Frequently asked questions
Short answers about the three SQValex courses (AI Forward Deployed Engineer, AI-Led Quality Engineering, and Generative AI & Agentic AI), built by COGNEXTRA IT Consultancy Services. Cannot find yours? Write to support@sqvalex.com or ask in the chat on sqvalex.com.
Which course should I start with, and are the courses sold together?
If you want to build and ship AI systems for clients, start with AI Forward Deployed Engineer. If your work is testing and quality, start with AI-Led Quality Engineering. If you use AI at work and want to build with it, safely and with evidence that it works, start with Generative AI & Agentic AI. They are separate courses, each bought on its own (there is no bundle). Each has a free first lesson, so you can try it before you pay. For the teams around the engineers there is the AI-Enabled Delivery track: if you use AI at work and answer for the result, start with AI-Era Delivery Foundations (four weeks); if you write requirements, AI-Augmented Business Analysis; if you own a product, AI-Enabled Product Ownership.
How do the courses compare?
Here is how the three courses compare. They are separate purchases (there is no bundle), and each has a free first lesson. The three AI-Enabled Delivery courses are a separate track: ask me to compare the delivery courses to see them side by side. FDE: weeks: 12; free first lesson: Week 1's lab; certificate: CC-AIFDE; best for: Building and shipping AI for clients. AI-Led QE: weeks: 16; free first lesson: One in each testing lab; certificate: CC-AIQE; best for: Testing and quality work. Generative AI: weeks: 8; free first lesson: Week 1, to read and watch; certificate: CC-GAI; best for: Using AI at work, safely.
How much do the SQValex courses cost?
Each course is a separate purchase: there is no bundle. Prices include GST. You can pay once; where a course offers a monthly route it is shown beside the one-time price, as a fixed number of monthly payments that are taken automatically and stop by themselves after the last one. There is no subscription that renews. A GST invoice is emailed for every payment. Paying is by UPI, card or net banking through Razorpay. Bank EMI and pay-later are not offered. The current prices, the monthly route where there is one, the access period and any launch offer are shown on each course page on sqvalex.com and in the chat.
Can I pay monthly instead of all at once?
Some courses offer an optional monthly route beside the one-time price: a fixed number of equal monthly payments, shown on the course page and on the payment screen. It is not a subscription: the payments stop by themselves after the last one and nothing renews. The first payment is taken when you set up the mandate (UPI Autopay, debit card e-mandate or another RBI-approved mechanism), and you are told at least 24 hours before each charge. Each monthly payment gives you access for the month it pays for. The total of the monthly payments can be higher than the one-time price, and codes and launch offers apply to the one-time payment only. Paying once is by UPI, card or net banking. Bank EMI on a card and pay-later are not offered.
How do I stop my remaining monthly payments?
You can stop the remaining payments at any time: use "Stop remaining payments" on the course's enrolment page, cancel the mandate in your bank's or UPI app, or write to support@sqvalex.com at least 24 hours before the next charge. Stopping means the payments that were not yet due are not taken and you do not owe them. Payments already taken are not refunded, and your access runs to the end of the last month you paid for. You can buy the course again later.
Is there a discount or launch offer?
From time to time there is a launch offer with a discount code, entered on the enrolment page of the course after you create your free account. A code applies to the one-time payment only. Any current offer, and the places left, is shown on sqvalex.com and in the chat.
How do I use a coupon or promo code?
Create your free account, open the enrolment page of the course and enter the code where the page asks for one. A code applies to the one-time payment only, never to the monthly option (Terms of Service & Payment Terms, section 3), and the amount you pay is the one shown on the payment screen. A code can have a limited number of places or an end date; if it cannot be used, the page says so.
What is free, and is there a free trial?
