Build on your existing knowledge with intermediate edge vector systems techniques and real-world applications.
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Probability, linear algebra, attention mechanisms
Python data science skills; experience with NLP libraries
But what is a neural network? | Deep learning chapter 1
IntermediateThe Essential Main Ideas of Neural Networks
IntermediateTransformers Explained - How transformers work
IntermediateAI, Machine Learning, Deep Learning and Generative AI Explained
IntermediateIllustrated Guide to Transformers Neural Network: A step by step explanation
IntermediateHow AI Image Generators Work (Stable Diffusion / Dall-E) - Computerphile
IntermediateTransformer Neural Networks - EXPLAINED! (Attention is all you need)
IntermediateLearn Machine Learning Like a GENIUS and Not Waste Time
IntermediateAll Machine Learning algorithms explained in 17 min
IntermediateNatural Language Processing: Crash Course AI #7
IntermediateApplied Artificial Intelligence: Speech Recognition Systems
AdvancedBut what is a neural network? | Deep learning chapter 1
IntermediateThe Essential Main Ideas of Neural Networks
IntermediateTransformers Explained - How transformers work
IntermediateAI, Machine Learning, Deep Learning and Generative AI Explained
IntermediateIllustrated Guide to Transformers Neural Network: A step by step explanation
IntermediateHow AI Image Generators Work (Stable Diffusion / Dall-E) - Computerphile
IntermediateTransformer Neural Networks - EXPLAINED! (Attention is all you need)
IntermediateLearn Machine Learning Like a GENIUS and Not Waste Time
IntermediateAll Machine Learning algorithms explained in 17 min
IntermediateNatural Language Processing: Crash Course AI #7
IntermediateApplied Artificial Intelligence: Speech Recognition Systems
AdvancedFollow these courses in order to complete the learning path. Click on any course to enroll.
But what is a neural network? | Deep learning chapter 1
The Essential Main Ideas of Neural Networks
Transformers Explained - How transformers work
Learn AI, Machine Learning, Deep Learning and Generative AI Explained
Illustrated Guide to Transformers Neural Network: A step by step explanation
How AI Image Generators Work (Stable Diffusion / Dall-E) - Computerphile
Transformer Neural Networks - EXPLAINED! (Attention is all you need)
Learn Machine Learning Like a GENIUS and Not Waste Time
All Machine Learning algorithms explained in 17 min
Natural Language Processing: Crash Course AI 7
This course teaches the fundamentals of modern Automatic Speech Recognition (ASR) systems. You will learn about the components of ASR, the theory behind speech recognition, and build your own speech recognition system using Python. The course is part of the 'Advanced and Applied AI on Microsoft Azure' Expert Track.
Explore related content to expand your skills beyond this learning path.
Build on your existing knowledge with intermediate edge vector systems techniques and real-world applications.
You'll work through Deepen your understanding with advanced concepts; Build more complex real-world projects; Learn optimization and best practices; Process and tokenize text data effectively; Build text classification and sentiment analysis models; Implement named entity recognition (NER) systems.
About 3 hours of study across 11 courses — and you can go at your own pace.
It's pitched at intermediate level, so a little prior familiarity helps.
11 curated courses, sequenced from foundational to advanced.
Around $59 total if you buy every course — but many include free audit options.
Enroll in this path to track your progress and stay motivated.