7 Best Udemy Courses to Learn Amazon Bedrock, SageMaker, and AWS Generative AI in 2025
My favorite Udemy courses to Learn Amazon Bedrock, SageMaker, and AWS Generative AI in 2025
Hello folks, as Generative AI continues to revolutionize various industries, mastering tools like Amazon Bedrock and SageMaker has become crucial for AI and machine learning professionals.
If you want to learn Amazon Bedrock and AWS SageMaker and looking for resources then you have come to the right place.
Earlier, I have shared best AI courses, best ChatGPT courses, best Data Science courses and best Machine Learning courses and in this article, I am going to share best Udemy courses to learn AWS SageMaker and Bedrok in 2025.
These are very affordable and up-to-date Udemy courses which you can use to become proficient in these powerful services.
By the way, if you are new to AI and Machine Learning then I also suggest you to go through Machine Learning A-Z: AI, Python & R + ChatGPT Prize [2025] course by Kirill Eremenko on Udemy. It’s a great course to learn AI and Machine Learning.
What is Amazon Bedrock?
Amazon Bedrock is a fully managed service that provides easy access to foundation models (FMs) from leading AI companies. It allows developers to build and scale generative AI applications quickly and securely.
Why use Amazon Bedrock?
- Access to a variety of pre-trained models
- Customization options for specific use cases
- Seamless integration with other AWS services
- Enhanced security and privacy features
What is Amazon SageMaker?
Amazon SageMaker is a comprehensive machine learning platform that enables developers and data scientists to build, train, and deploy machine learning models quickly.
Why use Amazon SageMaker?
- End-to-end ML workflow support
- Integrated development environment with SageMaker Studio
- Automated machine learning with SageMaker Autopilot
- Scalable and cost-effective model training and deployment
What is Generative AI on AWS?
Generative AI on AWS encompasses various tools and services that allow you to create AI-generated content, including text, images, and more.
Why use Generative AI on AWS?
- Access to state-of-the-art AI models
- Scalable infrastructure for AI workloads
- Integration with existing AWS services and workflows
- Continuous updates and improvements to AI capabilities
Top 7 Udemy Courses to Learn Amazon Bedrock, SageMaker & AWS Generative AI in 2025
These courses offer a mix of theoretical knowledge and hands-on practice, catering to different skill levels and learning preferences. Whether you’re a beginner or an experienced professional, these courses will help you master Amazon Bedrock, SageMaker, and Generative AI on AWS.
1. Amazon Bedrock & AWS Generative AI — Complete HandsON
Students: 10,451 (Bestseller)
Key Features:
- Comprehensive coverage from AI basics to advanced Generative AI concepts
- No prior AI or coding experience required
- Hands-on projects in various industries
Curriculum Highlights:
- Fundamentals of AI, Machine Learning, and Artificial Neural Networks
- Deep dive into Foundation Models and how Generative AI works
- Detailed walkthrough of Amazon Bedrock console, architecture, and pricing
- Real-world use cases:
- Movie poster design using Stable Diffusion
- Text summarization for manufacturing using Cohere
- Chatbot development with Llama 2, Langchain, and Streamlit
- HR Q&A app with Retrieval Augmented Generation (RAG)
Why Choose This Course: Ideal for beginners looking for a practical, industry-focused approach to learning Generative AI on AWS. The diverse use cases provide a broad understanding of Bedrock’s capabilities.
Here is the link to join this course — Amazon Bedrock & AWS Generative AI — Complete HandsON
2. Amazon Bedrock — The Complete Guide to AWS Generative AI
Students: 1,663 (Bestseller)
Key Features:
- Focus on deploying scalable and secure Generative AI applications
- Covers both Python and TypeScript implementations
- Emphasis on AWS ecosystem integration
Curriculum Highlights:
- Fundamentals of Generative AI and its industry applications
- Overview of essential AWS services (EC2, S3, Lambda)
- In-depth study of Amazon Bedrock Managed Service
- Step-by-step guide to creating infrastructure for Generative AI workloads
- Development of Generative AI apps using Python and TypeScript
Why Choose This Course: Best for developers who want to build production-ready Generative AI applications on AWS. The dual-language approach (Python and TypeScript) makes it versatile for different development preferences.
Here is the link to join this course — Amazon Bedrock — The Complete Guide to AWS Generative AI
3. Amazon Bedrock — Learn AI on AWS with Python!
Students: 2,821
Key Features:
- Python-focused implementation of Generative AI on AWS
- Deep dive into text processing with Amazon Titan
- Coverage of advanced AI techniques
Curriculum Highlights:
- Comprehensive understanding of Amazon Bedrock’s architecture and capabilities
- Hands-on experience with Amazon Bedrock’s tools and Amazon Titan
- Advanced techniques like Retrieval Augmented Generation (RAG)
- Practical applications: Processing complex information from PDFs and call transcripts
- Exploration of AI-powered text and image processing, including Stability AI parameters
Why Choose This Course: Perfect for Python developers looking to specialize in text and image processing using Amazon Bedrock. The focus on RAG and complex data extraction makes it valuable for building sophisticated AI applications.
