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

Go from Zero to AI Engineer
in 3 Months

48 hours of live training. 24 sessions. 7 production projects. Taught by a Senior AI Engineering Manager — not a YouTuber.

📅 Every Weekend · Sat & Sun
⏱️ 2 Hours per Session
👥 Max 20 Seats
🎓 Certificate Included
🎓 Enroll in Batch 12 — ₹35,000 Try Free Workshop First
A
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500+ 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
500+
Engineers Trained
12
Batches Delivered
48h
Live Training Hours
23+
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Weekly AI Workshop
Every Saturday 9 AM IST. Hands-on AI engineering — live coding, real projects, Q&A with Phani. No commitment, no cost.
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  • Live coding with real AI tools
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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
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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
Python for AI
  • 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
Supervised Learning
  • 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
Working with Large Language Models
  • 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
RAG: Retrieval-Augmented Generation
  • 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
Local LLMs with Ollama 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
MCP: Model Context Protocol 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
Fine-tuning LLMs 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
AI Product Development
  • 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
Capstone Project: Build
  • 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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Phani Chandra Sekhar
500+
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's not a full-time educator who's never shipped a product — he builds and leads AI engineering teams by day and trains the next generation of AI engineers by weekend.

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. AI Pathfinder Hub is the structured extension of what he's always done naturally.

23+
Years IT · 3 in AI
500+
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
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    Open Q&A with Phani
  • 🎯
    Different topic every week
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