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Master Python programming and data analysis skills essential for AI and data science careers in this hands-on course. Learn Python syntax, control flow, functions, and object-oriented programming from the ground up with practical examples. Explore powerful data manipulation libraries including NumPy for numerical computing and Pandas for data wrangling. Create stunning visualizations using Matplotlib and Seaborn to effectively communicate insights from your data analysis. Work with real-world datasets to practice cleaning, transforming, and analyzing data like a professional data scientist. By course completion, you will be able to clean, analyze, and visualize data using Python with confidence. This course requires no prior programming experience, just basic computer skills and a willingness to learn.

Specialize in Generative AI engineering with this advanced bootcamp designed for developers and ML professionals. Master LLM and prompt engineering combined with machine learning essentials for building intelligent systems. Build RAG (Retrieval Augmented Generation) systems that combine language models with external knowledge bases. Learn to fine-tune LLMs and develop AI agents that can reason, plan, and execute complex tasks autonomously. Gain expertise in vector databases, embeddings, and production deployment strategies for scalable AI applications. Graduate job-ready with skills to architect, build, and deploy LLM-based applications for GenAI roles. Python proficiency and basic ML knowledge are required to succeed in this intensive advanced program.