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      About Featured

      Anthropic Introduction to subagents

      Learn to split a big task across parallel Claude subagents. How they work, how to build them, and when they help.

      4.9 out of 5 for LUNARTECH, from 100+ reviews10,000+ students

      Partners and press
      Anthropic logo featuring a clean, modern font, symbolizing responsible AI development and innovation supported by LUNARTECH.NVIDIA logo representing industry-leading graphics processing, AI innovation, and cutting-edge computing technologies, integrated by LUNARTECH.Microsoft Azure logo with a sleek, minimalist design, symbolizing powerful cloud computing and AI capabilities integrated by LUNARTECH.White Google logo featuring an abstract swirl design. -| LUNARTECHOpenAI logo with a hexagonal geometric design next to the text 'OpenAI' in a clean sans-serif font. - LUNARTECH
      Anthropic logo featuring a clean, modern font, symbolizing responsible AI development and innovation supported by LUNARTECH.NVIDIA logo representing industry-leading graphics processing, AI innovation, and cutting-edge computing technologies, integrated by LUNARTECH.Microsoft Azure logo with a sleek, minimalist design, symbolizing powerful cloud computing and AI capabilities integrated by LUNARTECH.White Google logo featuring an abstract swirl design. -| LUNARTECHOpenAI logo with a hexagonal geometric design next to the text 'OpenAI' in a clean sans-serif font. - LUNARTECH
      Anthropic logo featuring a clean, modern font, symbolizing responsible AI development and innovation supported by LUNARTECH.NVIDIA logo representing industry-leading graphics processing, AI innovation, and cutting-edge computing technologies, integrated by LUNARTECH.Microsoft Azure logo with a sleek, minimalist design, symbolizing powerful cloud computing and AI capabilities integrated by LUNARTECH.White Google logo featuring an abstract swirl design. -| LUNARTECHOpenAI logo with a hexagonal geometric design next to the text 'OpenAI' in a clean sans-serif font. - LUNARTECH
      Entrepreneur logo showcasing startup and business innovation by LUNARTECH.Forbes logo representing a global leader in business, finance, and entrepreneurship insights, associated with innovation and industry expertise by LUNARTECH.Bloomberg logo symbolizing financial data and market analytics, integrated by LUNARTECH.Insider logo highlighting business and technology trends by LUNARTECH.
      Entrepreneur logo showcasing startup and business innovation by LUNARTECH.Forbes logo representing a global leader in business, finance, and entrepreneurship insights, associated with innovation and industry expertise by LUNARTECH.Bloomberg logo symbolizing financial data and market analytics, integrated by LUNARTECH.Insider logo highlighting business and technology trends by LUNARTECH.
      Entrepreneur logo showcasing startup and business innovation by LUNARTECH.Forbes logo representing a global leader in business, finance, and entrepreneurship insights, associated with innovation and industry expertise by LUNARTECH.Bloomberg logo symbolizing financial data and market analytics, integrated by LUNARTECH.Insider logo highlighting business and technology trends by LUNARTECH.
      Overview

      One long session fills its own context. Subagents keep the main thread clear.

      Introduction to subagents is a 45-minute Academy course on handing work to helper agents, each with its own context window. You build subagents for jobs like code review and documentation, limit their tools, and learn when delegation pays off. Anthropic’s course page says it has no completion badge, so finishing it earns no credential; it has four lessons and no quiz.

      5Modules
      45Minutes
      4Skills
      7Roles
      What it covers

      Learn all the way down.
      Perform when it matters.

      Know how they work

      Explain separate context windows, how inputs are passed in, and how summaries come back to the main agent.

      Create custom subagents

      Ask Claude to write subagents for jobs such as code review and documentation, and adjust them.

      Make them reliable

      Use structured output formats, obstacle reporting and limited tool access so subagents behave predictably.

      Judge when to use them

      Spot where subagents help most, and avoid the common anti-patterns that waste them.

      Course outline

      From one context window
      to helpers with their own.

      5 modules25 lessonsSelf-paced

      We design this course ourselves. Anthropic issues the credential, and LUNARTECH is independent of Anthropic.

      A subagent is a helper with its own context window. You learn how work is handed in, why only a summary returns, and what that does to the main conversation.

      • The problem of a crowded context window
      • A subagent’s separate context
      • How inputs are passed in
      • How a summary comes back
      • Subagents compared with the main agent

      You build A diagram that traces a task into a subagent and its summary back out.

      You ask Claude to write a subagent for a real job, such as code review or documentation, then read what it produced and adjust it to fit.

      • Where subagent definitions live
      • Asking Claude to draft a subagent
      • A code review subagent
      • A documentation subagent
      • Reading and editing the definition

      You build A code review subagent and a documentation subagent, each tried on real code.

