AI & Coding for Young Professionals — Learn Python, SQL, Machine Learning & Generative AI Ready to learn Artificial Intelligence (AI), coding, and data skills but don't know where to start? Our beginner-friendly AI & Coding Bootcamp is designed for college students, recent graduates, and working professionals with little to no prior programming or AI experience. In this hands-on bootcamp, you'll learn the foundations of Python programming, SQL, data analysis, machine learning, and generative AI while building practical projects that demonstrate how these technologies are used in the real world. You'll start with the fundamentals of Python programming and problem-solving, then learn how to use SQL and databases to work with real-world data. From there, you'll explore data analysis with Python and Pandas, learn how machine learning models make predictions, and discover how modern generative AI and large language models (LLMs) work. You'll also learn how to work with AI APIs and build your own AI-powered application giving you practical experience beyond simply using tools like ChatGPT. What You'll Learn 🐍 Python Programming for Beginners — Variables, data types, loops, conditions, functions, and programming fundamentals 🗄️ SQL & Databases — Write SQL queries, filter and analyze data, use aggregations, JOINs, CTEs, and introductory window functions 📊 Data Analysis — Work with real datasets using Pandas, explore data, clean data, and uncover insights 🤖 Machine Learning Fundamentals — Understand supervised learning, 🧠 Generative AI & LLMs — Learn how ChatGPT-style AI systems work, including LLMs, tokens, prompting, embeddings, and AI limitations 🔌 AI APIs — Connect Python applications to modern AI models and work with API requests, responses, and JSON 🚀 AI Application Development — Build a practical AI-powered application from the ground up 🎯 AI & Tech Career Roadmap — Understand the skills and learning paths needed to move toward careers in AI.
نظرة عامة
- Understand the definitions and differences between AI and ML.
- Explore the various types of machine learning: supervised, unsupervised, and reinforcement learning.
- Get hands-on experience with data collection, preprocessing, and feature selection.
- Understand the definitions and differences between AI and ML.
- Discuss real-world applications of AI and ML in business.