AI & Python Development Megaclass

Übersicht

This specialization includes Coursera Coach, offering interactive, real-time conversations to test your knowledge, challenge assumptions, and deepen understanding as you progress. Designed for learners ranging from beginners to advanced, the course covers Python programming and artificial intelligence (AI).

You’ll start with Python basics, learning functions, data structures, and file handling, before advancing to data science tools like NumPy, Pandas, and Matplotlib. The specialization then moves into machine learning, covering topics such as supervised learning, regression models, and advanced techniques like ensemble learning and neural networks.

Interactive projects using real-world datasets and tools like TensorFlow, PyTorch, and scikit-learn provide hands-on experience. Ideal for professionals, aspiring developers, and data scientists, this course is perfect for anyone interested in AI and machine learning.

Prior programming knowledge is helpful, but no AI experience is required. With an intermediate difficulty level, the course emphasizes real-world skills.

By the end of the course, you will master Python programming and build software for AI applications, gain proficiency in data manipulation and visualization using Python libraries, implement machine learning algorithms from linear regression to neural networks, and develop AI models to solve problems with deep learning techniques like CNNs and RNNs.

Lehrplan

• Course 1: Python Programming and Data Science Foundations for AI
• Course 2: Applied Machine Learning and Model Optimization
• Course 3: Deep Learning, NLP, and AI Applications

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Unterrichtet von

Packt - Course Instructors

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Fachgebiete

Data Science