AI Forward Deployed Engineer: A free account lets you open Week 1's lab (the client discovery lab), the Week 1 page and the outline of all twelve weeks. You can also take the free skills check to see where you would start. There is no free trial of the full course: the other weeks, the quizzes, the code labs, the interviews and the certificate open when you enrol. AI-Led Quality Engineering: A free account lets you play the first lesson in each of the four testing labs (Security, Accessibility, API testing and Performance), and gives you the Start here guide and the glossary and shows you the outline of the 16 weeks. You can also take the free skills check, see inside the labs, download the brochure and a sample certificate, and read the full syllabus. There is no free trial of the full programme: the weekly lessons, the other lab lessons, the module guides, Test Management, the real scanning tools and the AI features unlock when you enrol, from inside your account. Generative AI & Agentic AI: Week 1 is free to watch and read: its video, its chapter and the list of its labs. You can also take the free skills check to see where you would start. Running the labs, the quiz, the other weeks and the final exam open when you enrol. AI-Era Delivery Foundations: Week 1 is free to watch and read: its video, its chapter and the list of its labs. You can also take the free skills check to see where you would start. Running the labs, the quiz, the other weeks and the final exam open when you enrol. AI-Augmented Business Analysis: Week 1 is free to watch and read: its video, its chapter and the list of its labs. You can also take the free skills check to see where you would start. Running the labs, the quiz, the other weeks and the final exam open when you enrol. AI-Enabled Product Ownership: Week 1 is free to watch and read: its video, its chapter and the list of its labs. You can also take the free skills check to see where you would start. Running the labs, the quiz, the other weeks and the final exam open when you enrol.
What is the free skills check?
Every course has a free skills check: a few multiple-choice questions, scored straight away, with a suggestion for where to start and a free first lesson to try. You do not need an account, and nothing you answer is saved.
Can I see inside a course before I pay?
Yes, in several ways, none of them needing a card: the free first lesson of each course (open with a free account), the free skills check, a tour of the screens, a look inside the labs, the introduction video on each course page, the Guides, the syllabus on each course page, the brochure and a sample certificate.
Are the courses live or self-paced, and how much time does it take each week?
AI Forward Deployed Engineer: Self-paced and online. There are no live classes and no batches: you start the moment you enrol and work at your own pace. Each week takes about 7 to 8 hours. The access period is shown on the course page, and extensions are possible at our discretion. AI-Led Quality Engineering: It is entirely self-paced and online. There are no live classes and no batches: you start the moment you enrol and work at your own pace, with no fixed weekly hours. The access period is shown on the course page, and extensions are possible at our discretion. Generative AI & Agentic AI: Self-paced and online, with no live classes or batches. One chapter a week, and each week opens when you pass the one before it. The access period is shown on the course page, and extensions are possible at our discretion. AI-Era Delivery Foundations: Self-paced and online, with no live classes or batches. One chapter a week, and each week opens when you pass the one before it. The access period is shown on the course page, and extensions are possible at our discretion. AI-Augmented Business Analysis: Self-paced and online, with no live classes or batches. One chapter a week, and each week opens when you pass the one before it. The access period is shown on the course page, and extensions are possible at our discretion. AI-Enabled Product Ownership: Self-paced and online, with no live classes or batches. One chapter a week, and each week opens when you pass the one before it. The access period is shown on the course page, and extensions are possible at our discretion.
How long are the courses, and what if I do not finish in time?
AI Forward Deployed Engineer: Twelve weeks of content, labs and assessments, plus two optional elective weeks. The access period is shown on the course page. If you do not finish in time, an extension is possible at our discretion. Your certificate, once earned, does not expire and can always be verified. AI-Led Quality Engineering: The programme is 16 weeks of content, labs and assessments. The access period is shown on the course page. If you do not finish in time, an extension is possible at our discretion. Your certificate, once earned, does not expire and can always be verified. Generative AI & Agentic AI: Eight weeks, one chapter a week. The access period from the day you enrol is shown on the course page. A certificate, once earned, does not expire and can always be verified. AI-Era Delivery Foundations: Four weeks, one chapter a week. The access period from the day you enrol is shown on the course page. A certificate, once earned, does not expire and can always be verified. AI-Augmented Business Analysis: Eight weeks, one chapter a week. The access period from the day you enrol is shown on the course page. A certificate, once earned, does not expire and can always be verified. AI-Enabled Product Ownership: Eight weeks, one chapter a week. The access period from the day you enrol is shown on the course page. A certificate, once earned, does not expire and can always be verified.
Who are the courses for, and do I need experience?
