Agentic Workshop is live · free · last verified 22 Oct 2026 · viability monitor
Agentic Workshop
Free AWS workshop for building agentic workflows with Strands Agents, Bedrock AgentCore, and SageMaker AI
A cheap, credible route from reading about agents to running one in your own account. If you already write Python and know Lambda, this gets you through Strands Agents and Bedrock AgentCore and then rebuilding the same workflow in LangChain, LlamaIndex, and crewAI. It is not a managed workspace with a UI or a support SLA, so teams needing hosted infrastructure should look elsewhere.
Verdict generatedVerified 23d ago · liveness 69/100 · cite: rightaichoice.com/tools/agentic-workshop
- Software developers with Python and Lambda experience who want working agent code on AWS
- AWS practitioners after a hands-on two-hour introduction to agentic workflows
- Teams comparing AWS-native agent patterns against hosted agent platforms
- Builders who want MIT-0 licensed agent code they can adapt and ship
- Readers without basic AWS familiarity, Python, or terminal experience
- Teams that need a managed agent runtime or support SLA
- Users who need multi-cloud or vendor-neutral agent frameworks
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Skip this workshop if you need a hosted agent runtime you can deploy into today, or if your workloads must live outside us-west-2 — the modules are written to run only in that region.
Following along in your own AWS account incurs roughly $10 in usage, per AWS's own note, and that spend shows up on your regular AWS bill rather than on a workshop invoice.
Free to access through the AWS workshop catalog, with roughly $10 of AWS usage if you follow along in your own account. That puts it below any paid hosted agent platform for a first evaluation, and it competes with free vendor quickstarts rather than with subscription tools — the real cost is the two hours of developer time plus whatever you leave running before clean-up.
In short
Agentic Workshop — Free AWS workshop for building agentic workflows with Strands Agents, Bedrock AgentCore, and SageMaker AI. Best for Software developers with Python and Lambda experience who want working agent code on AWS, AWS practitioners after a hands-on two-hour introduction to agentic workflows, Teams comparing AWS-native agent patterns against hosted agent platforms. Free to use.
What is Agentic Workshop?
Agentic Workshop — Free AWS workshop for building agentic workflows with Strands Agents, Bedrock AgentCore, and SageMaker AI. Best for Software developers with Python and Lambda experience who want working agent code on AWS, AWS practitioners after a hands-on two-hour introduction to agentic workflows, Teams comparing AWS-native agent patterns against hosted agent platforms. Free to use.
Building Agentic Workflows on AWS is a free, self-paced workshop in the AWS workshop catalog for developers who want to write and deploy agent code rather than read another conceptual explainer. Every module runs on AWS-native services inside your own account, so models act autonomously, call tools, and finish multi-step tasks under your own credentials. The curriculum is five standalone modules. Module 1 develops production-ready agents with the Strands Agents SDK plus Amazon Bedrock AgentCore. Module 2 puts Amazon Bedrock behind open-source frameworks — LangChain, LlamaIndex, and crewAI. Module 3 covers non-chatbot agentic workflows on Amazon SageMaker AI. Module 4 is vibe coding agents in Kiro, AWS's agentic IDE, using Kiro CLI and Kiro IDE. An optional fifth module builds a chatbot that plans, uses tools, and reflects using the original Bedrock Agents approach, and Bedrock's code interpreter and long-term memory features appear along the way. It is pitched at 300 level: AWS says familiarity with Lambda, the terminal, and Python helps, and that no AI/ML experience is needed. Budget roughly two hours. You follow along in your own AWS account, which AWS notes will run about $10, and the workshop only works in us-west-2. All code is MIT-0 licensed with clean-up instructions so you can tear resources down afterward. Treat it as a build-it-yourself baseline rather than a product. You own the account, the deployed resources, and the bill. Teams weighing AWS-native agent patterns against a hosted agent workspace can use it to see what the AWS pieces actually require before committing.
