17-18 SeptemberVirtual On-line Course

COURSE 17-18 September 2024 is SOLD OUT!
Next Course in January, details will come soon!!!.

The Future is Here

SIGIST-Global and SIGIST-Sweden are offering the first AI-assisted Tester Certification Course 17-18 September.
It is a Teached On-Line Course with Julie Gardiner, one of the most sought after teachers in the Industry.

When approved you will be AIU-certified in one of the most important areas of Testing.
The Course outline:

Course Chapters: (more details in Schedule below)
Chapter 1: GenAI-Assisted Testing
• Introduction to AI, how they work, benefits and challenges with LLMs

Chapter 2: Prompt Engineering
• Fundamentals of Prompting, patterns, practices and a mental model

Chapter 3: Requirements Review
• The Meaning of Review, reviewing requirements in other formats and Data Requirements Review.

Chapter 4: Test Generation and Optimization
• How Not to Use LLMs for Test Design, Test Case Formats, a deep dive in Test Techniques and Exploratory Test Generation.

Chapter 5: Test Data Generation and Formatting
• Data Representation using LLMs, Data Generation and Regular expressions.

Chapter 6: Bug Advocacy and Reporting
• Bug Advocacy and other forms of improved reporting.

Chapter 7: The Road Ahead: Make LLMs Work for You
• Implementing Custom GPTs for Specialized Knowledge Management, Tackling Challenges in using LLMs and adopting AI for test teams.


Details:
The course consists of both educational slots as well as time for hands-on learning.
Prerequisites:
• Practical testing experience
• SIGIST-SCAT, ISTQB CTFL or equivalent knowledge, particularly in test design techniques such as EP, BVA, Decision Tables, and State TransitionTesting
Technical/Equipment Requisites:
• Laptop with good internet connectivity
• ChatGPT Account (Please contacy us if questions)
• (Preferrable) RDP Software to connect to a
remote lab machine
• NO Programming experience is required

Schedule

08:50

Day 1 Session#1

Start: Introduction to the Teacher and the Course.


Chapter 1: GenAI-Assisted Testing
• Introduction to AI, with a focus on LLMs
• The Evolution of AI-Assisted Testing
• An Introduction to LLMs
• How LLMs Work
• Benefits of using LLMs
• Challenges/Limitations in using LLMs

Chapter 2: Prompt Engineering
• Fundamentals of Prompting
• The Art of Effective and Efficient Prompting
• Prompting Patterns
• Using Markdown in Prompts for Clarity
• Foundational Practices for Better Prompting
• LLM Quality/Evaluation Characteristics
• A Mental Model for Prompt Engineering

Read more
Teams
Schedule Items
12:00

Day 1: Lunch

Schedule Items
13:00

Day 1: Session #2

Chapter 3: Requirements Review
• The Meaning of Review
• Reviewing Prose Requirements
• Reviewing Requirements in Other Formats
• Data Requirements Review

Chapter 4: Test Generation and Optimization
• How Not to Use LLMs for Test Design
• A Brief Overview of Test Design
• Test Design using LLMs
• Test Case Formats and Technology
• A Deeper Dive into Systematic Test Design Techniques with LLMs
• Exploratory Test Generation
• Linguistics-based Test Generation from extremely vague requirements
• Diagrams and other forms as Basis for Test ideas
• Test Case Maintenance and Optimization

Read more
teams
Schedule Items

08:50

Day 2 Session #1

Agenda:
Chapter 5: Test Data Generation and Formatting
• Data Representation using LLMs.
• Fuzzing (Anti-Parsing)
• Generation of Data in Specific Formats
• Regular Expressions using LLM

Chapter 6: Bug Advocacy and Reporting
• Bug Advocacy
• Improving Other Forms of Reporting and Analysis

Read more
Teams
Schedule Items
12:00

Day 2: Lunch

Schedule Items
13:00

Day 2: Session #2

Chapter 7: The Road Ahead: Make LLMs Work for You
• Configuring LLMs
• Implementing Custom GPTs for Specialized Knowledge Management
• Tackling Challenges in using LLMs
• LLMs – Dos and Don’ts
• A Roadmap for AI Adoption in Testing Teams

Read more
Schedule Items
16:00

Day 2 Certification

A Test will be distributed, when passed you will be Certified.