AI Forward Deployed Engineer: It is for software engineers, consultants, product managers and technical leads who want to build and ship AI for clients. The code labs are in your own GitHub repository, so be comfortable with code. Week 1's lab is free and is about client discovery and the business case, so it is a good way to see whether the course suits you. The free skills check shows where you would start. AI-Led Quality Engineering: It is for QA and test engineers, automation engineers, developers, and students or early-career engineers. You do not need testing experience: Week 1 starts from the foundations. You do not need prior automation experience either, but basic Python helps for the automation weeks (8 to 11), which teach Playwright and Page Objects step by step. An optional Week 0 bridge checks Python, Git, HTTP, SQL and terminal basics. The free skills check shows where you would start. Generative AI & Agentic AI: Students and working professionals (engineers, analysts, testers, product and operations people) who want a hands-on path from the basics to production-grade agentic systems. No machine-learning background is needed; comfort with reading JSON helps. The free skills check shows where you would start. AI-Era Delivery Foundations: Anyone on a delivery team who uses AI at work and answers for the result: analysts, product owners, project and programme managers, testers and operations people. You do not need to code or to know how AI works. The free skills check shows where you would start. AI-Augmented Business Analysis: Business analysts, systems analysts, consultants and product people who now receive AI-drafted stories, process maps and requirement documents. You do not need to code. Knowing what a requirement is helps; the free skills check shows where you would start. The free skills check shows where you would start. AI-Enabled Product Ownership: Product owners, product managers and the analysts and leads who work with them. You do not need to code or to have shipped an AI feature. The free skills check shows where you would start.
What is the AI Forward Deployed Engineer course, and what does it cost?
The AI Forward Deployed Engineer course is twelve weeks (plus two optional electives) on one enterprise engagement: discovery, private deployment, retrieval, agents, guardrails, evaluation, observability and production hand-over. Each week has a quiz, an in-app lab and a code lab in your own GitHub repository, and you earn the CC-AIFDE certificate. The price, which includes GST, is shown on the course page. Week 1's lab is free with an account.
What is the AI-Led Quality Engineering course, and what does it cost?
The AI-Led Quality Engineering course is 16 weeks from quality-engineering foundations to an AI-assisted capstone, on one realistic insurance application: test design, security, API and accessibility testing, performance, automation with Playwright and GitHub Actions, and testing AI systems itself. Each module has a practical check, there is a quiz each week and a final exam, and you earn the CC-AIQE certificate. The price, which includes GST, is shown on the course page. A free account gives you the first lesson in each of the four testing labs.
What is the Generative AI & Agentic AI course, and what does it cost?
Generative AI & Agentic AI: Foundations to Advanced is eight weeks, one chapter a week, on one running story: you are the AI lead at a bank launching an assistant. Each week opens with a three-minute video, then a chapter, a deep dive, labs that grade themselves and a quiz, and you finish with a capstone and a timed final exam. It earns the CC-GAI certificate, with a public verification page. The price and the access period are shown on the course page. Week 1 is free to watch and read: create a free account and open it from the course page, then enrol for the labs, the quiz and the other weeks.
How does a week of the AI Forward Deployed Engineer course work?
Every week opens with a ticket from a client executive. You read the brief and the deep dive, then work through the steps in order: stakeholder interviews (weeks 1 and 7), a quiz, an in-app lab and a code lab. A week is passed when all of them are. Skill badges, a practice defence panel, an AI red-team of your capstone and mock interviews sit alongside the weeks.
How do the code labs and my GitHub repository work in the AI Forward Deployed Engineer course?
Download the starter, create a public repository of your own on GitHub and push the files to it. Each week you fix that week's component and push, and the week's GitHub Actions job must go green. Your repository carries a small ownership file, so it counts for you only, and one repository can be linked to one account. What you build stays yours.
What will I learn in each course?