Key features
- Five standalone workshop modules on building agentic workflows on AWS
- Module 1: production-ready agents with the Strands Agents SDK and Amazon Bedrock AgentCore
- Module 2: third-party frameworks LangChain, LlamaIndex, and crewAI with Amazon Bedrock
- Module 3: non-chatbot agentic workflows built with Amazon SageMaker AI
- Module 4: vibe coding agents in Kiro, AWS's agentic IDE, using Kiro CLI and Kiro IDE
- Optional module: planning chatbot with tools and reflection using the original Bedrock Agents approach
- Covers Amazon Bedrock code interpreter and long-term memory features
- Shows both chatbot and non-chatbot workflow patterns on Amazon Bedrock
- Hands-on setup for running the workshop in your own AWS account
- Clean-up instructions to tear down deployed resources
- Workshop code published under the MIT-0 license
- Self-paced format designed to finish in about two hours
- 300-level content pitched at software developers, no AI/ML experience required
- Runs in us-west-2 only
Behind the verdict
We'd reach for this when a developer needs to see what an AWS-native agent actually costs in wiring. Two hours, about $10 in your own account, and you come out the other side with a working Strands Agents build plus the same workflow rebuilt in LangChain, LlamaIndex, and crewAI. That side-by-side is the real payoff — most agent tutorials stop at one framework. Where it bites: everything lives in us-west-2, so if your org is pinned to another region you're adapting as you go. You also need Lambda, terminal, and Python fluency before the first module clicks; AWS labels it 300 level and means it. The five modules are standalone, which cuts both ways. You can jump straight to the Kiro vibe-coding module or the SageMaker AI non-chatbot workflows without finishing Module 1. But nothing ties the pieces into one deployable system, and there's no orchestrating narrative if you skip around. Compared to a hosted agent workspace, this is the opposite trade. You get MIT-0 code you can fork and clean-up instructions that keep the bill honest. You don't get a UI, a runtime someone else patches, or anyone to call when a deploy breaks. Teams evaluating the Strands Agents SDK or Kiro as part of their stack get real signal here before signing anything. Builders who want a managed runtime with a support SLA should pass — that's a different product category entirely.
Models under the hood
as of 2026-09-02
Limitations
- AWS states the workshop only works in us-west-2, so it will not run as written in another region.
- It is designed to be run at AWS events, and AWS notes that following along in your own account incurs costs of approximately $10.
- You need basic AWS knowledge, Python, terminal experience, and familiarity with AWS Lambda; this is a 300-level developer workshop rather than an introduction for non-technical readers.
- It is a learning resource, not a managed agent platform — there is no runtime to hand your agent to, and you are responsible for the AWS resources you deploy and for cleaning them up.
- The curriculum covers chatbot and non-chatbot workflows plus planning agents with tools, but it is scoped to what the five modules demonstrate rather than a full survey of agent architectures.
as of 2026-10-22
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Is Agentic Workshop still active?
Agentic Workshop is live · free · last verified 22 Oct 2026 · viability monitor.
Viability score
How well maintained and how widely used is Agentic Workshop? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: November 2026
How we score →What do users say about Agentic Workshop?
What people actually say about Agentic Workshop — is it worth it?
We ran a structured research pass across product reviews, community discussions, and post-purchase forum threads to surface the patterns vendors won't publish themselves. Below: the recurring strengths, the hidden costs people mention most, and the cohort that consistently regrets adopting this tool.
ResearchedDiscussed by users across 3 sources (YouTube, GitHub, Lemmy) · researched Nov 9, 2026.
Weighted by the 37 posts each of 3 sources contributed.
