Master advanced aws concepts with expert-level content and cutting-edge techniques.
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Depends on ML workload complexity
Expert in cloud-native development and DevOps
Follow 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.
Gain insights into AWS Bedrock and LL Ms to position yourself at the forefront of AI innovation. You will build and deploy three AI projects using foundation models from a single API.
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See the side-by-side breakdown and our pick by scenario
See the side-by-side breakdown and our pick by scenario
Master advanced aws 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; Deploy ML models on cloud platforms; Use managed ML services effectively; Design scalable ML architectures.
About 100 hours of study across 4 courses — and you can go at your own pace.
It's pitched at advanced level, so a little prior familiarity helps.
4 curated courses, sequenced from foundational to advanced.
Around $20 total if you buy every course — but many include free audit options.
Enroll in this path to track your progress and stay motivated.