AI & Data4.9 ★ Track Score
AI & Machine Learning Engineering Track
Build intelligent AI models, Neural Networks, and LLM-powered applications.
Duration: 12 Weeks • Practical Internship
Mode: Live Interactive & Mentorship
Batch Size: 20 Seats
LearnBuild Hub Admissions
Industry Aligned Track
Certificate Included:Yes • Verified
Mentorship Support:1-on-1 Code Reviews
Course Overview
This track provides a comprehensive, hands-on path into Machine Learning and Artificial Intelligence. You will engineer intelligent predictive algorithms, work with deep learning frameworks like TensorFlow and PyTorch, and build real AI applications integrated with modern LLM APIs.
Course Curriculum & Modules
Advanced Python Structures & Scientific Computing
Data Cleaning & Transformation with Pandas
Exploratory Data Analysis & Statistical Insights
What You'll Learn
Python Data Science Stack: NumPy, Pandas, Matplotlib, Seaborn
Supervised & Unsupervised Machine Learning Algorithms
Model Evaluation, Feature Engineering & Hyperparameter Tuning
Neural Networks & Deep Learning with PyTorch
Natural Language Processing (NLP) & LLM API Integrations
Deploying Machine Learning Models via FastAPI & Cloud APIs
Meet Your Instructors
Learn from experienced professionals who will guide you throughout the program.
Frequently Asked Questions
Eligibility
- •Students and graduates in Computer Science, Engineering, Mathematics, or Data Analytics
- •Professionals aiming to transition into Artificial Intelligence & Data Science roles
Career Opportunities
AI / Machine Learning EngineerData ScientistComputer Vision DeveloperNLP Engineer
Ready to Start Learning?
Develop practical skills and build real industry portfolio projects.