Work with Claude on Bedrock
Run multi-turn chats and system prompts on Bedrock, with streaming, temperature control and structured data.
Partners and press
Overview
Same Claude, different front door. This course teaches the Bedrock one.
Claude with Amazon Bedrock is an eight-hour Academy course for developers adding AI features through Amazon Bedrock. It moves from the API through prompts, tools, retrieval, MCP, Claude Code, computer use and agents, with graded evaluations. You need Python, basic JSON and an AWS account with Bedrock access, and a final assessment leads to the completion badge.
8Modules
8Hours
8Skills
7Roles
What it covers
Learn all the way down.
Learn all the way down.
Perform when it matters.
Grade prompts on Bedrock
Build prompt evaluations that use both model-based and code-based grading.
Tools and RAG on AWS
Define tools with JSON Schema, then build RAG pipelines with chunking, embeddings, BM25, reranking and contextual retrieval.
Extend with MCP and agents
Apply MCP in client apps, use Claude Code for debugging, and explore computer use and agent behavior.
Course outline
From model access in AWS
From model access in AWS
to agents running on Bedrock.
We design this course ourselves. Anthropic issues the credential, and LUNARTECH is independent of Anthropic.
Begin inside your AWS account. You enable model access, make requests from Python, hold multi-turn chats, set system prompts, stream replies and control output on Bedrock.
- Model access and permissions in AWS
- Making requests with the AWS SDK
- Multi-turn chats and message history
- System prompts and temperature
- Streaming responses
- Getting structured data
You build A Bedrock chat client with streaming and history, running under a least-privilege role.
Good prompts carry over between platforms, and you learn them here with Bedrock in the loop. You write clear, direct and specific instructions, use XML structure and add examples.
- Clear and direct instructions
- Specific constraints and formats
- XML tags for structure
- Examples in prompts
- Prompt templates in application code
- Comparing prompt versions
You build A prompt template library for three tasks, tested through Bedrock.
You build prompt evaluations that run on Bedrock: generate a test set, run each prompt across it, and grade the answers by model and by code before you trust a change.
- Anatomy of an evaluation
- Generating test cases
- Running evaluations at scale
- Code-based graders
- Model-based graders
- Reading and acting on results
You build A Bedrock eval run that compares two prompts with both kinds of grader.
Claude can call functions you define. You describe tools with JSON Schema, run them, return results, and handle batch and multi-tool patterns, including the text editor tool.
- Tool definitions with JSON Schema
- Running tools and returning results
- Multiple tools in one request
- Batch tool patterns
- The text editor tool
- Error handling in tool loops
You build A tool-using assistant on Bedrock that calls several functions in one conversation.
You build retrieval from the ground up: chunk text, create embeddings, add BM25 search, and then lift quality with reranking and contextual retrieval.
- Chunking text
- Embeddings and vector search
- BM25 keyword search
- Merging results from both
- Reranking retrieved passages
- Contextual retrieval
- Measuring retrieval quality
You build A retrieval pipeline with reranking and contextual retrieval, scored against a baseline.
Bedrock exposes Claude’s richer features. You use extended thinking for harder problems, send images and PDFs, ask for citations and apply prompt caching to repeated context.
- Extended thinking
- Image input
- PDF support
- Citations
- Prompt caching
- Choosing which feature a task needs
You build A document assistant on Bedrock that reads images and PDFs and cites its sources.
MCP standardizes how Claude reaches tools and data. You build clients and servers with tools, resources and prompts, and review how the protocol fits into an AWS-based application.
- What MCP is and why it exists
- Building an MCP server
- Tools, resources and prompts
- Building an MCP client
- Using MCP inside a Bedrock application
- Reviewing the protocol
You build An MCP server and a client that feeds its tools to Claude on Bedrock.
Agents act on their own, and you learn to direct them. You use Claude Code for debugging and run it in parallel, look at computer use, and identify what makes a system an agent.
- What makes an agent
- Using Claude Code to debug
- Running Claude Code in parallel
- Automating debugging tasks
- How computer use works
- Qualities of a reliable agent
You build An automated debugging workflow that runs Claude Code on a failing project.
Issued by
Certifying body · Independent of LUNARTECH
Anthropic
Four role-based certifications for people building on Claude, and free Academy courses with badges. The four certifications are open to members of the Claude Partner Network, not the general public. Membership is free for firms. Exams are proctored and delivered by Pearson, and the credential is issued through Credly. Academy courses are free, and a badge comes from passing the course’s quizzes.
