IMS Course

⚡ FLAT 20% OFF + Free Demo
High-Speed NVIDIA GPU Lab Access • Chennai & Live Online

Launch Your 16 LPA* AI & Generative AI Career

1-to-1 Personal Training • Machine Learning, Deep Learning, GenAI, NLP & Computer Vision

Master Python, Machine Learning, AI algorithms, and real enterprise capstone projects with 1-to-1 personalized mentorship, Free Demo Sessions, Mock Interviews, and 100% Placement Assistance.

100% Placement Assistance

AI System Design & Live Coding Mock Rounds

1-to-1 Personal Training

Senior AI Research Engineer & GenAI Architect

No-Cost EMI / Split Payment

0% Interest Easy Monthly Installments

Salary Upto 12 LPA*

90-Day AI & GenAI Career Accelerator

Book Free Demo & Claim Offer

Get personalized career roadmap, batch timings & EMI details

    Personalized AI Mentoring Built for High-Impact Careers

    We combine individualized 1-on-1 mentoring with dedicated high-speed cloud GPU lab access, real commercial AI capstones, and bilingual instruction to guarantee career success.

    1-to-1 Personal Training

    Individualized 1-on-1 code reviews, PyTorch model debugging, and custom RAG pipeline troubleshooting with senior AI leads.

    Online & Offline Classes

    Choose interactive in-person AI lab training at our Chennai Academy or join live interactive online sessions with screen sharing.

    Weekdays & Weekend Batches

    Flexible schedules tailored for college students and working software engineers. Complete session recordings and codebase access.

    Tamil & English Medium

    Bilingual instruction ensures complex mathematical concepts (Backpropagation, Attention, Vector Embeddings) are 100% crystal clear.

    Free Live AI Demo Class

    Attend a zero-cost live AI demo session. Build a real RAG chatbot or computer vision detector live with the instructor before paying.

    Dedicated GPU Cloud Lab

    Train deep neural networks and fine-tune open-source LLMs (LLaMA 3, Mistral) on high-speed NVIDIA cloud GPUs (A100 / T4).

    Mock System Design & Coding

    Rigorous live machine learning coding challenges, generative AI system design whiteboard rounds, and behavioral HR mock interviews.

    Live Portfolio & Resume Prep

    Publish live AI spaces on Hugging Face, build GitHub showcase repositories, and get an ATS-optimized AI Engineer resume makeover.

    Master All Core Pillars of Modern Artificial Intelligence

    Industry-aligned tracks covering statistical machine learning, deep neural architectures, LLMs, vision algorithms, and autonomous multi-agent systems.

     

    Machine Learning (ML)

    Predictive Modeling & Statistical ML: Master Supervised & Unsupervised algorithms, Random Forest, XGBoost, Feature Engineering, Hyperparameter Optimization (Optuna), and Cross-Validation metrics.

    Deep Learning (DL)

    Neural Network Architectures: PyTorch & TensorFlow 2.x, Multi-Layer Perceptrons, Backpropagation, Convolutional Neural Networks (CNNs), LSTMs, AdamW optimizers & GPU-accelerated computing.

    Generative AI & LLMs

    Next-Gen Language Models: Master GPT-4o, Claude, LLaMA 3, LangChain, LlamaIndex, Vector Databases (Pinecone, Chroma), Enterprise RAG Pipelines & Parameter-Efficient LoRA/QLoRA Fine-Tuning.

    Natural Language Processing (NLP)

    Transformer & Text Intelligence: Tokenization, Word Embeddings, Multi-Head Self-Attention mechanisms, Hugging Face Transformers, BERT, RoBERTa, Sentiment Analysis & Text Summarization.

    Computer Vision (CV)

    Visual Intelligence & Edge AI: OpenCV image processing, Real-Time Object Detection (YOLOv8 & YOLOv10), Image Segmentation (Mask R-CNN), Vision Transformers (ViT) & TensorRT edge camera analytics.

    Autonomous AI Agents & MLOps

    Multi-Agent Swarms & Deployment: LangGraph state machines, CrewAI multi-agent swarms, Tool calling, FastAPI microservices, Docker, Kubernetes, MLflow tracking & AWS SageMaker deployment.

