AI & Machine Learning Specialization
Master Supervised/Unsupervised ML, Deep Learning with PyTorch, NLP, Computer Vision & Generative AI from Amazon & Google researchers.
What is this course about?
Artificial Intelligence is revolutionizing every industry. This course moves beyond toy examples to teach you real machine learning, neural networks with PyTorch, transfer learning, NLP, and modern LLM pipelines using LangChain and OpenAI APIs.
Key Course Highlights:
Who is this course for?
- 👉 Developers wishing to pivot into high-paying Machine Learning Engineer roles
- 👉 College students seeking AI research internships and final-year capstone projects
- 👉 Product builders wanting to integrate GenAI and LLMs into web applications
Prerequisites:
- ✓ Basic familiarity with Python programming (if not, we provide a 2-week refresher).
- ✓ School-level math (linear algebra, matrix multiplication, derivatives).
Course Curriculum & Learning Path
7 Detailed Modules • 4 Months (140+ Hours)
Master vectors, matrices, gradients, and data cleaning techniques.
Topics Covered:
Understand the math and code behind core predictive models.
Topics Covered:
Major Projects You Will Build
Stand out in interviews with production-grade portfolio projects — not just basic calculator apps.
RAG-Powered AI Legal Assistant
Answers questions from complex PDF contracts with page citations using LangChain, ChromaDB, and OpenAI embeddings.
Real-Time Object & Face Detection System
Deploys a fine-tuned YOLO model capable of tracking objects from live webcam streams at 60 FPS.
Credit Card Fraud Detection Pipeline
Handles extreme class imbalance to flag suspicious banking transactions with 99.4% precision.
Learn Directly From MNC Veterans
At Logic Wale, we are just starting our brand and our mentors are exclusively from top Multinational Corporations. They bring industry standard best-practices, real architectural case studies, and corporate interview secrets straight to your screen.
EX-AMAZONRohan Verma
Ex-Amazon AI Robotics Lead
💼 7+ Years researching neural network deployment
EX-GOOGLEShraddha Verma
Ex-Google Tech Instructor
💼 6+ Years building ML applications at scale
Tools & Technologies Mastered
Frequently Asked Questions
Q: Do I need a powerful GPU to take this course?
No! All deep learning and model training assignments can be run completely free using Google Colab’s cloud GPUs, which we show you how to configure.
Q: Does this course cover modern Generative AI and LLMs?
Yes! The final 4 weeks are dedicated to Hugging Face, Transformers, Prompt Engineering, RAG (Retrieval Augmented Generation), and LangChain.
Other Popular Flagship Batches
Looking to master more skills? Explore our other live batches mentored by engineers from Google, Microsoft, and Amazon.
Python — Basic to Advanced Masterclass
Master Python from absolute scratch to advanced automation, OOP, APIs & Data Analytics with MNC Engineers.
C & C++ — Basic to Advanced with STL
Master low-level memory, pointers, OOP, and the Standard Template Library (STL) to ace coding competitions & technical rounds.
Java — Complete Mastery (Core to Enterprise)
Master JVM architecture, OOP, Collections Framework, Multithreading & Spring Boot basics from MNC tech leaders.