Master advanced model training concepts with expert-level content and cutting-edge techniques.
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Strong foundation in linear algebra, calculus, and optimization
Expert Python skills; experience with ML frameworks
Transformers, explained: Understand the model behind GPT, BERT, and T5
AdvancedStatistical Learning
AdvancedNatural Language Processing Specialization
AdvancedState-of-the-Art Machine Learning Papers Implementation
AdvancedTraining an AutoML Video Classification Model
IntermediateAdvanced Predictive Modeling: Mastering Ensembles and Metamodeling
AdvancedAI-Powered Cybersecurity: Advanced Threat Detection & Response Training Course
AdvancedTransformers, explained: Understand the model behind GPT, BERT, and T5
AdvancedStatistical Learning
AdvancedNatural Language Processing Specialization
AdvancedState-of-the-Art Machine Learning Papers Implementation
AdvancedTraining an AutoML Video Classification Model
IntermediateAdvanced Predictive Modeling: Mastering Ensembles and Metamodeling
AdvancedAI-Powered Cybersecurity: Advanced Threat Detection & Response Training Course
AdvancedFollow these courses in order to complete the learning path. Click on any course to enroll.
Learn Transformers, explained: Understand the model behind GPT, BERT, and T5
Complete natural language processing specialization covering transformers, attention mechanisms, and modern NLP techniques.
State-of-the-Art Machine Learning Papers Implementation
A hands-on lab from Google Cloud that walks you through the process of creating a video dataset, training an AutoML video classification model, and deploying it for batch predictions using Vertex AI.
This course covers advanced techniques for creating more accurate predictive models using ensembles and metamodeling.
An instructor-led training aimed at intermediate-to-advanced cybersecurity professionals, focusing on implementing advanced AI algorithms for real-time threat detection and response.
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Master advanced model training concepts with expert-level content and cutting-edge techniques.
You'll work through Master cutting-edge techniques and research; Handle complex, production-scale systems; Contribute to open source and research; Build and train machine learning models from scratch; Understand supervised, unsupervised, and reinforcement learning paradigms; Evaluate model performance using industry-standard metrics.
About 150 hours of study across 7 courses — and you can go at your own pace.
It's pitched at advanced level, so a little prior familiarity helps.
7 curated courses, sequenced from foundational to advanced.
Around $70 total if you buy every course — but many include free audit options.
Enroll in this path to track your progress and stay motivated.