    🎉 Unlock Flat 20% OFF AI & Generative AI Course Fee!

    Includes Free Demo Session, 1-to-1 GPU Lab Mentoring & 0% Interest No-Cost EMI.

    Is This AI & Generative AI Course Right for You?

    Structured from fundamentals to cutting-edge autonomous agents and production MLOps deployment.

    Software & Python Developers

    Upgrade from traditional backend/web development to high-paying Generative AI, RAG pipelines, and LLM-powered applications.

    Data Analysts & BI Professionals

    Step up from reporting into predictive Machine Learning algorithms, Deep Learning models, and natural language analytics.

    College Students & Fresh Graduates

    Any degree (B.E, B.Tech, BCA, MCA, B.Sc, M.Sc). Build a verified portfolio on Hugging Face & GitHub to land high-paying AI jobs.

    Non-AI Engineers & Tech Leads

    Master AI architecture, open-source model fine-tuning, and MLOps deployment to lead modern AI transformations.

    Industry Aligned Syllabus

    What Will You Master to Land 16 LPA* Roles?

    8 outcome-driven modules covering classical ML, deep neural nets, LLMs, LangChain RAG, Computer Vision, and MLOps.

    01

    Python for AI, Linear Algebra & Statistical Foundationse

    +
    01 Advanced Python for AI: OOPs, Generators, Decorators & Multiprocessing.
    02 NumPy vectorization, matrix multiplications & multidimensional tensors.
    03 Pandas data wrangling, cleaning & exploratory data analysis (EDA).
    04 Linear Algebra: Eigenvectors, Singular Value Decomposition (SVD) & Matrix Inverses.
    05 Multivariable Calculus: Partial Derivatives, Gradients & Chain Rule.
    06 Probability Distributions, Bayes Theorem & Hypothesis Testing.
    02

    Machine Learning Algorithms & Feature Engineering

    +
    01 Supervised Learning: Linear & Logistic Regression, Decision Trees.
    02 Ensemble Methods: Random Forests, AdaBoost, Gradient Boosting & XGBoost.
    03 Unsupervised Learning: K-Means, DBSCAN & Principal Component Analysis (PCA).
    04 Variance, standard deviation & quartile range.
    05 Hyperparameter Optimization using Optuna, GridSearchCV & RandomizedSearchCV.
    06 Model Evaluation: ROC-AUC, F1-Score, Precision-Recall & Confusion Matrix.
    03

    Deep Learning & Neural Network Architectures (PyTorch)

    +
    01 Perceptrons, Multi-Layer Perceptrons (MLP) & Activation Functions (ReLU, GELU).
    02 Backpropagation, Loss Functions (Cross-Entropy, MSE) & Optimizers (SGD, AdamW).
    03 PyTorch Tensor Operations, Autograd & Custom Dataset Loaders.
    04 Regularization: Dropout, Batch Normalization, Layer Normalization & Weight Decay.
    05 Recurrent Neural Networks (RNN), LSTMs & GRUs for Sequence Data.
    06 GPU Acceleration with CUDA, Mixed Precision (AMP) & Distributed Training.
    04

    Natural Language Processing (NLP) & Transformers

    +
    01 Text Preprocessing: Tokenization, Stemming, Lemmatization & SpaCy Pipelines.
    02 Word Embeddings: Word2Vec, GloVe, FastText & Positional Encoding.
    03 Transformer Architecture: Scaled Dot-Product & Multi-Head Self-Attention.
    04 BERT & RoBERTa for Classification, Named Entity Recognition (NER) & QA.
    05 Encoder-Decoder Models: T5, BART for Text Summarization & Translation.
    06 Hugging Face Datasets, Pipelines & Model Hub integration.
    05

