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Introduction to AI (Intermediate)
This course dives deeper into the concepts and techniques of …
What you'll learn
Get hands-on experience with gathering training data
Explore AI-driven decision-making processes and the complex math behind each choice
Evaluate robust safety measures and advanced jailbreaking practices
Discover more uses for front end, API connections, and third-party augmentation
Learn daily uses for AI applications for personal and professional development
Introduction to AI (Beginner)
This course provides a comprehensive overview of the fundamental concepts …
What you'll learn
Understand the history and current state of the industry
Develop the ability to engineer prompts properly and navigate GPT and Claude
Explore how different AI models are built and work in their most basic form
Analyze the ethical implications and legal complexities of AI technologies and potential problems looking forward
Discuss where AI may be heading in the future
Machine Learning Fundamentals
Machine Learning Fundamentals offers an in-depth exploration of machine learning, …
What you'll learn
Understand the key algorithms used in machine learning and their applications.
Differentiate between supervised, unsupervised, and reinforcement learning.
Explore different machine learning techniques in live demos.
Apply statistical methods to analyze and interpret data in the context of machine learning.
Evaluate machine learning models and understand the principles of performance metrics.
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