This course introduces key concepts and methods in Natural Language Processing (NLP), the subfield of data science and artificial intelligence that deals with computer interaction with human language.

Learn how to apply reinforcement learning to master Blackjack. Build an AI agent capable of making optimal decisions based on probability and strategies to maximize winnings in the game.

In this course, you learn to automate Windows applications with IBM RPA. You become familiar with the windows and controls concepts, and learn to set the basic commands by using the recorder tool.

Navigate and use the extensive repository of models and datasets available on the Hugging Face Hub.

Explore the latest techniques for running the Llama LLM locally, fine-tuning it, and integrating it within your stack.

Use generative AI to create an effective sales outreach email

Learn how to write effective prompts for Llama 3 models. Master the techniques for generating high-quality responses and optimizing interactions with advanced language models.

Become a pro at writing effective prompts for LLAMA2 models. Master the art of crafting high-quality prompts that elicit accurate and contextually relevant responses from language models.

Create a personalized job application coach using Large Language Models (LLMs). Learn how to guide job seekers through tailored application processes with AI-driven suggestions and feedback.

Learn to build a YouTube video summarizer and Q&A system using Granite, RAG, and LangChain. Automate video content analysis and generate insightful summaries and answers with AI.

Understand the concepts of zero-shot and few-shot learning techniques for building robust machine learning models.

Dive into the fundamentals of classification in machine learning. Learn how to classify data into different categories using various techniques and algorithms for real-world applications.