    Computer Vision (CV) & Real-Time Object Detection

    +
    01 Image Processing with OpenCV: Thresholding, Edge Detection (Canny) & Contours.
    02 Convolutional Neural Networks (CNN): Convolutions, Pooling & ResNet Architectures.
    03 Transfer Learning with Torchvision (ResNet50, EfficientNet, MobileNet).
    04 Real-Time Object Detection with YOLOv8 & YOLOv10 on Custom Datasets.
    05 Image Segmentation (Mask R-CNN, UNet) & Vision Transformers (ViT).
    06 Edge Video Stream Analytics & TensorRT Optimization.
    06

    Generative AI, Large Language Models (LLMs) & RAG Pipelines

    +
    01 Foundational LLMs: GPT-4o, Claude 3.5, LLaMA 3, Mistral & Prompt Engineering.
    02 Vector Embeddings & Semantic Search with Cosine Similarity.
    03 Vector Databases: Pinecone, ChromaDB, Qdrant & Hybrid BM25 Retrieval.
    04 Production Retrieval-Augmented Generation (RAG) using LangChain & LlamaIndex.
    05 Fine-Tuning Open-Source LLMs using Parameter-Efficient LoRA & QLoRA.
    06 RAG Evaluation Frameworks: RAGAS, TruLens & Context Relevance metrics.
    07

    Autonomous AI Agents, Multi-Agent Swarms & MLOps

    +
    01 Agentic AI Architectures: ReAct, Plan-and-Solve & Tool Calling.
    02 Building State Machines with LangGraph & Multi-Agent Swarms with CrewAI.
    03 Packaging AI Models with FastAPI, Async Endpoints & Docker Containers.
    04 Experiment Tracking & Model Registry with MLflow & DVC.
    05 Cloud Deployment on AWS SageMaker / GCP Vertex AI & Kubernetes.
    06 Continuous Model Monitoring, Data Drift Detection & Automated Retraining.
    08

    AI System Design, HuggingFace Portfolio & Placement Masterclass

    +
    01 AI System Design: Designing Recommendation Engines, Search & LLM Gateways.
    02 Publishing Live AI Spaces & Model Cards on Hugging Face Hub.
    03 ATS-optimized AI Engineer resume makeover with GitHub project links.
    04 1-on-1 AI technical coding mock interviews & system design drills.
    05 Direct recruiter placement drives with AI startups & MNCs.
    06 Salary negotiation masterclass to command 16 LPA* packages.
    Download Detailed AI 8-Module Syllabus (PDF)

    Get complete code architecture templates, project datasets, and hiring partner lists on WhatsApp.

    Where Can AI & Generative AI Take You?

    AI engineers command the highest compensation packages in the global technology industry across Google, Microsoft, Amazon, NVIDIA, global banks, and tech startups.

    Accelerate Your AI Career: Train foundational models on high-speed GPU clusters, build autonomous agent swarms, and command top compensation packages in cutting-edge AI labs.

    * Salary figures depend on individual interview performance, prior qualifications, and hiring partner bands.

    The 90-Day Blueprint From Zero to AI Engineer

    1

    Step 1 — Foundation

    Master Python, Linear Algebra, Tensors, and Statistical ML Algorithms.

    2

    Step 2 — Deep Learning

    Train custom neural networks, CNNs & LSTMs with PyTorch on cloud GPUs.

    3

    Step 3 — NLP & Vision

    Build Transformer attention models & real-time YOLOv8 object detectors.

    4

    Step 4 —Generative AI

    Deploy production RAG pipelines, fine-tune LLMs & build autonomous agents.

    5

    Step 5 — Get Hired

    MLOps deployment, system design mock rounds & direct placement drives.

    Build 4 Production AI Systems That Impress Recruiters

    Graduate with a published GitHub repository and live Hugging Face spaces solving real enterprise challenges.

    Generative AI & RAG

    Enterprise Multi-Agent RAG Assistant with Hybrid Vector Search

    Develop a production-ready enterprise assistant that ingests 50,000+ internal documents, performs hybrid BM25 + dense vector search in Pinecone, and uses LangGraph multi-agent reflection loops.

    LangChain
    LangGraph
    Pinecone
    LLaMA 3
    Performance:
    88.4% Retention Accuracy
    Computer Vision

    Real-Time Multi-Camera Defect Detection & Edge Vision System

    Train a custom YOLOv8 / YOLOv10 object detection and Mask R-CNN segmentation model on an industrial manufacturing dataset, optimized with TensorRT for 60 FPS real-time edge processing.