Read more
Schedule Items

Teacher and Schedule:

Julie Gardiner
CEO and Owner of Talent Unleashed

Julie Gardiner works as a CEO and Owner of Talent Unleashed, providing consultancy, training and advice in all aspects of testing, management, and agile/DevOps. 
She is a certified Scrum Master and agile coach, and has over 30 years of experience, including time as a Developer, DBA, Project Manager, Head of Operations Management, and Head of R&D. She has held positions of Test Analyst, Test Team Leader, Test Consultant, and Test Manager, Head of Test and Agile roles in the public sector and in financial, broadcasting, insurance, utilities, retail, web, and telecom industries using both traditional and agile methodologies. 

Julie’s previous roles included Director of Consulting (Digital Engineering and TQA) for Hitachi Consulting, Head of Test and Implementation at a UK Bank, and Director of Product Management for CA Technologies.

Her Test Training experience started in 2003, where she has taught all the ISTQB Certifications and now the new Certified Gen AI for Test Engineers.

An enthusiastic and passionate speaker, Julie has presented worldwide as a keynote, tutorial, or track speaker and has won Best Speaker awards at many testing and agile events.

Read more

Schedule Items

Day 1 Session#1

Teams

Start: Introduction to the Teacher and the Course.


Chapter 1: GenAI-Assisted Testing
• Introduction to AI, with a focus on LLMs
• The Evolution of AI-Assisted Testing
• An Introduction to LLMs
• How LLMs Work
• Benefits of using LLMs
• Challenges/Limitations in using LLMs

Chapter 2: Prompt Engineering
• Fundamentals of Prompting
• The Art of Effective and Efficient Prompting
• Prompting Patterns
• Using Markdown in Prompts for Clarity
• Foundational Practices for Better Prompting
• LLM Quality/Evaluation Characteristics
• A Mental Model for Prompt Engineering

Day 1: Lunch

Day 1: Session #2

teams

Chapter 3: Requirements Review
• The Meaning of Review
• Reviewing Prose Requirements
• Reviewing Requirements in Other Formats
• Data Requirements Review

Chapter 4: Test Generation and Optimization
• How Not to Use LLMs for Test Design
• A Brief Overview of Test Design
• Test Design using LLMs
• Test Case Formats and Technology
• A Deeper Dive into Systematic Test Design Techniques with LLMs
• Exploratory Test Generation
• Linguistics-based Test Generation from extremely vague requirements
• Diagrams and other forms as Basis for Test ideas
• Test Case Maintenance and Optimization

Read more

Day 2 Session #1

Teams

Agenda:
Chapter 5: Test Data Generation and Formatting
• Data Representation using LLMs.
• Fuzzing (Anti-Parsing)
• Generation of Data in Specific Formats
• Regular Expressions using LLM

Chapter 6: Bug Advocacy and Reporting
• Bug Advocacy
• Improving Other Forms of Reporting and Analysis

Read more

Day 2: Lunch

Day 2: Session #2

Chapter 7: The Road Ahead: Make LLMs Work for You
• Configuring LLMs
• Implementing Custom GPTs for Specialized Knowledge Management
• Tackling Challenges in using LLMs
• LLMs – Dos and Don’ts
• A Roadmap for AI Adoption in Testing Teams

Read more

Day 2 Certification

A Test will be distributed, when passed you will be Certified.

Read more

Read more

Why SIGIST

Sigist is a global organization that is made by and for the Testing community.
We focus on bringing competence to the Test community with the latest and most needed competences.

We run both Courses and Conferences, If you have a need in your area, please email us at info@sigist.org and we will try to help you out.

Hope to see you soon.

Tickets
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