AI Forward Deployed Engineer: Six modules on one client engagement: enterprise scoping and private deployment (weeks 1 and 2); RAG systems and data ingestion (weeks 3 and 4); agentic workflows and tool calling (weeks 5 and 6); guardrails, PII masking and hallucination control (weeks 7 and 8); observability, continuous evals and performance (weeks 9 and 10); production hardening, hand-over and the capstone (weeks 11 and 12). Two optional elective weeks then cover Kubernetes and infrastructure as code, and GPU serving across regions. AI-Led Quality Engineering: Foundations (weeks 1 to 4): QA and SDLC with AI, requirements, test strategy and planning, test design. Execute and secure (weeks 5 to 7): execution and defects, security testing, API testing, SQL data checks and ETL reconciliation. Automate (weeks 8 to 11): Playwright with Python, writing tests, GitHub Actions CI. Quality at scale (weeks 12 to 14): accessibility, cross-browser and mobile, performance. AI and capstone (weeks 15 and 16): testing AI systems, the capstone and the final exam. You work on one realistic insurance application throughout. Generative AI & Agentic AI: Eight chapters on one running story: how language models work, prompting and context, retrieval, tools and agents, evaluation, safety and compliance (including the OWASP LLM Top 10, personal-data controls and India's rules), and a capstone launch. Each week opens with a three-minute video. AI-Era Delivery Foundations: Four chapters on one running story at a fictional insurer, Trivana General Insurance, whose board pack carries an AI-written number nobody can trace: what AI does in delivery and how to check it (week 1); using AI safely, with data, permissions and hidden instructions (week 2); grounded prompts and context packs (week 3); evidence gates, traceability and the Decision Dossier (week 4). Each week opens with a three-minute video. AI-Augmented Business Analysis: Eight chapters on one running story at a claims project at the same fictional insurer, where you are the lead business analyst: discovery without invented needs (week 1); the as-is process from documents and the running system (2); stories and acceptance criteria (3); decision tables and boundary values (4); data requirements and mapping by meaning (5); measurable non-functional requirements and DPDP-aware requirements (6); impact analysis and the change request (7); a grounded assistant, the G1 pack and the Decision Dossier (8). Each week opens with a three-minute video. AI-Enabled Product Ownership: Eight chapters on one running story at the claims-experience product at the same fictional insurer, where you inherit a baseline sheet of twelve measures: outcomes, not output: measures and metric trees (week 1); a product brief from evidence (2); opportunity-solution trees and assumption maps (3); pruning an AI backlog and slicing the MVP (4); RICE, cost of delay and WSJF (5); specifying an AI feature and its boundaries (6); designing and reading an experiment (7); deciding and defending the release scope (8). Each week opens with a three-minute video.
How are the practical assessments evaluated?
AI Forward Deployed Engineer: Each week has a 10-question quiz (80% to pass, with a fresh set on a retake), an in-app lab graded on the server, and a code lab in your own GitHub repository that a pipeline checks. Weeks 1 and 7 also have stakeholder interviews. At the end there are a final exam and a final practical. AI-Led Quality Engineering: Each module's practical check runs against your real work in the PolicyHub practice app (or your own GitHub repository for the automation weeks). It is scored automatically, you need 80% to pass, and you can retake it as often as you like. There is also a quiz each week, and a final exam at the end. Generative AI & Agentic AI: Everything is graded by the platform, with no manual marking: labs with hidden test sets and numbers that differ for every learner, a quiz each week (80% to pass), a capstone graded on data you have not seen, and a timed final exam. AI-Era Delivery Foundations: Everything is graded by the platform, with no manual marking: 12 labs (three a week) with numbers that differ for every learner, a quiz each week (80% to pass), and a timed final exam of 20 questions in 40 minutes. AI-Augmented Business Analysis: Everything is graded by the platform, with no manual marking: 24 labs (three a week) with numbers that differ for every learner, a quiz each week (80% to pass), and a timed final exam of 24 questions in 50 minutes. AI-Enabled Product Ownership: Everything is graded by the platform, with no manual marking: 24 labs (three a week) with numbers that differ for every learner, a quiz each week (80% to pass), and a timed final exam of 24 questions in 50 minutes.
What are the labs, and how many are there?
AI Forward Deployed Engineer: Every week has an in-app lab, graded on the server, and a code lab in your own GitHub repository that a pipeline checks. Week 1's lab, the client discovery lab, is free with an account. AI-Led Quality Engineering: There are four testing labs (Security, Accessibility, API testing and Performance), and the first lesson in each is free with an account. Each module also has a practical check on the PolicyHub practice app, and the automation weeks use your own GitHub repository. Generative AI & Agentic AI: Labs that grade themselves, with hidden test sets and numbers that differ for every learner. You can see the list of Week 1's labs for free; running them opens when you enrol. AI-Era Delivery Foundations: 12 labs, three a week, that grade themselves the moment you press Run checks, with numbers that differ for every learner. You can see the list of Week 1's labs for free; running them opens when you enrol. You also keep templates to keep, such as the claim check, the AI usage log, the guardrail card, the prompt card and the gate checklist. AI-Augmented Business Analysis: 24 labs, three a week, that grade themselves the moment you press Run checks, with numbers that differ for every learner. You can see the list of Week 1's labs for free; running them opens when you enrol. You also keep templates to keep, such as the discovery brief, the decision table, the mapping spec, the NFR catalogue, the impact matrix and the G1 checklist. AI-Enabled Product Ownership: 24 labs, three a week, that grade themselves the moment you press Run checks, with numbers that differ for every learner. You can see the list of Week 1's labs for free; running them opens when you enrol. You also keep templates to keep, such as the metric tree, the product brief, the opportunity-solution tree and the AI feature canvas.
How are the certificates verified, and do they expire?
