AWS generative AI development · credential observed October 5, course outlines October 6, 2026
Build generative AI applications: choose practical training or AIP-C01 preparation
Start with the application you need to build, evaluate or secure. This professional exam targets experienced developers; passing it does not demonstrate that you have operated a production system.
Best fit
Developers with application-building experience and a specific generative AI implementation gap.
Consider instead
If you are new to programming or cloud development, begin with those foundations. Choose AI literacy training for a business-level adoption decision rather than buying a professional developer exam.
Before paying
Your selected package total, seat, purchased labs and access, the prep plan’s contents and personal exam booking remain unverified.
No-contact next step
Compare the official scope and two distinct classroom outlines; use a fictional design exercise to identify the support you need.
Exam scope and recommended background
AWS currently lists AIP-C01: 180 minutes, 75 multiple-choice or multiple-response questions, Pearson VUE testing center or online proctoring, in English, Japanese, Korean and Simplified Chinese. The current guide specifies 65 scored and 10 unscored questions, with minimum passing score 750 on a 100–1,000 scale. That is not a raw percentage or a pass-probability claim. Personal booking and accommodations were not tested.
The exam guide recommends two or more years building production-grade applications on AWS or with open-source technologies, general AI/ML or data-engineering experience, and one year implementing generative AI solutions. This is target-candidate preparation advice, not a verified work-history admission check. AWS says no specific prior certification is required before preparation; personal identity, age, agreement, accommodations and booking conditions remain separate.
Foundation Model Integration, Data Management, and Compliance: 31% of scored content
Implementation and Integration: 26% of scored content
AI Safety, Security, and Governance: 20% of scored content
Operational Efficiency and Optimization for GenAI Applications: 12% of scored content
Testing, Validation, and Troubleshooting: 11% of scored content
These weights describe exam coverage, not demonstrated mastery or study duration. Advanced model training, advanced ML techniques and feature engineering are outside the exam’s target. No retirement deadline was established by the observed listing.
Compare preparation for your development task
Free public exam-guide reading
Choose when: You need to find the specific implementation or evaluation gap before buying.
Free public scope reading; not a complete course or practice environment.
Evidence and entry requirements
Useful evidence: The observed official guide describes five weighted exam families and target experience.
Confirm first: Public reading is not a complete free course, operated lab, personal account entitlement or readiness score.
Choose when: The credential is an explicit requirement and you want structured exam preparation.
Plan contents, subscription price and personal practice access unverified.
Evidence and entry requirements
Useful evidence: The observed credential page links this exact AWS Skill Builder plan.
Confirm first: Its observed response is a JavaScript-required shell. Contents, free-versus-paid split, subscription invoice, practice exams and labs are unverified; no login or enrollment was performed.
Choose when: You need a focused implementation course using Amazon Bedrock and its application tools.
Observed 2026-10-06: Advanced; two-day classroom outline, contact hours unknown. Tuition and purchased lab access require confirmation; course days are not personal study effort.
Evidence and entry requirements
Useful evidence: The original three-page copyright 2025 outline describes eight named labs across application APIs, conversation, retrieval, integration, evaluation, responsible AI and agents. Physical page 1 describes presentations, demonstrations, labs and group exercises; page 2 gives recommended background and pages 2–3 describe topics/labs. A public outline is not full AIP-C01 coverage, a verified delivered revision or demonstrated production competence. Selected seller, tuition, seats, contact hours, personal study effort, permitted account/compute use, operated exercises, feedback, access duration and voucher inclusion remain unknown. Copyright 2025 is not delivered-version proof. No account, enrollment, exercise, purchase or charge was operated.
Confirm first: The provider recommends completing the Generative AI Essentials instructor-led course, intermediate Python proficiency and AWS familiarity. This is recommended course background, not verified mandatory employment or certification admission. Personal entry and permitted practice require confirmation.
Choose when: You already build applications and need broader design, governance, evaluation and operational support.
Observed 2026-10-06: Advanced; three-day instructor-led outline, contact hours unknown. Tuition and purchased lab access require confirmation; course days are not personal study effort.
