GenAI Adoption Training for Software Testing EngineersLearn how to integrate AI for faster, smarter, and more precise software testing.
Get a quote for your team
A representative from the Engineering Excellence team will consult you on the best approach and provide a quote. No commitment.
- 10 weeksprogram duration
- 18 hourshands-on workshops
- 17% boostin testing efficiency
- 1 hoursaved per engineer daily
Knowledge you will gain
GenAI fundamentalsExplore the core principles of AI and generative AI, including foundational concepts, capabilities, and prompts.
Prompt engineeringLearn to create, refine, and structure effective prompts to maximize the performance of large language models (LLMs).
Test planning with GenAICraft precise test strategies, estimations, and risk assessments using prompt engineering techniques.
Requirement analysisUse GenAI for precise requirement analysis, including decomposition and consolidation through prompts.
Test design techniquesDiscover how to use AI-driven prompts to efficiently generate test cases and checklists.
Test execution and reportingMaster prompt engineering for test execution, troubleshooting, defect tracking, and report creation.
Who is the training for?
- Corporate teams
- Enroll your software testing team to boost efficiency and innovation.
Capacity: Up to 30 participants.
- Independent groups
- Join forces with software testing engineers and gain competitive skills.
- Capacity: Up to 30 participants.
Explore the key features of the program
AI educational courses
Gain access to premium learning materials that introduce the fundamentals of generative AI and its practical applications in software development.
AI coaching and workshops
Participate in hands-on workshops and one-on-one sessions with AI experts, focused on applying GenAI to specific software testing tasks.
Q&A sessions
Use this informal, guilt-free space to ask AI coaches questions, share GenAI experiences, and learn from each other's successes and challenges.
Rollout timeline — 10 weeksTo ensure a seamless transition and deeper learning integration, some stages of the rollout plan overlap.
01Kick-offAttend initial meetings to understand the program structure and meet the experts.
02Week 1–2 • AI literacy coursesComplete two foundational courses on GenAI, machine learning (ML), and prompt engineering to learn key AI concepts and techniques for effectively using large language models (LLMs).
03Week 3–4 • GenAI course for software testingLearn how to integrate AI tools across various stages of the software testing lifecycle, enhancing efficiency in testing processes.
04Week 1–9 • AI coachingParticipate in hands-on workshops and on-demand one-on-one sessions to learn how to use GenAI tools to enhance various stages of software testing, from planning and analysis to execution and reporting.
05Week 2–10 • Q&A sessionsJoin weekly Q&A sessions to interact with the AI coach, share experiences, and learn from each other's successes and challenges.
Workshop schedule
Responsibilities of GenAI coaches and participants Workshop schedule and adoption plan Basic terms of AI worldPrompt engineeringC.R.E.A.T.E approachTools overviewLive demo
- 9 workshops
- 9 Q&A sessions
- 18+ hours
1Week 1 • Basic of Prompt Engineering for Engineers
- Workshop
- 1-on-1 sessions
Responsibilities of GenAI coaches and participants Workshop schedule and adoption plan Basic terms of AI worldPrompt engineeringC.R.E.A.T.E approachTools overviewLive demo2Week 2 • Prompt Engineering in Test Planning
- Workshop
- 1-on-1 sessions
- Q&A session
3Week 3 • Prompt Engineering in Requirement Analysis
- Workshop
- 1-on-1 sessions
- Q&A session
4Week 4 • Practice: Test Planning & Analysis
- Workshop
- 1-on-1 sessions
- Q&A session
5Week 5 • Prompt Engineering in Test Design
- Workshop
- 1-on-1 sessions
- Q&A session
6Week 6 • Practice: Generating Test Cases
- Workshop
- 1-on-1 sessions
- Q&A session
7Week 7 • Prompt Engineering in Test Execution
- Workshop
- 1-on-1 sessions
- Q&A session
8Week 8 • Prompt Engineering in Test Reporting
- Workshop
- 1-on-1 sessions
- Q&A session
9Week 9 • Practice: Test Execution and Reporting
- Workshop
- 1-on-1 sessions
- Q&A session
10Week 10 • Training Retrospective
Meet the experts behind the training
- Dzmitri is a Quality Engineering Manager with over 13 years of experience, specializing in integrating GenAI tools to improve software testing processes. His expertise in SDLC methodologies and leadership in testing enhances team performance and efficiency.Dzmitry Shaplyka
Quality Engineering Manager
Get a quote for your team
A representative from the Engineering Excellence team will consult you on the best approach and provide a quote. No commitment.
Frequently asked questions
What is EngX?
What are the roles involved in program rollout and coaching?
How much does the Generative AI for QA engineer training program cost?
What are the benefits of generative AI for quality assurance engineers in software testing?