What You Will Learn

This course covers essential skills in machine learning, deep learning, and natural language processing using Python. You will start with the basics and gradually move to more advanced topics.

• Python Programming: Learn the fundamentals of Python, including data types, control structures, functions, and libraries.
• Data Science: Understand how to collect, analyze, and visualize data using Python libraries like Pandas and Matplotlib.
• Machine Learning: Explore core machine learning concepts such as supervised and unsupervised learning. You will learn about algorithms like linear regression, decision trees, and clustering techniques.
• Deep Learning: Discover the principles of deep learning. You will work with neural networks and frameworks like TensorFlow or PyTorch.
• Natural Language Processing (NLP): Learn how to process and analyze textual data. You will study techniques such as tokenization, sentiment analysis, and language modeling.
• Langchain: Understand how to build applications that leverage language models in a structured manner.
• RAG Pipelines: Learn about retrieval-augmented generation pipelines and how they enhance model performance.

You will practice coding through hands-on projects. Each topic will be explained step by step to ensure clarity. You will gain practical experience as you work through real-world examples.