Curriculum
- 10 Sections
- 10 Lessons
- 100 Minutes
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- Introduction to AI, ML & Generative AIBuild a strong foundation in modern AI, understand its real-life impact, and get ready to explore powerful generative tools confidently.2
- Python for Machine LearningLearn Python tools like NumPy, Pandas, and Matplotlib for ML, plus data cleaning and EDA basics.2
- Fundamentals of Machine LearningBuild, evaluate, and fine-tune ML models to solve real-world, data-driven problems with confidence.2
- Deep Learning with TensorFlow & PyTorchBuild and train deep learning models using TensorFlow and PyTorch for real-world AI projects.2
- Natural Language Processing (NLP) EssentialsBy the end of this module, you'll be able to process and analyze human language with machine learning, building NLP applications like chatbots and sentiment analyzers.2
- Large Language Models (LLMs)Gain hands-on skills to fine-tune LLMs for custom tasks and build smart, AI-driven language applications.2
- Working with Hugging FaceBuild and deploy real-world NLP apps with ease. By the end, you’ll confidently use Hugging Face to create and share production-ready AI models.2
- LangChain & GenAI ApplicationsCreate and deploy real-world LLM apps that are fast, flexible, and production-ready.2
- GenAI Use Cases & ProjectsLearn to build real-world GenAI projects—chatbots with GPT-4, text summarizers, Q&A systems, and auto content pipelines. Get a quick dive into AI art with Midjourney.2
- Capstone ProjectBy the end, you’ll have a fully-functional AI chatbot, a fine-tuned LLM, and an advanced document search system—perfect for showcasing your skills and completing your AI journey.2