Udemy – AI Engineering Masterclass: From Zero to AI Hero 2024-12

In this course, you’ll start with the basics of AI and explore concepts like Python programming, data preprocessing, and machine learning fundamentals. As you progress through the course, you’ll delve into advanced AI topics like neural networks, deep learning, natural language processing (NLP), and computer vision. You’ll also gain hands-on experience with advanced AI frameworks like TensorFlow, PyTorch, and Hugging Face to build production-ready AI solutions.

What you will learn in the AI ​​Engineering Masterclass: From Zero to AI Hero course

• Build AI models using Python, TensorFlow, and PyTorch to create intelligent systems capable of solving real-world problems
• Pre-process, clean, and analyze complex datasets to ensure high-quality input for training machine learning and artificial intelligence models
• Train, evaluate, and optimize machine learning models for tasks such as regression, classification, and clustering.
• Design, implement, and fine-tune neural networks, including CNNs and RNNs, for advanced AI applications
• Applying natural language processing (NLP) techniques to analyze, interpret, and produce human-like text data
• Use transfer learning to adapt pre-built AI models to new tasks, reducing development time and resources
• Deploy AI models using scalable APIs and containerization tools like Docker for seamless integration into applications
• Monitor the performance of AI models, detect data deviations, and create retraining workflows for ongoing reliability.
• Solving real business and technical challenges using AI-based approaches and intelligent systems
• Developing AI projects from start to finish, from ideation and prototyping to long-term deployment and maintenance

This course is suitable for people who:

• Aspiring AI Engineers: Individuals looking to start a career in AI with practical skills and real-world projects.
• Data scientists and analysts: Professionals looking to expand their expertise by building and deploying AI models.
• Software developers: Programmers eager to integrate AI capabilities into their applications and systems.
• People looking to change careers: People from non-technical backgrounds who are ready to enter the AI ​​industry.
• Graduate students: Students in data science, computer science, or related fields who are seeking practical knowledge of artificial intelligence.
• Tech Entrepreneurs: Founders and senior technology executives looking to AI for product innovation and business growth.
• AI enthusiasts: Anyone interested in AI and looking to build intelligent systems from scratch.
• Business professionals: Leaders seeking to understand AI for strategic decision-making and organizational growth.

Installation Guide

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Subtitles: None

Quality: 1080p