How you get there
Top-tier roles go to people who can do the work.
Top-tier roles go to people who can do the work.
Here’s how you get there.
Know where you start.
Python proficiency, basic familiarity with JSON, and an AWS account with Bedrock access.
Work through the course.
Eight modules, designed by LUNARTECH, at your own pace.
Earn it with Anthropic.
Anthropic issues the credential, so you earn it directly with them.
Support
Support at every stage.
Support at every stage.
You won’t be working through this alone.
Before you start
Try it first.
A 3-day free trial opens a selection of the content. Your card is only charged once it ends.
While you learn
Mentors within reach.
Stuck on a concept? Reach out to a mentor whenever you need help.
While you learn
One-on-one sessions.
On the yearly plan, one-on-one sessions give you dedicated support.
Any time
A team behind you.
Write to info@lunartech.ai at any point, from your trial onwards. If your employer is funding you, we’ll set it up with them directly.
All the way through
A schedule that fits around your life.
Your own paceFrom anywhereAt any hour
After the last lesson
Stay in the network.
Your alumni network stays with you: ongoing support, opportunities and industry insight.
Career support
Career support, past the last lesson. Coaching, a sharper resume, real interview preparation and the people to know.
Career direction
Tailored coaching helps you decide where to aim and how to get there.
Strong portfolio
Hands-on projects become work you can show, not just claim.
Resume and profile
Personalized refinement, so what you send says what you can actually do.
Interview preparation
Preparation for the questions that decide it, so you walk in ready.
Network and search
Connections with industry leaders, and an alumni network that stays with you.
Reviews
Real stories from the community.
LUNARTECH Academy has been the most empowering learning experience of my life, giving me a clear, structured path from the absolute basics to building real-world AI systems with confidence.
Your page is fantastic. As a bachelor’s student in Data Science now accepted for a master’s at UConn, your work has been a real source of motivation.
The programme’s clear, bite-sized content and practical projects dramatically improved my speed from fuzzy idea to MVP and my ability to communicate AI value. I followed the system, and it works.
I really appreciate your teaching style and the way you break down complex topics. It has been incredibly helpful.
After years working mainly with R for econometrics, I found your Python machine learning course a refreshing and engaging way to learn Python.
As a Data Science graduate, I want to thank you for the effort you put into making videos to support growing data scientists.
I’ve been following your work since taking your machine learning course, and I’m impressed by your practical approach to applying AI.
Why choose us
Built around how you actually learn.
One standard behind every course, from the first lesson to long after the last.
Hands-on practice
Apply every idea to real problems, so it becomes something you have used, not only seen.
Industry-aligned curriculum
We keep courses current with the tools, techniques and skills the field asks for.
Flexible learning
Study at your own pace, from anywhere, at any hour.
Certificate of completion
Finish the course and earn a certificate that shows what you have learned.
Focus on your success
Personalized learning plans and support structures carry you through the hard parts.
Lifetime alumni network
Stay connected after you finish, with ongoing support, opportunities and industry insight.
Your certificate
It doesn’t raise its voice. Neither will you.
Finish a LUNARTECH course and its certificate is issued in your name, under our signature. Anthropic’s credential comes from Anthropic.
Certificate of completion
Your Name
Claude with Amazon Bedrock course
LUNARTECH RISE Academy
Pricing
This course comes with the membership.
This course comes with the membership.
So does everything else.
One membership opens every course, certification, workshop and masterclass in the Academy. Every plan starts with a 3-day free trial. Anthropic issues the credential.
3 days free, then $29.97 a month. Your card is only charged once the trial ends.
Included in every plan
- Every course in the Academy
- Every certification course
- Workshops and masterclasses
- A certificate of completion
- A 3-day free trial
- Learning at your own pace
- The lifetime alumni network
- Upgrades at any time
In practice
Seven roles.
Seven roles.
One credential across them all.
No single job owns it. Here’s where each role leans hardest, and where its work ends up.
- 01API
- 02Evals
- 03Prompting
- 04Tool use
- 05RAG
- 06Features
- 07MCP
- 08Agents
-
Teams on AWS reach Claude through Bedrock. Evals and retrieval decide how well it works.
