Udemy – AI Mastery: 150+ Projects, AI Algorithms, DeepSeek AI Agents 2025-3

Apr 18, 2025 - 19:19

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AI Mastery: 150+ Projects, AI Algorithms, DeepSeek AI Agents, With tools like ChatGPT, DeepSeek AI, Mistral, Claude (Anthropic AI), Perplexity AI, Google Gemini, Microsoft Copilot, Jasper AI, Meta AI, Chatsonic, GitHub Copilot, YouChat, and Writesonic on the rise everyone needs to put Artificial Intelligence on their Radar. Welcome to the Artificial Intelligence Mastery: Complete AI Bootcamp 2025! This comprehensive Artificial Intelligence Bootcamp is your ultimate guide to becoming a skilled AI Engineer, empowering you to master Artificial Intelligence and apply it to real-world problems. Over an intensive 16-week Artificial Intelligence training program, you’ll gain hands-on experience in building, training, and deploying AI models using the latest AI tools and frameworks.

In this Artificial Intelligence Bootcamp, you’ll start with the fundamentals of Artificial Intelligence, including Python programming, data preprocessing, and an introduction to machine learning. As you progress, you’ll explore advanced Artificial Intelligence concepts such as neural networks, deep learning, natural language processing (NLP), and computer vision. You’ll also master industry-standard AI frameworks like TensorFlow, PyTorch, and Hugging Face, essential for modern AI development and deployment. This AI Bootcamp 2025 focuses heavily on practical AI skills, ensuring that every module comes with real-world projects to strengthen your understanding. Whether you’re an AI beginner or someone looking to expand their AI expertise, this course is designed for you. By the end of the AI Mastery Bootcamp, you’ll have the AI skills, confidence, and hands-on experience to build and deploy AI solutions from scratch. You’ll be fully prepared to tackle industry AI challenges, contribute to AI research, or innovate in your own AI-driven projects.

What you’ll learn

Master Python for Artificial Intelligence: Write efficient Python code, essential for AI and ML programming tasks.
Data Preprocessing Skills for Artificial Intelligence: Prepare, clean, and transform data to enhance model performance.
Statistical Knowledge for Artificial Intelligence: Apply core statistics to understand data patterns and inform decisions.
Build Machine Learning Models for Artificial Intelligence: Develop and fine-tune ML models for classification, regression, and clustering.
Deep Learning Proficiency: Design and train neural networks, including CNNs and RNNs, for image and sequence tasks.
Utilize Transfer Learning: Adapt pre-trained models to new tasks, saving time and resources.
Deploy ML Models with APIs: Create scalable APIs to serve ML models in real-world applications.

Who this course is for

Aspiring AI Engineers: Those looking to build a career in AI and gain hands-on, production-ready skills.
Data Scientists and Analysts: Professionals who want to expand their expertise to include machine learning, deep learning, and model deployment.
Software Engineers: Developers interested in applying programming skills to AI and machine learning projects.
Career Changers: Individuals from non-technical backgrounds with foundational Python knowledge, eager to transition into AI.

Specificatoin of AI Mastery: 150+ Projects, AI Algorithms, DeepSeek AI Agents

Publisher : Udemy
Teacher : Vivian Aranha
Language : English
Level : Beginner
Number of Course : 320
Duration : 60 hours and 40 minutes

Content of AI Mastery: 150+ Projects, AI Algorithms, DeepSeek AI Agents

AI Mastery_ 150+ Projects, AI Algorithms, DeepSeek AI Agents

Requirements

Foundational Math Skills: Understanding of algebra and basic calculus concepts (derivatives, functions) for ML.
Interest in AI and ML: A passion for learning AI, machine learning, and data-driven technologies.
Laptop/Computer: A device capable of running data processing and ML libraries like TensorFlow, PyTorch, and Docker.
Curiosity and Perseverance: Willingness to solve problems, experiment with data, and work through challenges.