AI Forward Deployed Engineer: Yes. When you pass all twelve weeks, the final exam and the final practical, you receive the CC-AIFDE (COGNEXTRA-certified AI Forward Deployed Engineer) certificate. It has a unique number and a public verification page at sqvalex.com/fde/verify, and it does not expire. It is COGNEXTRA's own credential, not a university degree or an ISTQB certificate. AI-Led Quality Engineering: Yes. When you pass, you receive the CC-AIQE (COGNEXTRA-certified AI Quality Engineer) certificate. It has a unique number and a public verification page at sqvalex.com/verify-certificate, and it does not expire, even after your access period ends. It is COGNEXTRA's own credential, not an ISTQB certificate. You can download a sample certificate from any course page. Generative AI & Agentic AI: When you pass all eight weeks and the final exam you receive the COGNEXTRA-certified Generative & Agentic AI Practitioner (CC-GAI) certificate, with a unique number and a public verification page at sqvalex.com/verify-certificate. It does not expire. AI-Era Delivery Foundations: When you pass all four weeks and the final exam you receive the COGNEXTRA-certified AI-Era Delivery Foundations (CC-AEDF) certificate, with a unique number and a public verification page at sqvalex.com/verify-certificate. It does not expire. It is COGNEXTRA's own credential, not a degree or an accredited qualification. AI-Augmented Business Analysis: When you pass all eight weeks and the final exam you receive the COGNEXTRA-certified AI-Augmented Business Analyst (CC-ABA) certificate, with a unique number and a public verification page at sqvalex.com/verify-certificate. It does not expire. It is COGNEXTRA's own credential, not a degree or an accredited qualification. AI-Enabled Product Ownership: When you pass all eight weeks and the final exam you receive the COGNEXTRA-certified AI-Enabled Product Owner (CC-APO) certificate, with a unique number and a public verification page at sqvalex.com/verify-certificate. It does not expire. It is COGNEXTRA's own credential, not a degree or an accredited qualification.
How do I check that a certificate is genuine?
Every certificate has a unique number and a public verification page, so anyone who has the number can check it, with no sign-in. Enter the number at sqvalex.com/verify-certificate for the AI-Led Quality Engineering and Generative AI & Agentic AI certificates, or at sqvalex.com/fde/verify for the AI Forward Deployed Engineer certificate. It shows the holder's name, the course, the period, the score and the issue date. A certificate does not expire. It is SQValex's own credential, not a degree or an accredited qualification.
Can I get a refund?
Payments for each course are non-refundable, as set out in section 7 of the Terms of Service & Payment Terms. A monthly payment that has been taken is not refunded either, but you can stop the remaining payments at any time and you do not owe the ones that were not yet due. Before you pay you can use the free account, the free first lesson in each course, the free skills check, the syllabus, the brochure and the sample certificate to be sure it is right for you. Nothing in the Terms limits any right you have under consumer law.
How do I pay, and do I get an invoice?
Create your free account first, then open the enrolment page of the course you chose and pay through Razorpay by UPI, card or net banking. Prices include GST. A GST invoice is emailed to you after payment, and is also available from the enrolment page. SQValex does not store your card, UPI or bank details: Razorpay collects them. If you choose the monthly option where a course offers it, the payments are taken by UPI Autopay, debit card e-mandate or another RBI-approved mechanism.
My payment was deducted, but I do not have access. What should I do?
Access begins once Razorpay confirms your payment to us. If a payment is deducted but access does not start, write to support@sqvalex.com with the transaction reference and we will resolve it.
Do you offer placement or career support?
AI Forward Deployed Engineer: We offer career support, not placement. The course includes a practice defence panel, an AI red-team of your capstone, mock interviews with feedback, skill badges and a portfolio page you can share with recruiters. We do not promise or guarantee a job. AI-Led Quality Engineering: We offer career support, not placement. The programme includes CV and LinkedIn guidance, an interview question bank, a mock interview, and a portfolio page you can share with recruiters. We do not promise or guarantee a job. Generative AI & Agentic AI: We offer career support, not placement: a certificate anyone can verify and a capstone launch dossier you can show recruiters. We do not promise or guarantee a job. AI-Era Delivery Foundations: We offer career support, not placement: a certificate anyone can verify and the templates you keep from the labs. We do not promise or guarantee a job. AI-Augmented Business Analysis: We offer career support, not placement: a certificate anyone can verify and the templates you keep from the labs. We do not promise or guarantee a job. AI-Enabled Product Ownership: We offer career support, not placement: a certificate anyone can verify and the templates you keep from the labs. We do not promise or guarantee a job.