Evals, Tool use, RAG, Agents
AWS-based products, Software development
-
Clients on AWS ask for Claude through Bedrock. Know the patterns before you design it.
RAG, MCP, Agents
Cloud platforms, Enterprise IT, Consulting
-
Chats, system prompts and streaming work on Bedrock too. Caching and extended thinking are covered as well.
API, Prompting, Features
AWS-based products, Software development
-
Bedrock puts Claude behind the account you already run. Access, quotas and regions become your tasks.
API, Features
AWS-based products, Cloud platforms
-
An AWS service can call Claude like any other API. Tools and streaming turn it into a feature.
API, Tool use, Features
AWS-based products, Software development
-
Prompts need tests before they go to Bedrock. Model-graded evals judge what code cannot.
Evals, Prompting
AWS-based products, Software development
-
Retrieval on AWS starts with documents in the right shape. Embedding and indexing choices come first.
RAG
Cloud platforms, Enterprise IT
- AWS-based products
- Cloud platforms
- Enterprise IT
- Consulting
- Software development
AI Engineer
Teams on AWS reach Claude through Bedrock. Evals and retrieval decide how well it works.
Over 10,000 students trust LUNARTECH
LUNARTECH gives you the skills
to learn, build, create and lead.
Engineers
Understand systems all the way down. Build the ones others rely on.
Scientists
Understand what the data says. Build models that hold up.
Researchers
Understand the papers. Build on them, and take the work further.
The field
Anyone can use AI.
Anyone can use AI.
Few can engineer it. This is where that starts.
+340%growth in open roles requiring AI skills
Roles and pay
~35,000 open roles right now
Open roles: Built In, Greenhouse, LinkedIn.
Typical salaries: Glassdoor, Levels.fyi, Payscale, Indeed, Ravio, JobRise, U.S. BLS. Military: 2026 U.S. basic pay, drone officers with aviation incentive pay.
Updated November 2026.
FAQ
Frequently asked questions.
Need help? These answers cover most of what people ask before they start.
No. Anthropic issues it. LUNARTECH is independent of Anthropic, and its names and marks belong to it. When you finish a course of ours, you earn a LUNARTECH certificate of completion for that course.
No. We design this course ourselves, around what the credential covers. Anthropic has no part in it, and you still earn the credential directly with Anthropic.
8 hours, online course. The passing score is Pass each quiz.
Python proficiency, basic familiarity with JSON, and an AWS account with Bedrock access.
Does not expire. Completion badges do not expire. You can retake a course after a major update.
We last reviewed it on 5 November 2026, from Anthropic’s own pages. Details change, so check the official page before you book.
Our 3-day free trial gives you access to a selection of content in the bootcamps, courses and materials, so you can experience the value of our content first-hand. This includes comprehensive learning materials and interactive sessions. You won’t be charged during this period, though we require your credit card details at the start to ensure a seamless transition should you choose to continue.
Yes, entering your credit card details is a necessary step to begin your free trial. The process is entirely secure, and we ask for it to provide a seamless transition to a paid subscription if you decide to continue beyond the trial. You will only be charged after the trial period ends, with full access to our content based on the plan you choose.
After your 3-day free trial you gain access to the full breadth of our content, depending on the subscription plan you choose. We offer free trials for our monthly, bi-annual and annual plans, and each plan provides a different scope of access and benefits.
If your employer has agreed to fund your learning, in part or in full, please contact us at info@lunartech.ai. We’ll work with you and your employer to set up everything needed for your subscription.
Yes. Our support remains strong both during your free trial and after you subscribe. Reach the team at info@lunartech.ai with any question, whether you’re onboarding, navigating your trial, or need help as a member. Subscribers to the yearly plan also receive dedicated support in one-on-one sessions.
You can upgrade your plan at any time during your subscription. Downgrading is not available for bi-annual or annual plans, but you can cancel and then choose a new plan that suits you better. For bi-annual and annual plans we also offer payment in instalments; please reach out to learn more.
The course
Build the skills behind Claude with Amazon Bedrock.
Build with Claude on AWS, from the first request to agents. Start with a free trial, or enroll in a plan and work through the course at your own pace. Anthropic issues the credential.
LUNARTECH is independent of the vendors and certifying bodies listed here. Their names, exam titles and marks belong to them, exams are run by them, and credentials are issued by them. Reviewed 5 November 2026. Catalogues change often, so confirm the details on the official page before you book.
