Prompting for Everyone with Amazon Bedrock Models | CodeSignal Learn

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Prompting for Everyone with Amazon Bedrock Models

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5 courses

70 practices

5 hours

Unlock the power of AI with Bedrock Models by Amazon Web Services. Master LLM fundamentals, prompt engineering, and real-world automation to boost productivity—no advanced coding required. Perfect for anyone ready to harness next-gen AI tools!

4.54

(223)

1,418 learners

Earn a shareable

Certificate of Achievement

Verified skills you'll gain

DEVELOPING

Advanced Prompting Techniques

INTERMEDIATE

Prompt Design and Development

DEVELOPING

Prompt Testing and Iteration

INTERMEDIATE

Task Analysis and Outcome Definition

Tools you'll use

Amazon Bedrock Models

Chat AI

CSV

JSON

LibreChat

Markdown

Python

XML

Course 1

Understanding LLMs

5 lessons

17 practices

Gain a foundational understanding of Large Language Models (LLMs). Explore their core mechanics, differences between model versions, reasoning techniques, context management, and practical methods to control conversations for more effective interactions.

Course 2

Prompting Foundations

4 lessons

14 practices

Master the essentials of effective prompting. Learn to structure, format, and refine your prompts for clarity and precision, ensuring LLMs deliver accurate and useful responses.

Course 3

Diving Deep Into Prompt Engineering

5 lessons

18 practices

Master advanced prompt engineering techniques. Learn creative strategies, leverage system prompts, iterate for continuous improvement, integrate multi-modal data, and explore the generated knowledge approach for optimal results.

Course 4

Solving Real Challenges with AWS Bedrock Models

4 lessons

13 practices

Learn to use LLMs to tackle real-world tasks with precision. Focus on achieving the correct output format, generating structured data, producing runnable code, and efficiently handling typical programming challenges.

Course 5

Smart Vibe Coding to Automate your Workflows

3 lessons

8 practices

Unlock the full potential of LLMs in software development with a hands-on approach. Practice specifying code changes, automating data parsing, refactoring, and troubleshooting to accelerate your development workflow.

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