    OpenCV
    YOLOv8
    PyTorch
    TensorRT
    Accuracy:
    99.2% mAP @ 60 FPS
    Fine-Tuning LLMs

    Domain-Specific Medical / Legal LLM Fine-Tuned with LoRA & QLoRA

    Fine-tune Mistral-7B / LLaMA-3-8B on domain-specific medical diagnoses and clinical guidelines using Parameter-Efficient LoRA on PyTorch GPUs with quantized 4-bit weights.

    PyTorch
    HuggingFace PEFT
    QLoRA
    BitsAndBytes
    Optimization:
    75% Less VRAM Consumption
    Production MLOps

    End-to-End MLOps Predictive Pipeline on AWS SageMaker & FastAPI

    Build an end-to-end automated fraud detection pipeline: Continuous training with MLflow tracking, Docker containerization, automated GitHub Actions CI/CD, and live SageMaker endpoint autoscaling.

     
    FastAPI
    Docker
    MLflow
    AWS SageMaker
    Production Scope:
    Automated CI/CD Retraining

    Real Learners. Real AI Engineering Transformations.

    Arvind R., Generative AI Engineer Placed via iMMEK Placement Cell

    “I was a Python backend developer. The 1-to-1 mentoring in Generative AI, LangChain RAG architecture, and fine-tuning with LoRA helped me switch to a Generative AI Engineer role at 14 LPA!”

    Pavithra S., Computer Vision Engineer Placed via iMMEK Placement Cell

    “The Computer Vision and Deep Learning projects using YOLOv8 and PyTorch gave me hands-on edge AI experience. Explaining things in Tamil and English made deep neural math super intuitive.”

    1-to-1 Personal Training.

    High-Speed NVIDIA Cloud GPU Lab

    Tamil & English Medium.

    HuggingFace & GitHub Portfolios.

    0% Interest No-Cost EMI.

    Frequently Asked Questions

    What prerequisites do I need to learn Artificial Intelligence & Generative AI?

    Basic programming logic in any language or Python basics is helpful. If you are a beginner, Module 01 covers foundational Python for AI, Linear Algebra, and Statistics from absolute scratch with 1-to-1 mentor support.

    Do I get access to GPUs for training Deep Learning and LLM models?

    Yes! Every student gets dedicated high-speed cloud GPU lab access (NVIDIA A100 / T4) to train custom PyTorch neural networks, YOLO object detection models, and fine-tune open-source LLMs (LLaMA 3, Mistral) without needing expensive personal hardware.

    Can I attend a Free Live AI Demo Class before enrolling?

    Yes! You can attend a Free Live AI Demo Class (Online or Offline at our Chennai center) to see a live RAG chatbot or computer vision model built live from scratch and speak directly with the instructor before paying.

    Are classes taught in Tamil or English?

    We provide bilingual instruction (Tamil & English) as well as dedicated English-only batches. Complex neural math (Backpropagation, Attention mechanisms, Vector spaces) is explained simply in Tamil while training you to crack interviews in professional English.

    What are the options for Online vs Offline (Classroom in Chennai)?

    You can choose physical classroom training with high-speed workstations at our Chennai Academy, interactive live online classes with screen sharing, or a flexible hybrid combination of both.

    What are the No-Cost EMI and Split Payment terms?

    We partner with leading financial institutions to provide 0% interest No-Cost EMI options and flexible installment plans, allowing you to pay monthly without any financial burden or extra interest charges.

    Ready to Launch Your 16 LPA* AI & GenAI Career?

    Seats are strictly limited to ensure 1-on-1 personalized mentorship, dedicated cloud GPU access, and guaranteed placement assistance. Lock in your 20% Flat Discount today.
    ⚡ 1-to-1 Training • Online & Offline (Chennai) • Weekday & Weekend Batches • Tamil & English Medium

    Quick Callback & Free Demo

    Lock your scholarship seat before the batch fills up

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