      A main agent can only use what comes back. You define structured output formats and make subagents report obstacles, so results are consistent and problems are not hidden.

      • Why free-form summaries fail
      • Defining a structured output format
      • Reporting obstacles instead of guessing
      • Handling a partial result
      • Testing the report format

      You build A subagent whose reports follow a fixed format and flag every obstacle.

      A subagent should only be able to do its job. You restrict its tools, give it a narrow purpose, and see how limited access makes behavior predictable.

      • Why limited tools help
      • Choosing a tool list per subagent
      • Read-only and write-capable subagents
      • Narrow purpose and clear descriptions
      • Checking what a subagent actually used

      You build A set of subagents with minimal tool lists, each matched to its job.

      Delegation has a cost. You learn where subagents help most, how to spot the common anti-patterns that waste them, and how to decide whether a task deserves one.

      • Tasks where subagents pay off
      • Parallel work and noisy tasks
      • Common anti-patterns
      • When a plain prompt is better
      • Reviewing a session for wasted delegation

      You build A review of one real session, marking where subagents helped and where they did not.

      Issued by
      Anthropic

      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.
      Here’s how you get there.

      Know where you start.

      Academy badge level. Check Anthropic’s official page for what it expects before you begin.

      Work through the course.

      Five 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.
      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

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      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.

      Course · 1 hourLaunching Your Data Science Career

      Strong portfolio

      Hands-on projects become work you can show, not just claim.

      Course · 60 hoursBuild Your Data Science Portfolio

      Resume and profile

      Personalized refinement, so what you send says what you can actually do.

      Course · 10 hoursPersonal Branding for Professionals

      Interview preparation

      Preparation for the questions that decide it, so you walk in ready.

      Course · 12 hoursMaster Deep Learning Interviews: 50 Q&A

      Network and search

      Connections with industry leaders, and an alumni network that stays with you.

      Course · 40 hoursData Science Career Playbook
      Reviews

      Real stories from the community.

      4.9out of 5, from 100+ reviews
      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.
      Farnia GhanizadehSerajAI Engineer
      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.
      Mahmoud A.Data Scientist
      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.
      Rod MorrissonHead of Data Science & AI
      I really appreciate your teaching style and the way you break down complex topics. It has been incredibly helpful.
      Narine P.Data Analyst
      After years working mainly with R for econometrics, I found your Python machine learning course a refreshing and engaging way to learn Python.
      Raphael J., PhDQuantitative Analyst
      As a Data Science graduate, I want to thank you for the effort you put into making videos to support growing data scientists.
      Stanley M.AI Engineer
      I’ve been following your work since taking your machine learning course, and I’m impressed by your practical approach to applying AI.
      Sai Eshwar G.Data Scientist
      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.

      A sample, for a course in the Academy. Only yours carries your name.
      Pricing

      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.
      One credential across them all.

      No single job owns it. Here’s where each role leans hardest, and where its work ends up.

      1. 01Basics
      2. 02Creating
      3. 03Design
      4. 04Using them
      • Review and docs are good jobs to hand off. The main session stays on the real task.

        Creating, Using them

        Software teams, Code review

      • Separate contexts keep long work from clogging. Structured results make delegation checkable.

        Basics, Design

        Software teams, Consulting

      • Narrow tools make a helper agent safer to share. Structured output lets a pipeline read what it returns.

        Design, Using them

        Software teams

      • Delegation works on tasks that are clear and bounded. Know the anti-patterns before the team adopts it.

        Using them

        Software teams, Code review

      • A reviewer agent sees the diff with fresh eyes. Its report comes back without the noise.

        Design, Using them

        Code review

      • A docs helper can read a whole module for you. You get back the key points, not the whole trail.

        Creating, Using them

        Documentation work

      • A security reviewer agent can check each change. Limit its tools so it reads and never writes.

        Design, Using them

        Code review

      • Software teams
      • Code review
      • Documentation work
      • Consulting
      Software Engineer

      Review and docs are good jobs to hand off. The main session stays on the real task.

      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.
      Few can engineer it. This is where that starts.

      +340%growth in open roles requiring AI skills

      Data source: Stanford AI Index 2026 & 2024 (Lightcast data), Indeed Hiring Lab, Hacker News “Who’s Hiring”. Aug–Nov 2026 (dashed) is an estimate from the trend.
      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.

      45 minutes, online course.

      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 Introduction to subagents.

      Learn to split a big task across parallel Claude subagents. Start with a free trial, or enroll in a plan and work through the course at your own pace. Anthropic issues the credential.

      5 modulesSelf-pacedIssued by AnthropicReviewed 5 November 2026

      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.