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Course Description: AWS Bedrock Generative AI + LLMs Comprehensive Guide

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Course Description: AWS Bedrock Generative AI + LLMs Comprehensive Guide

Welcome to our in-depth course on the cutting-edge world of AWS Bedrock Generative AI, encompassing LLMs (Large Language Models) and fine-tuning techniques. AWS Bedrock, the innovative platform from Amazon Web Services, provides unparalleled opportunities for AI enthusiasts, developers, and professionals to engage with Generative AI. In this course, you will explore the nuts and bolts of AWS Bedrock and learn how to harness its power for your AI projects. Create 3 separate projects in this course which include chatting with your data and asking questions about your documents, writing  code with Bedrock models, and image generation with diffusion models. All these projects will be then deployed through a Serverless architecture with AWS Bedrock, API Gateway, Lambda functions, S3,  Postman and many more

Structured over a series of engaging modules, you will:

1. Delve Deep into AWS Bedrock & Generative AI: Understand the foundations of AWS Bedrock and its role in the AI landscape. Discover the transformative potential of Generative AI, how it's shaping industries, and its underlying technologies.

2. Mastering LLMs: Dive into the intricacies of Large Language Models. Learn about their architecture, applications, strengths, and limitations.

3. Fine-tuning Models: A pivotal skill for any AI practitioner. Acquire hands-on experience in tweaking existing models to fit specific tasks or datasets, ensuring optimal performance and efficiency.

4. Hands-on Projects: Roll up your sleeves and immerse yourself in three separate projects. Each project is designed to reinforce your learning and provide practical experience. You'll employ a serverless stack, integrating AWS services like API Gateway and Lambda with AWS Bedrock, offering you a holistic view of the platform's capabilities.

5. Serverless Stack Integration: Delve into the Serverless paradigm, focusing on API Gateway, Lambda, and AWS Bedrock. Learn how to set up, manage, and scale serverless architectures seamlessly, ensuring you're well-equipped to design and deploy AI-driven applications with ease.

6. Evaluate your LLM: After finishing the course you will be able to evaluate the toxicity, and overall accuracy of your your Large Language Model.

By the end of this course, you will have a robust understanding of AWS Bedrock and its synergies with Generative AI and LLMs. Whether you're an aspiring AI developer, a seasoned practitioner, or a tech enthusiast, this course is tailored to equip you with the skills and knowledge to navigate the dynamic world of AI with confidence.

Join us on this enlightening journey through AWS Bedrock and discover the future of Generative AI. Let's build, fine-tune, and deploy together.

Enroll now

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Designed for AI practitioners, developers, and professionals who want to enhance their skills in AI projects
Specializes in training students in Generative AI and LLMs, empowering them to build and fine-tune models for specific tasks and datasets
Incorporates hands-on projects to reinforce learning and provide students with practical experience in designing and deploying AI-driven applications
Covers advanced topics such as evaluating the toxicity and accuracy of Large Language Models, making it suitable for experienced learners
Leverages the Serverless paradigm through the integration of AWS services such as API Gateway and Lambda with AWS Bedrock
May require a solid foundation in AI concepts and programming, making it less accessible to beginners

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Complete AWS Bedrock Generative AI Course + Projects with these activities:
Attend an AWS Bedrock Meetup or Conference
Expand your network, learn from industry experts, and stay updated on the latest advancements in AWS Bedrock.
Show steps
  • Check for upcoming AWS Bedrock meetups or conferences in your area or online.
  • Register for the event and attend sessions.
  • Network with other attendees and speakers.
Show all one activities

