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[Question] AWS AI learning path
Hello Builders,
I was doing some researches to plan a learning path for myself, and AI tools came up with this so please I am looking if you can confirm or modify .. your advise is appreciated
- Topics
- Machine Learning & AI
- Language
- English
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In short: your research for this learning path is solid and looks well-structured to me!
I completely understand your point - relying solely on AI to verify an AI-generated learning path can feel like a circular loop.
However, regarding your comment: LLM-as-a-Judge (or LLM-based evaluation) is indeed a valid conceptual framework in NLP, but for career planning, a human reality check is indispensable.
The AI-generated path is a solid starting point, but for a truly holistic "Enabling Measure," you should focus on actual implementation rather than just static courses. Based on my experience:
- Move Beyond Theory: Don't just rely on video courses. For 2026, AWS has launched the AI & ML Scholars Program (via Udacity) and new JetBrains Academy Learning Paths. These are game-changers because they provide real cloud environments directly within your IDE. Working in an IDE is significantly more valuable than any static document or simulated lab.
- Theory vs. Practice: Platforms like AWS Skill Builder are excellent for structured learning, but they are only one piece of the puzzle. Real-world proficiency comes from hands-on implementation that goes beyond guided labs.
- Modern Certifications: The landscape has shifted. The AWS Certified AI Practitioner and Machine Learning Engineer – Associate are now the primary targets. The older "Specialty" certifications are being phased out in favor of these more role-based paths.
- "Last Mile" of AI: Focus on LLMOps and RAG (Retrieval-Augmented Generation). Learning how to connect a Foundation Model (via Amazon Bedrock) to real data sources is currently the most sought-after skill.
My advice: Use Skill Builder to get the vocabulary, but spend at least 50% of your time building "unstructured" projects. Certificates prove you can learn; projects and IDE-based development prove you can deliver.
Your learning path shows a solid foundation, and I can confirm that AWS offers several structured pathways to help you build AI and machine learning skills progressively.
For beginners, AWS provides foundational resources that start with cloud essentials and Python fundamentals before moving into AI concepts. AWS Educate offers self-paced online training with over 18 hands-on labs in simulated AWS console environments, perfect for gaining initial experience. There's also AWS SimuLearn: Generative AI Practitioner, a free simulation-based program that covers foundational generative AI skills through interactive customer scenarios and hands-on labs.
For hands-on experimentation without coding, PartyRock allows you to build AI applications and practice prompt engineering techniques while learning generative AI basics. Amazon SageMaker Studio Lab provides free compute resources for creating and running Jupyter notebooks, letting you experiment with machine learning models using popular libraries.
As you progress to intermediate levels, AWS offers pathways that bridge theory and practice. These cover ML fundamentals, prompt-engineering best practices, training models with Amazon SageMaker, and building generative AI applications using Amazon Bedrock and LangChain. You'll also learn to work with foundation models including Retrieval Augmented Generation (RAG), agents, and guardrails.
Throughout your journey, AWS provides comprehensive support through Solutions Architects, Professional Services teams, AWS Skill Builder courses, Machine Learning Blogs, and Workshop Studio materials. The key is to start with manageable projects, build hands-on experience, and progress iteratively while continuously learning and adapting to new AI capabilities.
I'd recommend visiting AWS Skill Builder to explore these structured learning plans and choose the pathway that best matches your current skill level and goals.
Sources
Improve your AI skills: New AWS learning paths on JetBrains | AWS Training and Certification Blog
Introducing AWS ‘Move to AI’ Modernization Pathway: Transforming Your Application Portfolio with AI | Migration & Modernization
Community | Build hands-on skills with 3 AI projects on AWS for free
Introducing AWS SimuLearn: Generative AI Practitioner | AWS Training and Certification Blog
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Can't accept the answer, AI won't verify another AI for me : ) I need human!
Thank you so much for the great answer .. really appreciated!