Master ML, DL, NLP, GenAI & MLOps with real-world projects.
Get practical AI skills. Build and deploy fast.
Course fee₹54,999
Duration9 months · 35 wks
FormatLive, mentor-led
Projects7+ real projects
Why Choose This Course?
Master the complete AI development cycle from ML to MLOps and GenAI with industry-relevant tools.
In-Depth Curriculum
From core Machine Learning foundations to Generative AI and MLOps, the curriculum is built for mastery.
Project-Driven
Apply what you learn through real-world, high-impact projects that showcase your practical skills.
Career-Ready
Build a professional portfolio, get one-on-one mentorship, and prepare for top AI roles in the industry.
Tech-Stack Aligned
Learn the same tools used by engineers at Google, Meta, and OpenAI—including MLflow, Hugging Face, and more.
Hands-on & Practical
No fluff—only deep, applicable knowledge through immersive learning, practice, and deployment.
9-Month AI/ML + GenAI Curriculum
Master Python, ML, DL, NLP, GenAI, and MLOps — step-by-step
Python for Data Science & Math Basics
- Week 1Python Essentials – NumPy, Pandas
- Week 2Data Wrangling, Data Cleaning
- Week 3Data Visualization (Matplotlib, Seaborn)
- Week 4Statistics and Probability for DS
Core Machine Learning
- Week 5Supervised Learning – Regression
- Week 6Classification Techniques (SVM, KNN, DT)
- Week 7Unsupervised Learning – Clustering, PCA
- Week 8Model Evaluation & Hyperparameter Tuning
Advanced Machine Learning
- Week 9Ensemble Models (RF, XGBoost, LightGBM)
- Week 10Feature Engineering and Pipelines
- Week 11Time Series Analysis
- Week 12Model Deployment (Flask + Heroku)
SQL, Big Data & Data Engineering
- Week 13SQL for DS (Joins, CTEs, Windows)
- Week 14Data Warehousing – ETL, Snowflake
- Week 15Apache Spark, PySpark Basics
- Week 16Airflow for Workflow Automation
Deep Learning
- Week 17Neural Networks, Backpropagation
- Week 18CNNs for Image Classification
- Week 19RNNs, LSTMs for Sequential Data
- Week 20TensorFlow vs PyTorch
NLP & Text Mining
- Week 21Text Preprocessing, TF-IDF
- Week 22Word Embeddings (Word2Vec, GloVe)
- Week 23NER & Topic Modeling
- Week 24BERT, Hugging Face Transformers
Generative AI
- Week 25Intro to GenAI & LLMs
- Week 26GPT Architecture, Tokenization
- Week 27Fine-tuning LLMs
- Week 28Prompt Engineering, LangChain, RAG
MLOps & Cloud
- Week 29CI/CD in ML – MLflow, DVC
- Week 30Docker & Kubernetes
- Week 31AWS/GCP – S3, EC2, Vertex AI
- Week 32Monitoring, Logging, Auto Scaling
Capstone & Interview Prep
- Week 33Resume, GitHub, Portfolio Setup
- Week 34Mock Interviews & DS Case Studies
- Week 35–36Final Capstone Project Presentation
Job-ready with placement support
Mock interviews, referrals, resume and portfolio reviews, and guidance until you land a real tech role.
The stack you’ll master
Industry-relevant tools you’ll use hands-on in live classes and projects.
Projects you’ll build
Hands-on projects that strengthen your skills and showcase your job-ready experience.
EDA & Prediction on Airbnb Dataset
Data Cleaning, Exploration & Regression
Stock Price Forecasting with LSTM
Time Series Forecasting with Deep Learning
Fake News Detection using NLP
Text Classification using TF-IDF & ML
Image Classifier for Disease Detection
CNN for Medical Image Classification
Chatbot with OpenAI API
Build & Deploy an LLM-powered Chatbot
MLOps Pipeline for ML Model Deployment
CI/CD, MLflow, Docker, FastAPI
Custom Fine-tuned LLM for Document QnA
Capstone: RAG, LangChain, Vector DB
Built for where you are today
Whether you are starting from scratch or switching careers, this program is designed to get you job-ready.
Career support included
- Mock interviews
- Job referrals
- Resume & LinkedIn reviews
- Portfolio feedback
Graduates & Post-Graduates
Aiming for a Data Science or AI career? This course builds your foundation and portfolio from day one.
Working Professionals
Engineers, analysts, or developers looking to transition into Data Science, ML, or AI roles will benefit deeply.
ML & AI Aspirants
Designed for future ML Engineers, AI Developers, and researchers building real-world intelligent systems.
Python Learners
If you know basic Python and are motivated to learn, this course gives you the practical skills to thrive in AI.
What our students say
Before this course, I only knew basic Python. Now I can train deep learning models and deploy them to the cloud with confidence.
I came from a non-technical background, but the structured learning made it easy. The chatbot project was my favorite part!
The tools covered here—MLflow, LangChain, Hugging Face—are exactly what I needed to boost my AI skills.
The capstone project gave me the confidence to present my work publicly. Great mix of theory and practice.
Learning Docker, Kubernetes, and Airflow along with AI was a huge advantage for me. This course is truly all-in-one.
Before this course, I only knew basic Python. Now I can train deep learning models and deploy them to the cloud with confidence.
I came from a non-technical background, but the structured learning made it easy. The chatbot project was my favorite part!
The tools covered here—MLflow, LangChain, Hugging Face—are exactly what I needed to boost my AI skills.
The capstone project gave me the confidence to present my work publicly. Great mix of theory and practice.
Learning Docker, Kubernetes, and Airflow along with AI was a huge advantage for me. This course is truly all-in-one.
Every week’s project felt like working on a real company assignment. I now use these skills for freelance AI projects worldwide.
The NLP module was incredible—TF-IDF, BERT, Transformers. The hands-on Hugging Face labs were amazing!
The structured content, mock interviews, and portfolio review really boosted my confidence.
The instructors explain concepts with real-world examples, making even tough topics easy to grasp.
The Generative AI section was a goldmine—fine-tuning LLMs and building RAG pipelines was mind-blowing.
Every week’s project felt like working on a real company assignment. I now use these skills for freelance AI projects worldwide.
The NLP module was incredible—TF-IDF, BERT, Transformers. The hands-on Hugging Face labs were amazing!
The structured content, mock interviews, and portfolio review really boosted my confidence.
The instructors explain concepts with real-world examples, making even tough topics easy to grasp.
The Generative AI section was a goldmine—fine-tuning LLMs and building RAG pipelines was mind-blowing.
Questions? We’ve got answers.
Everything about the Advanced Data Science course, classes, certification and placement support.
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Go Beyond Data. Master AI. Launch Your Career.
From foundational AI to advanced GenAI – all in one program.
Course fee ₹54,999 · Prefer email? info@techknowledgehub.org