Description
AI Mastery Course 2025: From Beginner to Breakthrough Expert. This comprehensive course teaches the fundamentals of artificial intelligence in simple language and explores its practical applications in various industries. You will learn the basic concepts of artificial intelligence, the distinction between traditional and generative AI, and its evolution. Then, you will dive into the AI engine and learn about functional mechanisms such as perceptrons and data exploration techniques. This course covers the entire family of machine learning and introduces you to a variety of learning approaches including supervised, unsupervised, and reinforcement learning, as well as regression, classification, feature engineering, and hyperparameter tuning techniques. In the deep learning section, you will work with neural networks, their structure, and their role in computer vision. Model evaluation with various metrics and interpretation of the confusion matrix are taught. The course includes analysis of real-world scenarios in areas such as healthcare, sports, and cybersecurity. A comprehensive foundational project integrates all learning into a practical problem-solving exercise. Finally, the basics of AI ethics and prompt engineering skills for effectively interacting with large language models are also part of the course. The course is designed for all interested parties, with no technical background required.
What you will learn
- Distinguish between types of artificial intelligence and understand their real-world applications in different industries.
- Master the full AI project cycle from data mining to model deployment.
- Understanding supervised learning, unsupervised learning, and reinforcement learning approaches.
- Build and evaluate neural networks, convolutional neural networks (CNNs), and transformers for advanced artificial intelligence applications.
- Applying performance metrics to evaluate the accuracy, precision, recall, and F1 score of the model.
- Addressing ethical considerations and developing strategies for responsible implementation of AI.
- Analysis of applications of artificial intelligence in healthcare, sports analytics and cybersecurity.
- Create AI solutions through hands-on labs and a final comprehensive project (Capstone Project).
- Mastery of Prompt Engineering techniques for effective communication with Large Language Models.
- Develop in-demand and future-proof AI skills that enhance participants’ career prospects.
This course is suitable for people who:
- Professionals looking to future-proof their careers by adding essential AI skills to their skill set, regardless of technical background.
- Students and academics interested in understanding the fundamentals and applications of artificial intelligence in various fields.
- Entrepreneurs and business managers looking to use AI for innovation, efficiency, and competitive advantage.
- Curious learners who want to understand the technology transforming our world through a practical and applied approach.
Course details
- Publisher: Udemy
- Instructor: Talent loom , Sarthak Sathu
- Training level: Beginner to advanced
- Training duration: 2 hours and 36 minutes
- Number of lessons: 38
Course topics
Prerequisites for the AI Mastery Course 2025: From Beginner to Breakthrough Expert
- No prior experience with AI or programming is needed, but an eagerness to learn and explore new technologies is a plus!
Course images
Sample course video
Installation Guide
After Extract, view with your favorite player.
Subtitles: None
Quality: 720p
Download link
Downloadly
Rapidgator link
File(s) password: www.downloadly.ir
File size
2.3 GB
