Ready to elevate your career in AI, machine learning, and cloud analytics? AWS now offers a suite of free online courses specifically designed for both beginners and professionals. Learn to build language models, explore generative AI, master no-code machine learning, enhance decision-making, evaluate LLMs, and harness powerful data analytics tools—hands-on, practical, and job-ready.
Top 6 Free AWS AI & Machine Learning Courses (With Links)
1. Building Language Models on AWS
Learn to develop, customize, and deploy powerful natural language models using AWS services and frameworks. This course covers model architecture, training, and optimization—key skills for anyone interested in NLP and cloud AI.
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2. No-Code Machine Learning & Generative AI on AWS
Perfect for those new to ML—this course lets you create machine learning projects and generative AI solutions without writing code. Quickly build impactful applications using AWS PartyRock and other visual tools.
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3. Machine Learning Essentials for Business & Technical Decision Makers
Understand the key concepts of ML for companies—learn to identify use cases, select technologies, and evaluate project impact from both technical and business perspectives.
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4. Customizing & Evaluating LLMs Using Amazon SageMaker JumpStart
Dive deep into fine-tuning and evaluating large language models (LLMs) using AWS SageMaker. Gain expertise in model deployment, performance analysis, and practical ML optimization.
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5. Fundamentals of Analytics on AWS – Part 1
Build a strong foundation in cloud-based analytics, data storage, processing, and visualization with AWS ecosystem tools.
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6. Fundamentals of Analytics on AWS – Part 2
Continue your learning journey with advanced analytics techniques, including real-time data streaming and dashboards with AWS tools.
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Why Choose AWS for AI & ML Education?
- 100% free digital courses, plus cloud credits/self-paced learning.
- Taught by AWS experts—industry leaders in cloud AI, analytics, and ML.
- Practice with real-world labs, AWS Skill Builder, and projects using leading cloud services.
- Build portfolio skills for data science, cloud engineering, and enterprise analytics roles.
- Join a global cloud and AI community for support, challenges, and network building.
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