- +Free, MIT-0 licensed code you can inspect, adapt, and reuse
- +Covers both Strands/Bedrock AgentCore and open-source frameworks like LangChain and crewAI
- +Includes non-chatbot SageMaker AI workflows, which most tutorials skip
- +Two-hour format forces focus; you get working agent code, not slides
- +Maintainers close issues quickly — two bugs were resolved within weeks
- −Self-paced mode is broken: Module 2 needs event-only Workshop Studio variables
- −Only works in us-west-2, a real obstacle for non-US or regulated teams
- −Multiple tutorials assume tool access the agent doesn't actually have
- −Roughly $10 AWS cost plus cleanup work is on the learner
- −Very little community discussion or reviews to learn from before starting
- • About $10 in AWS usage for the workshop resources
- • Time spent debugging self-paced environment setup
- • Cleanup effort to avoid lingering charges
How we verified this
Every listed fact about Agentic Workshop — pricing, features, links, status — is re-read from the vendor's own pages by our verification pipeline and each change is logged with a date; the last pass ran on 22 Oct 2026. Analysis is drafted with AI models and checked against our editorial standards before publishing; see how we verify.
Verification history
We have re-verified Agentic Workshop 14 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — changed pricing tiers, description
- — changed pricing tiers
- — changed description, our verdict, pricing tiers
- — changed description, pricing tiers, who should skip it, our verdict, summary
- — changed switching out, who should skip it, summary, our verdict, features, hidden costs, setup time, description, switching in, pricing fit
- — changed domain expiry
Showing the 6 most recent of 14 verification passes.
Free to cite with attribution — this page re-verifies continuously.
How much does Agentic Workshop cost in 2026?
Agentic Workshop: Free to use. Pricing last verified 22 Oct 2026.
Plans compared
Every published Agentic Workshop tier, its price as the vendor publishes it, who it fits, and what it adds over the tier below. The 12-month cost projection follows.
| Plan | Price | Billing | Who it's for |
|---|---|---|---|
| Free Workshop | Free | — | Software developers with Python and AWS Lambda experience who want to build and run an agent in their own AWS account before buying anything.Adds: Starting tier: full access to all five standalone modules, MIT-0 licensed code, and clean-up instructions, with roughly $10 of AWS usage billed to your own account. |
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Where the pricing makes sense
The company stage and team size where Agentic Workshop's pricing actually pencils out — and where peers do it cheaper.
Free to access through the AWS workshop catalog, with roughly $10 of AWS usage if you follow along in your own account. That puts it below any paid hosted agent platform for a first evaluation, and it competes with free vendor quickstarts rather than with subscription tools — the real cost is the two hours of developer time plus whatever you leave running before clean-up.
Has Agentic Workshop's pricing changed?
No plan price for Agentic Workshop has moved since we began logging in Aug 2026; the pricing page is re-read on every verification pass.
Who should pick Agentic Workshop?
Pick Agentic Workshop if you are Software developers with Python and Lambda experience who want working agent code on AWS, AWS practitioners after a hands-on two-hour introduction to agentic workflows, Teams comparing AWS-native agent patterns against hosted agent platforms, Builders who want MIT-0 licensed agent code they can adapt and ship.
Look elsewhere if you are Readers without basic AWS familiarity, Python, or terminal experience, Teams that need a managed agent runtime or support SLA, Users who need multi-cloud or vendor-neutral agent frameworks, Anyone who must work in a region other than us-west-2.
Skip it if Skip this workshop if you need a hosted agent runtime you can deploy into today, or if your workloads must live outside us-west-2 — the modules are written to run only in that region.
GeneratedReal-world workflow fit
Concrete scenarios for the personas Agentic Workshop actually fits — and what changes day-one when you adopt it.
You take Module 1 on a Tuesday afternoon, stand up a Strands Agents workflow on Bedrock AgentCore in your own account, and run the clean-up section before you log off.
Outcome: You end the day with a working agent and a concrete sense of the AWS pieces involved, for about $10 in usage instead of a platform evaluation cycle.
You work Module 1 and then Module 2, rebuilding the same workflow in LangChain, LlamaIndex, and crewAI against Amazon Bedrock.
Outcome: You get a like-for-like comparison of four approaches from identical requirements, which is far more defensible in a design review than reading benchmark posts.
You follow Module 3 to build an agentic workflow on Amazon SageMaker AI that does not depend on a chat interface, then use Module 4's Kiro CLI and Kiro IDE to debug it.