Evidence and entry requirements
Useful evidence: The original four-page copyright 2025 outline explicitly titles three labs on retrieval augmentation, conversation and Guardrails on physical page 3; do not infer one lab per module. Physical page 1 gives instructor-led format and activities, page 2 gives recommended background, and pages 3–4 give topical scope. A public outline is not full AIP-C01 coverage, a verified delivered revision or demonstrated production competence. Selected seller, tuition, seats, contact hours, personal study effort, permitted account/compute use, operated exercises, feedback, access duration and voucher inclusion remain unknown. Copyright 2025 is not delivered-version proof. No account, enrollment, exercise, purchase or charge was operated.
Confirm first: The provider recommends AWS Technical Essentials and Generative AI Essentials on AWS, two or more years building production-grade applications on AWS or open-source technologies, general AI/ML or data-engineering experience, and one year implementing generative AI solutions. These are course preparation recommendations, not verified mandatory employment or credential admission. Personal entry and permitted practice require confirmation.
The observed AWS classroom directory links these exact three-page and four-page outlines, both copyright 2025. A directory listing does not verify a particular seller, schedule or purchased package. Two or three course days are not your preparation-time estimate or verified live contact hours.
Ask who supplies the AWS environment, which permissions and services are available, who pays usage charges, how access ends, and who reviews your implementation. No account, free trial, learner submission or charge is needed for the paper exercise below.
For official instruction, match the exact seller and delivering organization in the AWS Training Partner directory. Delivery, digital training and resale are distinct capabilities; a logo or similarly named company is insufficient. For the same official course and revision, compare lab entitlement, instructor feedback, timetable, recordings, access expiry and total cost.
Certification skills describe assessment. This outline describes teaching; ask the seller which revision, exercises and support you receive.
Published course modules (11 topics)
Model selection and configuration
Advanced data processing
Vector databases and retrieval
Prompt engineering and governance
Agent frameworks and Bedrock AgentCore
Safety and security
Performance and cost
Monitoring and observability
Testing and improvement
Enterprise integration
Review
Recommended course background: AWS recommends Technical Essentials and Generative AI Essentials, production application development and AI/ML or data-engineering knowledge, plus GenAI implementation experience. Course recommendations are separate from certification admission.
Published practice and lab work
Three explicitly named labs: RAG applications, Bedrock API conversations and Guardrails.
Lab descriptions do not establish your purchased environment, permissions or independently reviewed work.
Edition and access: The three-day advanced course and two-day developer course below teach different scopes. Neither is a complete AIP-C01 exam-preparation guarantee. Visible yearless 6:30–2:30 PST calendars conflict with structured 9:30–5:30 PST dates. Confirm the full dated timetable, time zone and seat. Voucher, personal lab account, usage charges, recordings, feedback, tax and cancellation terms are unverified.
Recommended course background: AWS recommends Generative AI Essentials, intermediate Python and AWS familiarity. Ask the seller to reconcile its recommended preparation with the delivered revision.
Eight named labs span API development, streaming, conversations, RAG, open-source patterns, evaluation, Guardrails and agents with Knowledge Bases.
The introduction is separate from ten numbered modules. Learning Tree’s older eight-module agenda includes project planning and LangChain; it is not established as this exact revision. Visible yearless 6:30–2:30 PST calendars conflict with structured 9:30–5:30 PST dates. Confirm the full dated timetable, time zone and seat. Voucher, personal lab account, usage charges, recordings, feedback, tax and cancellation terms are unverified.
Course 1244, two-day live reference. Its eight-module agenda differs from the current ten-module issuer outline. Confirm actual delivered revision; fresh dollar currency and government eligibility held.
Dated US category reference names the two-day developer and three-day advanced courses separately. A matched individual package, current price, delivered edition and personal access were not established.
New Horizons’ AWS catalog calls it a Select Training Partner. This is a provider statement; confirm the selected legal seller and region with AWS. A generic partner claim or Marketplace listing does not verify every course package.
Linked by the AWS AI role page. A distinct developer learning plan; selected free/paid access, labs and expiry need confirmation. No full AIP-C01 coverage or classroom-equivalent edition is assumed.
