GenAI Adoption Training for Test Automation EngineersTransform your approach to automation with advanced AI skills for effective testing and code enhancement.
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 automation with CopilotExplore GitHub Copilot’s features, setup, and practical use cases for more effective coding.
Code refactoring with GenAIGain hands-on experience in refactoring code and reviewing changes using GitHub Copilot.
Test design techniquesDiscover how to use AI-driven prompts to efficiently generate test cases and checklists.
Documentation via CopilotLearn to automate the creation of commit messages, release notes, and merge request summaries with GitHub Copilot.
Who is the training for?
- Corporate teams
- Enroll your test automation team to boost efficiency and innovation.
Capacity: Up to 30 participants.
- Independent groups
- Join forces with test automation 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 generative AI to specific test automation 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 one-on-one sessions to learn how to use GenAI tools to automate test and documentation processes and refine code through refactoring.
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 • Copilot for Test Automation
- Workshop
- 1-on-1 sessions
- Q&A session
3Week 3 • Practice: Generate autotests with Copilot
- Workshop
- 1-on-1 sessions
- Q&A session
4Week 4 • Copilot for Code Refactoring
- 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: Refactoring with Copilot
- Workshop
- 1-on-1 sessions
- Q&A session
7Week 7 • Copilot for Code Documentation
- Workshop
- 1-on-1 sessions
- Q&A session
8Week 8 • Practice: Copilot for Code Documentation
- Workshop
- 1-on-1 sessions
- Q&A session
9Week 9 • Working with Agents
- 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
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