Career center

Learners who complete Complete AWS Bedrock Generative AI Course + Projects will develop knowledge and skills that may be useful to these careers:
AI Architect
AI Architects seeking to design and implement Generative AI solutions at scale will find this course invaluable. You'll learn to build and fine-tune LLMs, enabling you to develop AI systems that are scalable, reliable, and secure. With a focus on evaluating LLM performance and ensuring responsible AI development, you'll gain the skills to lead AI initiatives, design AI architectures, and advance your career as an AI Architect.
Academic Researcher
Academic Researchers seeking to advance their understanding of Generative AI and its applications will benefit from this course. You'll learn to build and fine-tune LLMs, enabling you to conduct cutting-edge research in natural language processing, computer vision, and other fields. With a focus on evaluating LLM performance and ensuring responsible AI development, you'll gain the skills to contribute to the advancement of Generative AI and shape the future of this transformative technology.
Natural Language Processing Engineer
Natural Language Processing Engineers seeking to specialize in Generative AI can benefit from this course. You'll learn to build and fine-tune LLMs, enabling you to develop AI solutions that understand, generate, and process human language. With a focus on evaluating LLM performance and ensuring responsible AI development, you'll gain the skills to build chatbots, language translation systems, and other NLP applications, advancing your career as a Natural Language Processing Engineer.
AI Researcher
AI Researchers seeking to advance their understanding of Generative AI and its applications can benefit from this course. You'll delve into the foundations of AWS Bedrock and LLMs, learn to fine-tune models, and build projects using a serverless stack. With a focus on evaluating LLM performance and ensuring responsible AI development, you'll gain the skills to contribute to the cutting-edge research and development of Generative AI, shaping the future of this transformative technology and advancing your career as an AI Researcher.
Entrepreneur
Entrepreneurs seeking to leverage Generative AI to build innovative products and services will find this course valuable. You'll learn to build and fine-tune LLMs, enabling you to develop AI-powered solutions that address real-world problems. With a focus on evaluating LLM performance and ensuring responsible AI development, you'll gain the skills to launch successful AI startups and drive innovation in various industries, shaping the future as an AI Entrepreneur.
Robotics Engineer
Robotics Engineers seeking to incorporate Generative AI into their robotic systems will benefit from this course. You'll learn to build and fine-tune LLMs, enabling you to develop robots that can learn from their environment, adapt to changing conditions, and interact with humans more naturally. With a focus on evaluating LLM performance and ensuring responsible AI development, you'll gain the skills to build autonomous robots, collaborative robots, and other advanced robotic systems, propelling your career as a Robotics Engineer.
AI Engineer
AI Engineers are at the forefront of Generative AI, driving the development and deployment of AI solutions that transform industries. This course equips you with the expertise to excel as an AI Engineer. You'll master AWS Bedrock and LLMs, learn to fine-tune models, and build projects using a serverless stack. With a focus on evaluating LLM performance and ensuring responsible AI development, you'll gain the skills to create and deploy AI solutions with confidence, advancing your career as an AI Engineer.
Computer Vision Engineer
Computer Vision Engineers seeking to leverage Generative AI to enhance their image and video analysis capabilities will find this course beneficial. You'll learn to build and fine-tune LLMs, enabling you to develop AI solutions that can recognize objects, detect patterns, and generate new images. With a focus on evaluating LLM performance and ensuring responsible AI development, you'll gain the skills to build self-driving cars, medical imaging systems, and other computer vision applications, advancing your career as a Computer Vision Engineer.
Software Engineer
Software Engineers seeking to specialize in Generative AI can benefit tremendously from this course. You'll learn to integrate AWS Bedrock and LLMs into your software applications, empowering you to create innovative solutions that leverage Generative AI's capabilities. With hands-on projects that cover serverless stack integration and API Gateway, you'll develop the skills to build robust and scalable AI-driven applications, enhancing your competitiveness as a Software Engineer.
Business Intelligence Analyst
Business Intelligence Analysts seeking to harness the power of Generative AI to gain deeper insights into business data will greatly benefit from this course. You'll learn to build and fine-tune LLMs, enabling you to automate data analysis tasks, identify trends and patterns, and generate new insights that drive strategic decision-making. With a focus on evaluating LLM performance and ensuring responsible AI development, you'll gain the skills to transform raw data into actionable insights, advancing your career as a Business Intelligence Analyst.
Data Analyst
Data Analysts seeking to leverage Generative AI to enhance their data analysis capabilities will find this course invaluable. You'll learn to build and fine-tune LLMs, enabling you to automate data analysis tasks, extract insights from complex data, and generate new hypotheses. With a focus on evaluating LLM performance and ensuring responsible AI development, you'll gain the skills to drive data-driven decision-making and advance your career as a Data Analyst.
Data Scientist
Data Scientists harness the capabilities of Generative AI to extract insights from complex data, uncovering patterns and trends that drive decision-making. This course provides a strong foundation for Data Scientists seeking to enhance their Generative AI skills. You'll gain expertise in building and fine-tuning LLMs, enabling you to develop AI solutions that automate data analysis, predict outcomes, and generate new insights, propelling your career as a Data Scientist to new heights.
Quantitative Analyst
Quantitative Analysts seeking to apply Generative AI techniques to financial data analysis and modeling will benefit from this course. You'll learn to build and fine-tune LLMs, enabling you to automate data analysis tasks, identify trading opportunities, and generate new insights. With a focus on evaluating LLM performance and ensuring responsible AI development, you'll gain the skills to enhance risk management, optimize investment strategies, and advance your career as a Quantitative Analyst.
Product Manager
Product Managers seeking to leverage Generative AI to enhance their product development strategies will find this course beneficial. You'll learn to build and fine-tune LLMs, enabling you to generate new ideas, gather customer feedback, and improve product design. With a focus on evaluating LLM performance and ensuring responsible AI development, you'll gain the skills to drive product innovation, enhance the user experience, and advance your career as a Product Manager.
Machine Learning Engineer
Machine Learning Engineers leverage their expertise in Generative AI to develop, deploy, and manage machine learning models. Throughout this course, you'll strengthen your foundation in AWS Bedrock and LLMs, equipping you to excel as a Machine Learning Engineer. You'll learn to fine-tune models for specific tasks, deploy your projects using a serverless stack, evaluate LLM performance, and more. This comprehensive course empowers you with the skills to build innovative AI-driven solutions and drive business outcomes as a Machine Learning Engineer.

Reading list

We've selected six books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Complete AWS Bedrock Generative AI Course + Projects.
Provides a comprehensive overview of serverless architectures on AWS, covering the core concepts, services, and best practices. It offers practical guidance on designing, building, and operating serverless applications on AWS.
Provides a comprehensive introduction to natural language processing using Python. It covers a wide range of NLP tasks, from text classification and sentiment analysis to machine translation and text summarization.
Teaches machine learning using TensorFlow, a popular open-source machine learning library. It provides a practical and hands-on approach to building and training machine learning models.
This classic textbook provides a foundational understanding of reinforcement learning, an important area of AI that deals with learning through interactions with the environment. It covers the theoretical foundations and practical techniques of reinforcement learning.
Provides a gentle introduction to machine learning, suitable for beginners with minimal technical background. It covers the fundamental concepts and algorithms of machine learning in a clear and accessible manner.
This comprehensive textbook on deep learning, providing a foundational understanding of the field. It covers various deep learning techniques, architectures, and applications.

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