GenAI Adoption Training for Business Analysts
ByEngX
Transform your professional toolkit with AI insights that drive business success and innovation.

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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 weeks
    program duration
  • 18 hours
    hands-on workshops
  • Up to 20%
    boost in backlog health
  • 3–8 hours
    saved per employee per sprint
Knowledge you will gain
checkmarkGenAI fundamentals

Discover the core principles of AI and generative AI, including foundational concepts, capabilities, and prompts.

checkmarkPrompt engineering

Learn to create, refine, and structure effective prompts to maximize the performance of large language models (LLMs).

checkmarkGenAI for business analysis

Learn how GenAI transforms business analysis, enhancing activities like brainstorming, process mapping, user story management, and insight generation.

checkmarkGenAI use cases

Explore GenAI applications in business analysis, focusing on artifact creation, analysis, simulations, and predictive modeling for practical insights.

checkmarkAdvanced AI applications

Delve into advanced topics like fine-tuning, pre-training, and technologies like RAG, LangChain, RAGAS, and AI agents.

checkmarkAI ethics and security

Discover the ethical considerations and security measures essential for responsible AI deployment.

Who is the training for?
  • corporate-teams.webp
    Corporate teams
    • Enroll your BA team to improve project scope and precision.
    • Capacity: Up to 30 participants.
  • independent-groups.webp
    Independent groups
    • Join forces with fellow analysts and gain competitive skills.
    • Capacity: Up to 30 participants.
Explore the key features of the program
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AI educational courses
Gain access to premium learning materials that introduce the fundamentals of generative AI and its practical applications in software development.
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AI coaching and workshops
Participate in hands-on workshops and one-on-one sessions with AI experts, focused on applying generative AI to specific business analysis tasks.
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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 business analystsLearn to harness the power of GenAI in business analysis to enhance strategic decisions, streamline processes, and deliver impactful insights.
04Week 1–9 • AI coachingParticipate in hands-on workshops and on-demand one-on-one sessions with expert coaches to learn how to effectively integrate GenAI tools into your business analysis tasks.
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
  • 9 workshops
  • 9 Q&A sessions
  • 18+ hours
1Week 1 • Setting expectations. Introduction to AI
  • Workshop
  • 1-on-1 sessions
magic-stars.svgResponsibilities of GenAI Coaches and Participants
magic-stars.svgWorkshop Schedule and Adoption Plan
magic-stars.svgIntroduction to AI
magic-stars.svgIntroduction to Generative AI
2Week 2 • Basics of Generative AI
  • Workshop
  • 1-on-1 sessions
  • Q&A session
3Week 3–4 • Basics of Prompt Engineering
  • 2 workshops
  • 1-on-1 sessions
  • 2 Q&A sessions
4Week 5–6 • Use Cases of Generative AI
  • 2 workshops
  • 1-on-1 sessions
  • 2 Q&A sessions
5Week 7 • Security and Ethics in Generative AI
  • Workshop
  • 1-on-1 sessions
  • Q&A session
6Week 8–9 • Advanced Generative AI Concepts
  • 2 workshops
  • 1-on-1 sessions
  • 2 Q&A sessions
7Week 10 • Training Retrospective
Meet the expert behind the training
  • Roman Zatitskiilinkedin.svg
    Product Manager
    Roman is a seasoned Product Management Coach with over 10 years of experience in consulting. Roman helps teams to boost their productivity with ChatGPT, accelerating business analysis and product ownership processes, such as artifacts and requirements creation.
    roman-zatitskii.webp
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 AI for BA training cost?
How can artificial intelligence for business analysis enhance decision-making and streamline processes?