Course Description
Unlock the Power of Machine Learning & AI – From Core Models to Generative AI
 
This immersive course is designed to help you master both the foundations of machine learning and the advanced world of generative AI. With over 145 lessons and 20+ hours of video content, you’ll move from beginner concepts to building production-ready AI systems used in real-world industries.
 
You’ll gain hands-on experience with Python, TensorFlow, and Keras, while also diving deep into transformers, GPT, ChatGPT, OpenAI’s API, Retrieval-Augmented Generation (RAG), LLM agents, and langchain. By the end, you won’t just understand AI—you’ll know how to apply it to real data problems at scale.
 
Why Take This Course?
Stay Ahead with Generative AI: Learn the latest advancements in GPT, transformers, RAG, and LLM agents.
Industry-Relevant Skills: Curriculum mapped to job listings from top tech firms to keep your skills in demand.
Hands-On Projects: Build practical tools like movie recommenders, bots, and AI-driven classifiers.
Accessible Explanations: We simplify complex concepts into clear, actionable steps—no jargon overload.
Big Data Ready: Use Spark MLLib to handle data at massive scale, preparing you for enterprise challenges.
 
Course Highlights
Python Crash Course to bring you up to speed
Deep Learning models: CNNs, RNNs, MLPs, and self-attention neural networks
Generative AI modules with OpenAI, transformers, langchain, and fine-tuning GPT models
Classical ML models: Decision Trees, Naive Bayes, KNN, clustering, and SVMs
Visualization, regression, and clustering to analyze and present data effectively
Applied reinforcement learning with fun projects like training a Pac-Man bot
Who This Course Is For
Software developers & programmers ready to transition into data science or AI careers
Technologists & engineers curious about how deep learning and generative AI work
Data analysts in finance, healthcare, or other industries looking to upskill with Python and ML techniques
Important: If you have no prior coding experience, start with a Python fundamentals course before enrolling
 
What You’ll Learn
Build and train artificial neural networks with TensorFlow and Keras
Scale machine learning with Apache Spark’s MLLib
Perform deep learning tasks: image classification, sentiment analysis, and data categorization
Make accurate predictions using linear, polynomial, and multivariate regression
Create stunning data visualizations with Matplotlib and Seaborn
Understand reinforcement learning by building a Pac-Man bot
Master algorithms such as K-Means, SVM, KNN, Decision Trees, Naive Bayes, and PCA
Apply train/test splits and K-Fold cross validation to optimize models
Build a movie recommender system with collaborative filtering
Clean and prepare datasets by handling outliers and missing values
Design and evaluate A/B tests using T-Tests and P-Values
Requirements
A desktop or laptop (Windows, Mac, or Linux) capable of running Anaconda 3 or later
Prior coding or scripting experience (Python is ideal)
Basic math proficiency (high school level or above)
 
🚀 Transform your career with one of the most exciting skill sets of the 21st century.
 
Whether you’re aiming for a high-paying AI role (Glassdoor reports an average salary of $159,000) or simply want to future-proof your career, this course equips you with the tools to turn data into insight and AI into action.