How do I get started?
Create a free account (it takes a minute, with an email code to verify), choosing the course you are interested in. Then enrol in that course from inside your account when you are ready.
I did not receive my verification code, or I cannot log in. What should I do?
Check your spam or junk folder for the verification code, then choose 'Send a new code' on the verification screen (a new code can be sent once a minute). If you forgot your password or username, use the links on the login page. If it still does not work, write to support@sqvalex.com.
Can I download the brochure or a sample certificate?
Yes. Every course page has two downloads: a Download brochure button (a short form for your name and email, with your consent asked first) and a Download sample certificate button, with no form. The sample is marked SAMPLE and uses a fictional holder.
Is there an introduction video for each course?
Yes. Each course page has an introduction video with a voice-over and captions, and the home page shows all three. The video itself loads only when you press play. AI Forward Deployed Engineer: 4 min 51 s. AI-Led Quality Engineering: 5 min 07 s. Generative AI & Agentic AI: 4 min 55 s. In Generative AI & Agentic AI, each week also opens with a three-minute video.
What are the SQValex Guides?
The Guides are free, plain-language articles on the topics the courses teach: AI engineering, retrieval and RAG, how language models work, and software testing. You can read them without an account.
What do I need to take a course: a laptop, software or an account?
The courses are online and self-paced, and you need a free SQValex account. The in-app lessons and labs open in your browser. In AI Forward Deployed Engineer the code labs run in a public GitHub repository of your own, so you need a GitHub account; the AI-Led Quality Engineering automation weeks check your own GitHub repository too. There is no published list of device specifications, so for a specific question about your laptop or connection, ask the team.
What happens to my personal data, and are my card details stored?
SQValex does not store your card, UPI or bank details: Razorpay collects and processes them. The Privacy Policy explains what personal data we collect, why, who we share it with and how to ask for it to be erased, and the Cookie Policy explains the cookies. A question you send from this chat is emailed to the support team and is not saved on the website.
How do I contact SQValex?
For help with your account or a course, write to support@sqvalex.com. Grievances and company enquiries go to info@cognextra.com. The Contact page has the registered office address. In the help chat on sqvalex.com you can also choose "Talk to the team" to send a question.
Can a company, college or group enrol together?
SQValex is built for individual learners, and every course is bought on its own. Access for an institute or a company is arranged through a separate agreement, which can have different pricing terms. There is no group price list, so write to support@sqvalex.com with the course and the number of people and the team will reply.
What is the AI-Era Delivery Foundations course about?
AI-Era Delivery Foundations turns AI drafts into evidence you can defend: check every claim, keep personal data out of the tools, ask properly and pass the delivery gates. It is four weeks, one chapter a week, on one running story: a fictional insurer, Trivana General Insurance, whose board pack carries an AI-written number nobody can trace. Each week opens with a three-minute video, then a chapter, a deep dive, three labs that grade themselves and a quiz, and you finish with a timed final exam of 20 questions in 40 minutes. It earns the CC-AEDF certificate, with a public verification page, and Week 1 is free. The current price is shown on its course page.
What is the AI-Augmented Business Analysis course about?
AI-Augmented Business Analysis is requirements engineering in which AI drafts and you own what is true: every requirement has a source and an owner before anyone signs it. It is eight weeks, one chapter a week, on one running story: a claims project at the same fictional insurer, where you are the lead business analyst. Each week opens with a three-minute video, then a chapter, a deep dive, three labs that grade themselves and a quiz, and you finish with a timed final exam of 24 questions in 50 minutes. It earns the CC-ABA certificate, with a public verification page, and Week 1 is free. The current price is shown on its course page.
What is the AI-Enabled Product Ownership course about?
AI-Enabled Product Ownership is about deciding with evidence while AI drafts and calculates: outcomes, briefs, discovery, backlogs, prioritisation, AI features, experiments and release scope. It is eight weeks, one chapter a week, on one running story: the claims-experience product at the same fictional insurer, where you inherit a baseline sheet of twelve measures. Each week opens with a three-minute video, then a chapter, a deep dive, three labs that grade themselves and a quiz, and you finish with a timed final exam of 24 questions in 50 minutes. It earns the CC-APO certificate, with a public verification page, and Week 1 is free. The current price is shown on its course page.
Try it before you pay
Each course has a free first lesson, and the skills check shows where you stand today.