The AWS role page describes Bedrock APIs and AWS-LangChain instruction. This separately named digital course is not either live classroom package; confirm current content, price and account/practice access.
New Horizons
Three-day live virtual/private course, CourseID 3606328E. October 15 observation: $2,025 USD per course; voucher and purchased access unknown.
Course 1931, three-day live reference with eleven topic families and three named lab descriptions. Fresh dollar currency and buyer eligibility held; confirm delivered edition, legal seller and practice entitlement.
These prices describe named packages at the recorded dates. Confirm the checkout total, teaching format, lab license, feedback, vouchers and cancellation terms. A calendar is not a confirmed seat. A practical AWS course is separate from exam registration and complete blueprint coverage.
2 dated options shown. Prices are in USD; check the date and package before using one in a budget.
Live instructor-led courses
New Horizons
AWS Certified Generative AI Developer - Professional
$2,025 per course
Advanced Generative AI Development on AWS (CourseID 3606328E)
Delivery
virtual live
Exam
Inclusion to confirm
Buyer
Commercial
Observed
3 catalogue day(s) of virtual instructor-led instruction; private group quote is separate. Visible yearless 6:30–2:30 PST calendars conflict with structured 9:30–5:30 PST dates. Confirm the full dated timetable, time zone and seat. Voucher, personal lab account, usage charges, recordings, feedback, tax and cancellation terms are unverified. Two-day developer and three-day advanced curricula are distinct products, not like-for-like savings or guaranteed complete AIP-C01 preparation.
AWS Certified Generative AI Developer - Professional
$1,390 per course
Developing Generative AI Applications on AWS (CourseID 3605076E)
Delivery
virtual live
Exam
Inclusion to confirm
Buyer
Commercial
Observed
2 catalogue day(s) of virtual instructor-led instruction; private group quote is separate. Visible yearless 6:30–2:30 PST calendars conflict with structured 9:30–5:30 PST dates. Confirm the full dated timetable, time zone and seat. Voucher, personal lab account, usage charges, recordings, feedback, tax and cancellation terms are unverified. Two-day developer and three-day advanced curricula are distinct products, not like-for-like savings or guaranteed complete AIP-C01 preparation.
Browse all dated training prices. Compare the exact course and complete package rather than treating a format price gap as like-for-like savings.
Keep registration, tuition and renewal separate
The issuer lists 300 USD per exam attempt. Tax, local-currency invoice, retakes, course tuition, subscriptions and environment usage are separate or unknown. Dated public live tuition is shown above; a buyer-specific quote, seat, voucher inclusion and total ownership budget remain unverified.
Credential-specific renewal: The exact Generative AI Developer Professional renewal row lists passing the latest version of the exam for a three-year extension. It does not list the paid Skill Builder maintenance option shown for neighboring Professional credentials. A holder discount is described by AWS, but personal entitlement and the final retake invoice were not verified. Do not assume a maintenance option offered for Solutions Architect or DevOps Professional also applies to this credential.
Skills and associated work
The curriculum supports AWS application architecture, prompt engineering, security controls and troubleshooting. The Software Developer association is an editorial task mapping, not a hiring requirement or proof of production competence. Application integration differs from developing or training foundation models.
No certification-specific salary, causal pay premium or generative AI job-market estimate is established here. Compare a real role’s responsibilities, location, experience and employer requirements before treating a broad occupational salary as your likely offer.
Original fictional work sample and review rubric
A fictional team wants an assistant to answer questions using approved public product manuals. Draw the ingestion, retrieval, model invocation, access control and evaluation boundaries. Choose a small evaluation set with answerable, unsupported and conflicting-source questions; define citation checks, refusal behavior, latency and cost limits.
Changed condition: a document contains instructions to reveal other users’ information, and retrieval quality declines after a version update. Explain how you would distinguish malicious document content from trusted instructions, check permissions, compare retrieval and generation errors, and roll back safely before changing production.
Review rubric: traceable source handling, appropriate access boundaries, measured retrieval and output evaluation, justified tradeoffs and reversible validation. This original fictional exercise is not an exam question, scored readiness check or hiring prediction. Use public or invented material; do not submit employer documents or learner data.