Here is the link to join this course — Amazon Bedrock — Learn AI on AWS with Python!
4. AWS SageMaker Machine Learning Engineer in 30 Days + ChatGPT
Students: 8,709 (Highest Rated)
Key Features:
- Intensive 30-day program with 30+ ML projects
- Comprehensive coverage of SageMaker tools and features
- Integration of ChatGPT into the learning process
Curriculum Highlights:
- Hands-on experience with SageMaker JumpStart, Canvas, AutoPilot, and DataWrangler
- Integration of AWS Lambda and S3 in ML workflows
- Practical implementation of various machine learning algorithms
- Real-world projects spanning different industries and use cases
- Exploration of ChatGPT integration in AWS environments
Why Choose This Course: Ideal for aspiring ML engineers who want an intensive, project-based learning experience. The inclusion of ChatGPT makes it relevant for those interested in the latest AI trends.
Here is the link to join this course — AWS SageMaker Machine Learning Engineer in 30 Days + ChatGPT
5. AWS SageMaker Practical for Beginners | Build 6 Projects
Students: 14,895
Key Features:
- Focus on practical implementation of ML algorithms in SageMaker
- Six hands-on projects covering different ML domains
- Emphasis on SageMaker Studio and AutoML
Curriculum Highlights:
- Training and deploying AI/ML models using AWS SageMaker
- Hyperparameter optimization techniques
- Projects include:
- Linear regression for predictions
- Multi-polynomial regression for store sales prediction
- Deep learning-based image classification
- Time series forecasting with DeepAR
- Sentiment analysis model development and deployment
- Interaction with deployed NLP models
Why Choose This Course: Best for beginners who want a solid foundation in practical ML implementation using SageMaker. The diverse project portfolio provides hands-on experience across various ML domains.
Here is the link to join this course — AWS SageMaker Practical for Beginners | Build 6 Projects
6. Complete Generative AI Course With Langchain and Huggingface
Students: 21,966 (Bestseller)
Key Features:
- Integration of Langchain and Huggingface with AWS services
- Focus on building and deploying advanced generative AI applications
- Coverage of architecture and design patterns for AI systems
Curriculum Highlights:
- Creating advanced generative AI applications using Langchain framework
- Leveraging Huggingface’s state-of-the-art models
- Understanding architecture and design patterns for robust AI systems
- Hands-on experience in deploying models to cloud platforms and on-premise servers
- Best practices for scaling and optimizing generative AI applications
Why Choose This Course: Ideal for developers looking to integrate cutting-edge AI libraries with AWS services. The focus on Langchain and Huggingface provides valuable skills for building sophisticated AI systems.
Here is the link to join this course — Complete Generative AI Course With Langchain and Huggingface
7. AWS Certified Machine Learning Specialty 2025 — Hands On!
Students: 103,175 (Bestseller)
Key Features:
- Comprehensive preparation for AWS Certified Machine Learning Specialty exam
- Covers SageMaker, Generative AI, data engineering, and modeling
- Hands-on approach to learning
Curriculum Highlights:
- In-depth coverage of AWS machine learning services
- Data engineering and feature engineering techniques
- Model training, tuning, and deployment on AWS
- Generative AI concepts and implementation on AWS
- Exam-specific tips and strategies
Why Choose This Course: Perfect for professionals aiming to obtain the AWS Certified Machine Learning Specialty certification. While focused on exam preparation, it provides a comprehensive overview of ML on AWS, including the latest in generative AI.
Here is the link to join this course — AWS Certified Machine Learning Specialty 2025 — Hands On!
That’s all about the best Udemy courses to learn Bedrock, Generative AI and SageMaker in AWS in 2025. Each of these courses offers a unique perspective on Generative AI, Amazon Bedrock, and SageMaker.
You should consider your current skill level, learning goals, and preferred learning style when choosing the course that’s right for you.
Remember, the field of AI is rapidly evolving, so courses with recent updates are particularly valuable for staying current with the latest AWS features and best practices.
The key to success in this field is continuous learning and practice. As you progress through these courses, try to apply your knowledge to real-world projects and stay updated with the latest developments in the rapidly evolving field of Generative AI.
Other AI, Cloud and ML resources you may like to explore
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Thanks for reading this article so far. If you find these AWS Bedrock and SageMaker courses useful, then, please share them with your friends and colleagues. If you have any questions or feedback, then please drop a note.
P. S. — By the way, if you want to join multiple course on Udemy, its better to get a Udemy Personal Plan, which will give instant access of more than 11,000 top quality Udemy courses for just $30 a month. If you got a lot of time and want to save money, Udemy Personal Plan will be perfect for you.
