Predictive Analytics, Deep Learning, NLP & Generative AI
Master modern data science, statistical modeling, machine learning algorithms, deep learning neural networks, computer vision, and Generative AI applications.
Build Skills That Go Beyond the Classroom
This comprehensive program transforms learners into data scientists and AI engineers. Master Python data analysis, statistical mathematics, machine learning with Scikit-Learn, deep learning with PyTorch and TensorFlow, natural language processing, computer vision, and building production-ready Generative AI systems with LLMs and LangChain.
What You'll Learn
- 01Python for Data Science & Math FoundationsMaster NumPy, Pandas, vector mathematics, probability theory, and exploratory data visualization with Seaborn.
- 02Supervised & Unsupervised Machine LearningImplement regression, decision trees, random forests, XGBoost, clustering, and dimensionality reduction with Scikit-Learn.
- 03Deep Learning & Neural NetworksBuild feedforward networks, CNNs for computer vision, and RNNs/LSTMs using PyTorch and TensorFlow.
- 04Computer Vision & Object DetectionProcess real-time video, perform image segmentation, and train object detection models with OpenCV and YOLO.
- 05NLP, LLMs & Generative AIWork with transformers, Hugging Face pipelines, prompt engineering, RAG architecture, and LangChain.
- 06MLOps & Model DeploymentPackage machine learning models into high-performance REST APIs using FastAPI, Docker, and cloud platforms.
Learn by Building
- End-to-End Customer Churn & Fraud Prediction System
- Real-Time Computer Vision Object Tracking Pipeline
- Retrieval-Augmented Generation (RAG) AI Chatbot with LLMs
- Deployed MLOps Production Dashboard on Cloud
Tools & Technologies Covered
Who Can Join?
This program is designed for individuals looking to build practical skills.
Course Details
*Enquire for online availability
Learning Approach
Learn
Understand the fundamentals and core engineering concepts.
Practice
Apply concepts through structured exercises and tool usage.
Build
Develop practical, real-world projects from scratch.
Prepare
Build technical readiness and prepare for career opportunities.
Where These Skills Can Lead
Potential career directions based on the technical skills you will develop.
Frequently Asked Questions
Q. Do I need a strong math background?
High school mathematics is sufficient. The program systematically teaches the linear algebra, probability, and calculus needed for data science.
Q. Will I learn both Machine Learning and Deep Learning?
Yes, the curriculum covers classical ML algorithms as well as deep neural networks and modern Generative AI.
Q. Will I build projects for my resume?
Yes, you will develop multiple real-world capstone projects including an LLM-powered RAG application.
Ready to Build Your Skills?
Take the next step toward practical, industry-oriented learning with KMS InnovTech. Fill out the form to get started.
Enquire About This Course
Interested in Data Science & AI/ML? Send us a message!