Outcome: You leave with a non-chatbot workflow pattern and a debugging loop you can carry into a production design.
Use cases
- Learn how to build a production-ready agent with the Strands Agents SDK on Amazon Bedrock AgentCore.
- Compare agent frameworks by rebuilding the same workflow in LangChain, LlamaIndex, and crewAI.
- Build an agentic workflow that does not rely on a chat interface using Amazon SageMaker AI.
- Vibe-code and debug an agent in Kiro, AWS's agentic IDE, from prototype to production.
- Build a planning chatbot that uses tools and reflection with the original Bedrock Agents approach.
- Run a hands-on agent workshop in your own AWS account for roughly $10 in usage.
- Evaluate AWS-native agent architecture patterns before committing to a managed platform.
Setup time & first value
How long it actually takes to get something useful out of Agentic Workshop — broken out by persona, not the marketing-page minute.
Roughly two hours end to end per AWS's stated duration. Expect a short extra step to confirm your AWS account can deploy into us-west-2 and to have Python and terminal tooling ready, since AWS lists Lambda, terminal, and Python familiarity as helpful prerequisites. Clean-up adds a few minutes at the end.
Switching to or from Agentic Workshop
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From a written agent tutorial: replace the blog-post snippets with Module 1's Strands Agents SDK and Bedrock AgentCore walkthrough so you deploy into a real account.
- →From a hosted agent platform trial: run Module 1 to see what the AWS-native equivalent requires before you commit budget to a subscription.
- →From prompt-only LLM experimentation: start at the Understanding Agentic Workflows section, then take Module 2 to add tools and framework structure.
- ↗To a managed agent platform: take your Module 1 Strands Agents workflow and re-host it where an SLA and runtime are handled for you.
- ↗To a self-managed production stack: keep the MIT-0 licensed workshop code as a starting point and add your own deployment, monitoring, and support processes.
Integrations
Resources & guides
- Resourcecatalog.workshops.aws
En US · Agentic Workshop
Helpful link from catalog.workshops.aws
- Resourcecatalog.workshops.aws
Workshop Setup · Agentic Workshop
Helpful link from catalog.workshops.aws
- Resourcecatalog.workshops.aws
Clean Up · Agentic Workshop
Helpful link from catalog.workshops.aws
- Resourcecatalog.workshops.aws
Workshop Code · Agentic Workshop
Helpful link from catalog.workshops.aws
Tutorials & Learning
YouTube returned 6 videos for “Agentic Workshop”, and we withheld 6: 6 did not mention Agentic Workshop. We are showing none, because we could not prove any of them are about Agentic Workshop.
Official links
What are the best Agentic Workshop alternatives?
The closest alternatives to Agentic Workshop we list are K Dense Byok, SapienAI and Semantic Scholar. Ranked by direct product-type match, not category overlap.
| Alternative | Pricing | Starts at | Last verified |
|---|---|---|---|
| K Dense Byok | Freemium | Pricing not published | — |
| SapienAI | Freemium | Pricing not published | — |
| Semantic Scholar | Free | Free | — |
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Semantic Scholar
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Tools that pair well with Agentic Workshop
Common stack mates teams adopt alongside Agentic Workshop, with the specific reason each pairing earns its keep.
K Dense Byok
K-Dense BYOK runs 326 scientific workflows as a free desktop AI co-scientist on the model keys you already own.
SapienAI
SapienAI is an open, self-hostable agentic research workspace that unites AI agents with collaborative LaTeX, Typst and Markdown writing.
Semantic Scholar
Free AI-powered scientific paper search with TLDR summaries and citation graphs across 241M papers
Agentic Workshop vs its closest rival
Agentic Workshop's closest head-to-head is with Praktika.
Our Agentic Workshop vs Praktika verdict written Jul 3, 2026 is more than 90 days old, so it is being re-reviewed against current data and is not shown.
Frequently asked questions
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