AI BootCamps (5 Courses)
Career Oriented
Course Category Career Oriented
Course Category 
Google Rating
Professionals Upskilled
Live Cohorts Delivered
Enterprise Teams Trained
AWS Bedrock Agents is the enterprise agentic AI platform powering production deployments at companies like Robinhood, Epsilon, and Thomson Reuters and in a market where AWS holds 35% of North American cloud share, Bedrock proficiency is fast becoming a standard job requirement for cloud and backend engineers.
This 5-hour live add-on takes your existing agentic AI skills and deploys them on AWS. You will architect Bedrock Agents using the ReAct loop, connect Lambda functions as agent tools, wire in Knowledge Bases for RAG, configure Guardrails for content filtering and PII protection, and set up IAM roles with least-privilege access all in a real AWS console environment.
The bootcamp culminates in the AWS Agentic AI Demonstrated badge lab: a 90-minute live assessment in a provisioned AWS environment where you troubleshoot broken agents, fix misconfigured Guardrails, and repair failed Knowledge Base syncs. Pass it, and Amazon Web Services issues your badge via Credly shareable directly to LinkedIn and permanent on your profile.
This module also maps directly to the AWS Certified Generative AI Developer (AIP-C01) exam, making it the ideal entry point for professionals targeting full AWS GenAI certification.
5 hours of live instruction: 3 hands-on labs, badge attempt included in the same session.
AWS Agentic AI Demonstrated badge, a real Amazon Web Services-issued Credly credential, not a course completion certificate.
Covers the full Bedrock Agents stack: ReAct loop, Lambda tools, Knowledge Bases, Guardrails, and IAM.
Instructor-led diagnostic walkthrough before the badge lab, you know exactly what to look for before the clock starts.
Bridges to AIP-C01, the full AWS Certified Generative AI Developer exam path explained.
To fast-track your career and achieve
I enrolled in the AWS Bedrock Agents certification to understand how Agentic AI can be implemented on AWS. The course covered Amazon Bedrock, AI agents, orchestration, and enterprise use cases in a very practical way. Every session included hands-on demonstrations, which made it much easier to understand the concepts.
The trainer explained each topic clearly and answered every question with patience. I now feel more confident building AI-powered solutions on AWS and discussing Agentic AI with my team. I would definitely recommend this certification to anyone working in cloud or AI.
As a Solutions Architect, I was looking for a course that focused on real implementation rather than just theory. The AWS Bedrock Agents certification met my expectations. The examples, labs, and live demonstrations helped me understand how to design and deploy Agentic AI solutions using Amazon Bedrock.
The learning experience was well structured, and the support from the training team was excellent throughout the program. This certification has added practical skills that I can apply in client projects immediately. Worth the investment.
I joined this certification to better understand how Agentic AI is evolving on AWS. The course was easy to follow, even for someone who isn’t writing code every day. The trainer explained the architecture, AI agents, and enterprise applications using practical examples that made everything easy to relate to.
The hands-on approach and real-world use cases were the biggest strengths of the program. It has helped me confidently participate in AI initiatives within my organization. I highly recommend this certification to professionals looking to build practical Agentic AI skills on AWS.
Yes, it is a real Amazon Web Services credential issued via Credly. It is a microcredential not a course completion badge. It means you only receive it after passing a live, timed 90-minute lab assessment in a real AWS environment. The badge is permanent on your Credly and LinkedIn profile and does not expire.
Yes, you need your own AWS account — the free tier is sufficient for all labs in this module. The badge lab itself runs in a provisioned AWS environment, so there are no additional charges for that portion. You will also need an AWS Skill Builder subscription to access the badge lab, which costs $29/month or $449/year.
The prerequisite is completion of AgileFever’s core Agentic AI Bootcamp (56 hours). The add-on builds directly on those foundations — it does not re-teach agentic concepts from scratch. If you have equivalent experience building agentic systems from another program, contact us and we can assess your readiness.
The 90-minute lab puts you in a live AWS environment with broken or misconfigured Bedrock agents and asks you to troubleshoot, repair, and enhance them. Common scenarios include fixing a broken Lambda tool, resolving a misconfigured Guardrail, and repairing a failed Knowledge Base sync. If you do not pass on the first attempt, you can reattempt through AWS Skill Builder — the instructor walkthrough before the lab is specifically designed to prepare you to pass in the first attempt.
Yes — the value for experienced Bedrock users is primarily the badge lab itself and the structured diagnostic approach the instructor teaches before it. Knowing how to build agents and knowing how to troubleshoot broken ones under time pressure are different skills. Most candidates who consider themselves Bedrock-familiar still find the lab scenarios challenging without structured preparation.
This add-on covers the Bedrock Agents domain in significant practical depth, which maps directly to content tested in AIP-C01. It is not a full AIP-C01 prep course, but it gives you a strong hands-on foundation in the Bedrock Agents portion of that exam. The final session includes a walkthrough of how the add-on maps to AIP-C01 and what additional study is needed to pursue the full certification.
For teams already operating in AWS environments, Bedrock Agents provides the native integration layer — IAM, S3, Lambda, VPC, CloudWatch — that standalone API calls do not. Enterprise procurement, security, and compliance teams often require staying within the AWS ecosystem. Bedrock Agents also abstracts significant infrastructure complexity, including session management, tool invocation, and Knowledge Base RAG, so your teams ship faster with fewer moving parts to manage.
This add-on track is specifically designed for US and Canada IT professionals because the content is oriented around AWS-native enterprise environments where AWS holds 35% of the North American cloud market. However, the technical content and badge lab are not geographically restricted — the AWS Agentic AI Demonstrated badge is a global Credly credential. Contact AgileFever if you are outside the US/Canada and want to discuss availability.
The module covers model selection across Claude 3.5 Sonnet (Anthropic), Llama 3 (Meta), and Titan (Amazon) — with specific instruction on selection criteria for different agent use cases. Bedrock now provides access to nearly 100 foundation models, and understanding which model to invoke for which task is a core skill the bootcamp covers.
Yes — corporate cohorts are available with flexible scheduling and bulk pricing. The add-on can be delivered as a half-day intensive or split across two sessions, and it can be scheduled immediately following a core bootcamp batch or as a standalone corporate training session. Contact AgileFever at training@agilefever.com for a quote.