Start your journey into multi-domain embeddings with foundational concepts and hands-on exercises designed for newcomers.
Basic linear algebra (vectors, matrices)
Python fundamentals; comfort with data structures
Google’s AI Course for Beginners (in 10 minutes)!
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BeginnerDeep Learning Specialization
IntermediateDeep Learning for Computer Vision
AdvancedDive into Deep Learning
IntermediateDeep Learning for Time Series Forecasting
IntermediateGenerative AI Learning Plan for Developers
IntermediateEssential Mathematics for Data Science and Machine Learning: Using R
IntermediateFree Mathematics for Machine Learning Online Certification Course
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IntermediateDeep Learning Nanodegree Program
AdvancedFundamentals of Deep Learning
IntermediateDeep Learning: Getting Started
IntermediateGoogle’s AI Course for Beginners (in 10 minutes)!
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Beginner10 FREE AI Courses for Absolute Beginners in 2025
BeginnerGetting Started with Stable Diffusion in 2024 for Absolute Beginners
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BeginnerDeep Learning Specialization
IntermediateDeep Learning for Computer Vision
AdvancedDive into Deep Learning
IntermediateDeep Learning for Time Series Forecasting
IntermediateGenerative AI Learning Plan for Developers
IntermediateEssential Mathematics for Data Science and Machine Learning: Using R
IntermediateFree Mathematics for Machine Learning Online Certification Course
IntermediateGenerative AI for Developers Learning Path
IntermediateDeep Learning Nanodegree Program
AdvancedFundamentals of Deep Learning
IntermediateDeep Learning: Getting Started
IntermediateFollow these courses in order to complete the learning path. Click on any course to enroll.
Google’s AI Course for Beginners (in 10 minutes)!
Learn How I'd learn ML in 2025 (if I could start over)
Natural Language Processing In 10 Minutes | NLP Tutorial For Beginners | NLP Training | Simplilearn
Learn 99% Of People STILL Don't Know The Basics Of Prompting (ChatGPT, Gemini, Claude)
Generative AI: Prompt Engineering Basics
Learn 10 FREE AI Courses for Absolute Beginners in 2025
Getting Started with Stable Diffusion in 2024 for Absolute Beginners
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Comprehensive deep learning specialization by Andrew Ng. Master neural networks, CNNs, RNNs, and modern deep learning architectures.
Master convolutional neural networks and modern computer vision architectures for image classification and object detection.
An interactive deep learning book with code, math, and discussions. It includes a chapter on training on multiple GP Us, covering both from-scratch implementations and concise implementations using deep learning frameworks.
A comprehensive guide in the form of a book that teaches how to use deep learning methods for time series forecasting with Python.
A 3-hour fundamental course that is part of a learning plan to help grow technical skills for building scalable and secure generative AI applications on AWS.
This course covers key mathematical concepts for machine learning and AI, with a focus on implementation using R.
A free intermediate-level course covering linear algebra, calculus, and probability for machine learning, with an included certificate.
Generative AI for Developers Learning Path
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