🔥 Batch 12 Early Bird Ends March 1 — Save ₹5,000. Only 20 seats.  Enroll Now →
AI Pathfinder Hub · Batch 12 · Starts March 14

The AI Engineering Certification Taught by a Senior Manager Who Actually Hires Them.

Not a YouTuber. Not a bootcamp in disguise. 48 hours of live training from someone who has sat across the interview table — and knows exactly what makes an AI engineer hireable in 2026.

📅 Every Weekend · Sat & Sun
⏱️ 2 Hours per Session
👥 Max 20 Seats
🎓 Certificate Included
Book a Free 1:1 Career Call Enroll Batch 12 — ₹35,000
Already decided? Jump straight to enrollment. Not sure yet? The free call is 30 mins, no pitch.
A
R
S
K
+
250+ engineers trained across 11 batches
🔥 Now Enrolling
AI Engineer Certification
📅 Batch 12 · Starts March 14, 2026 · 7 PM IST
₹35,000
₹50,000
30% OFF
💳 EMI available: ₹15,000 × 3 months · Early bird ends March 1
Seats filling fast15/20 taken
  • 24 live sessions × 2 hours = 48 hours
  • 7 production-grade projects
  • LangGraph, MCP, Fine-tuning, Voice AI
  • Private community + alumni network
  • Session recordings included
  • 1:1 mentorship from Phani
Enroll Now — Secure Your Seat Try a free workshop first
250+
Engineers Trained
12
Batches Delivered
48h
Live Training Hours
23+
Years IT Experience
AI engineering roles grew 73% in India in 2025 (NASSCOM Digital Skills Report)
Average AI Engineer salary: ₹18L–35L per annum (LinkedIn Salary Data, 2025)
Only 8% of Indian IT professionals have hands-on AI deployment experience (NASSCOM AI Report)
All Programs

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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. No commitment, no cost.
₹0
Every Saturday · 90 minutes · Zoom
  • Live coding with real AI tools
  • Q&A with Phani directly
  • Preview of paid program content
  • Community access
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🚀
Live Program
AI Engineer Certification · Batch 12
The full 24-session live program. Build real products, get real mentorship, and graduate with a portfolio that gets you hired.
₹35,000 ₹50,000
or ₹15,000 × 3 months EMI · Early bird ends March 1
  • 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
Enroll Now — Batch 12 →
📚
Self-Paced
AI Engineering Foundational Course
50+ hours from 11 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
  • 11 batches of refined curriculum
  • 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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Session 21 alone covers how to design, build, and monetise an AI tool from scratch.
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1:1 Mentorship

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 1:1 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 actionable next steps. Zero sales pitch.

⏱️ 30 minutes
💻 Zoom call
🆓 Completely free
⭐ 5/5 rated
Book Free Consultation →
Student Outcomes

Real Engineers. Real Results.

250+ engineers trained across 11 batches. Here's what happens after they graduate.

❝❝

"Joined as a software tester with zero ML background. 3 months later I cleared an AI Engineer interview at a product startup. Phani's program is the real deal."

SR
Srinivas R.
Batch 10 Graduate · Now: AI Engineer
❝❝

"What makes this different is that Phani teaches you what he looks for when hiring. I stopped building AI demos and started building AI systems that work."

PK
Priya K.
Batch 9 Graduate · Now: ML Engineer
❝❝

"The curriculum is not based on YouTube tutorials. Every session has a hands-on project that you can add to your GitHub. I got a 40% salary hike switching to AI roles."

AV
Arun V.
Batch 11 Graduate · 40% salary hike

Are you a past student? Share your story on WhatsApp and we'll feature it here.

Phani Chandra Sekhar
250+
Engineers Trained
Your Instructor

Taught by Someone Actually in the Field

Phani Chandra Sekhar is an AI industry practitioner with 23 years in IT and 3 years deep in the AI world. He builds and leads AI engineering teams by day and trains the next generation of AI engineers by weekend.

"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 has mentored hundreds of engineers throughout his career — from freshers navigating their first roles to senior engineers pivoting into AI leadership.

23+
Years IT · 3 in AI
250+
Students Trained
12
Batches Delivered
PG Cert
AI/ML · IIIT Hyderabad
Every Saturday · Free

Try Before You Commit

Every Saturday at 9 AM IST, Phani runs a free 90-minute AI Engineering workshop. Live coding, real projects, real Q&A. No fluff, no sales pitch — just value.

  • 💻
    Live coding — not slides
  • 🛠️
    Real AI tools & frameworks
  • ❓
    Open Q&A with Phani
  • 🎯
    Different topic every week
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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 — a Senior AI Engineering Manager with 23 years of IT experience who has trained 250+ engineers.
Taught by a practising Senior AI Engineering Manager — not a content creator or academic. Batch size capped at 20 for personal mentorship. 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.
Early bird price ₹35,000 valid until March 1, 2026. Regular price ₹40,000. EMI available at ₹15,000/month for 3 months. Batch 12 starts March 14, 2026 — maximum 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 — two free options. Attend a free 90-minute workshop every Saturday at 9 AM IST to experience Phani's teaching style. Or book a free 30-minute 1:1 AI career consultation to get a personalised roadmap before committing.
Yes. The AI Engineering Foundational Course offers 50+ hours of recordings from 11 completed batches at ₹7,999 (was ₹15,000), with lifetime access, assignments, projects, and a certificate of completion.