-4o Vision, Gemini Vision, LLaVA
  • Hands-on: Voice-activated AI assistant (speak → AI → answers back)
Session 18Weekend 9 · Sun
AI APIs & System Integrations
  • Designing AI-powered APIs with FastAPI
  • Async processing, streaming responses, webhooks
  • Integrating AI into n8n, Zapier, Make automation
  • Hands-on: Production-ready AI API with async streaming
4
Production & Career — Ship It. Get Hired.
Weekends 10–12 · Sessions 19–24 · 12 hours
Session 19Weekend 10 · Sat
Cloud AI Services & Deployment
  • AWS Bedrock, SageMaker, Lambda for AI
  • Azure OpenAI, Vertex AI, Cloud Run
  • Docker for AI apps — build once, run anywhere
  • Hands-on: Deploy an AI app to cloud
Session 20Weekend 10 · Sun
MLOps & AI System Monitoring
  • Experiment tracking: Weights & Biases, LangSmith
  • Model monitoring: drift, quality, latency, cost tracking
  • LLMOps: evaluating outputs, A/B testing prompts
  • Hands-on: W&B dashboard for your AI project
Session 21Weekend 11 · Sat
Design an AI Product From Idea to Working MVP in a Single Weekend
  • From idea to AI product: scoping, MVP, iteration
  • UX patterns for AI: streaming, confidence signals
  • Monetisation: freemium, API credits, SaaS, marketplace
  • Workshop: Design your capstone product end-to-end
Session 22Weekend 11 · Sun
Build Your Portfolio Project — the One You'll Show at Job Interviews
  • Guided build session — instructor + peer support live
  • Architecture review and feedback
  • Blocker resolution, edge cases, integrations
  • Milestone: Working prototype by end of session
Session 23Weekend 12 · Sat
Capstone: Deploy & Present
  • Final deployments — get your project live
  • Peer presentations: 5-min demo + Q&A per student
  • GitHub portfolio, README, demo video walkthrough
  • Alumni + industry guests invited to showcase
Session 24Weekend 12 · Sun
🎓 Career Development & Graduation
  • AI job market 2026: roles, salaries, what companies want
  • Resume crafting + LinkedIn optimisation for AI roles
  • Interview prep: technical rounds, system design, LLM evals
  • Certificate ceremony + alumni network welcome
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Want to build tools like these yourself?
Join the Batch 14 waitlist and ship your own AI product in 3 months.
Session 21 alone covers how to design, build, and monetise an AI tool from scratch.
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Career Call

Not Sure Where to Start?

Book a free 30-minute call with Phani. Get a personalised AI career roadmap built around your current skills and goals.

Free AI Career Consultation

Whether you're a fresher exploring AI or an experienced engineer looking to pivot, this session gives you clarity, a personalised roadmap, and the next step into the Batch 14 waitlist.

⏱️ 30 minutes
💻 Zoom call
🆓 Completely free
⭐ 5/5 rated
Book Free Consultation →
Phani Chandra Sekhar
13
Batches Run
Your Instructor

Taught by Phani Chandra Sekhar

Phani Chandra Sekhar is the founder of AI Pathfinder Hub with 23 years in IT and a PG Certification in AI/ML from IIIT Hyderabad.

"I've seen every AI hype cycle come and go. I know what's fluff and what actually matters in production. Frankly, I'm too old to waste my time — or yours — teaching things that don't work in the real world."

— Phani Chandra Sekhar, Founder · AI Pathfinder Hub

Growing up with both parents as teachers, Phani brings a practical teaching style to AI Pathfinder Hub: live, hands-on, and focused on what engineers can actually build.

23+
Years IT
20
Max Seats
13
Batches Run
PG Cert
AI/ML · IIIT Hyderabad
Every Saturday · Free

Try a Live Workshop

Every Saturday at 9 AM IST, Phani runs a free 90-minute AI Engineering workshop. Live coding, real projects, real Q&A. The next step is the Batch 14 waitlist.

  • 💻
    Live coding — not slides
  • 🛠️
    Real AI tools & frameworks
  • ❓
    Open Q&A with Phani
  • 🎯
    Different topic every week
  • 🧭
    Ends with Batch 14 waitlist
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FAQ

Common Questions

Everything you need to know before you enrol.

A 48-hour live training program across 12 weekends (24 sessions × 2 hours). Covers LangGraph, RAG, MCP, Fine-tuning LLMs, Voice AI, Local LLMs, and Cloud Deployment. Taught by Phani Chandra Sekhar, founder of AI Pathfinder Hub, with 23 years of IT experience and a PG Certification in AI/ML from IIIT Hyderabad.
Taught live by Phani Chandra Sekhar, founder of AI Pathfinder Hub, with 23 years of IT experience. Batch size is capped at 20 for live mentorship in the room. The 2026 curriculum includes MCP, Local LLMs, and Fine-tuning that most platforms haven't updated yet. Students build 7 real, deployed projects — not toy demos.
Batch 14 fee is ₹35,000, with the ₹50,000 list price retained for now. Optional ₹12,000 × 3 payment is available. Batch 13 is currently in session, and Batch 14 is expected around mid to late October 2026, possibly the fourth week of October. The live room is capped at 20 seats.
No prior AI experience required — only basic programming knowledge. The program starts from ML fundamentals before progressing to LLMs, Agents, and production deployment. It is specifically designed for working IT professionals making the transition into AI engineering roles.
Yes. Attend a free 90-minute workshop every Saturday at 9 AM IST to experience Phani's teaching style, or book a free 30-minute AI career consultation. Both paths end with the Batch 14 waitlist if you want to continue.
Yes. The AI Engineering Foundational Course offers 50+ hours of recordings from completed batches at ₹7,999 (was ₹15,000), with lifetime access, assignments, projects, and a certificate of completion.