The rise of Artificial Intelligence (AI) is being tapped into by various enterprises, thanks to the innovation it presents. AWS (Amazon Web Services) offers substantial AI solutions and services, and carries a series of courses to enhance an individual’s aptitude in such technologies. This report uncovers the leading AI courses by AWS that instill learners with a range of skills starting from the basics to advanced-level methods.
The course “Machine Learning Terminology and Process” offers an introduction to fundamental machine learning concepts, outlining each stage in the machine learning process. It encompasses standard terms and strategies employed in machine learning initiatives, seeking to deepen understanding and dialogue around this process.
A more hands-on approach is given in the course named “Practical Data Science with Amazon SageMaker”. It exposes learners to the day-to-day life of a data scientist, highlighting machine learning approaches with Amazon SageMaker. The comprehensive program cultivates knowledge around machine learning processes, roles, responsibilities and affords practical experience in building, training and deploying models.
On a more foundational level, the “Machine Learning Essentials for Business and Technical Decision Makers” course guides learners to understand the basics of machine learning. It emphasizes the evaluation of its advantages and potential risks in business scenarios and pinpoints prerequisites for successful machine learning projects.
For those interested in low-code machine learning, a dedicated course uses Amazon SageMaker Data Wrangler and Autopilot to train and deploy ML models with minor coding. It covers creating models for tabular and time series data, best practices and proofs of concept for assisting data scientists in business problem-solving.
AI also explores the future, as is evident in the “Planning a Generative AI Project” and “Introduction to Generative AI – Art of the Possibles” courses. The former provides key terminology related to generative AI, and the latter helps learners grasp the basics and the risks and benefits associated with AI.
The program also includes a fundamental course that teaches installation and usage of Amazon CodeWhisperer. This service enhances coding productivity by providing code suggestions and security scans.
“Foundations of Prompt Engineering” is an excellent course for those interested in principles, techniques and best practices for designing effective prompts. It tackles advanced techniques, recognizing apposite prompts for specific models and how to avoid misuse and bias.
“Building Generative AI Applications Using Amazon Bedrock” and “Building Language Models on AWS” target data scientists and ML developers looking to build AI applications and language models respectively. The former discusses architectural patterns, integration techniques and labs for generating text, while the latter focuses on storage, ingestion and training options for large text corpora.
