AI-Augmented Analyst (GenAI Tools for Requirements, Process, Data & QA) Course - Online Instructor Led

OVERVIEW

 

Our AI-Augmented Analyst (GenAI Tools for Requirements, Process, Data & QA) course is a 32 hours hands-on Online Instructor-Led training designed to upskill entry-level and mid-career IT analysts to confidently apply AI tools across the end-to-end analysis lifecycle: elicitation → requirements → process/system modeling → data analysis → QA/test traceability → stakeholder-ready communication.

AI is rapidly becoming a productivity layer for analysts, helping with meeting capture, information extraction, drafting high-quality artifacts, and faster analysis—while still requiring human judgment, validation, and stakeholder alignment to be done well.

 

If you are looking to augment your career as an analyst, business analyst, QA analyst, or any role involving structured analysis and insights, and want to add AI-augmented workflow skills that employers value, then this course is a perfect fit for you.

This course includes practical, job-oriented instruction on:

• Using a General LLM (ChatGPT, Claude, Gemini, Copilot) as your cross-module co-analyst
• Building and managing an AI-augmented analyst workspace in Notion + Notion AI
• Creating process and UML diagrams with Miro + Miro AI
• Performing data analysis and visualization with Excel or Google Sheets + Power BI
• Applying AI-enabled QA/ALM tools for test traceability like aqua cloud or BrowserStack Test Management

he analyst role involves capturing and structuring stakeholder inputs, modeling processes and data, generating insights, and communicating those insights clearly. This course prepares you to perform these tasks with AI-assisted workflows that are professional, repeatable, and quality-focused, setting you apart in an increasingly competitive market.

 

Our excellent online instructor-led training on AI-Augmented Analysis helps you take job interviews HEAD ON.

• SOLID HANDS-ON TRAINING on AI-augmented analysis tools and workflows
• WORK on real-world analyst use-case labs
• PORTFOLIO-READY capstone deliverables
• RESUME CRITIQUING
• INTERVIEW PREPARATION
• AI-enabled Professional Analyst Workflow Skills
• Earn professional training from IT experts with years of industry experience

AUDIENCE PROFILE: Meant for entry-level and mid-career IT professionals, analysts, business analysts, QA analysts, or anyone who wants to level up analytical skills with AI-assisted workflows and tools.

 

PRE-REQUISITE: No AI background required. Basic computer use and workplace communication skills are sufficient.

 

COURSE TYPE: Online Instructor Led

 

DURATION: 32 Hours (plus optional capstone clinic time)

 

COURSE DESCRIPTION

 

Trainings Canada Centre of Excellence’s AI-Augmented Analyst (GenAI Tools for Requirements, Process, Data & QA) course gives you the foundational knowledge and practical skills to effectively use AI in professional analyst work, regardless of industry.

 

This certificate course equips you with a repeatable AI-augmented analyst operating system, enabling you to convert raw inputs into structured analyst artifacts that meet quality standards, align with stakeholder expectations, and are ready for practical use in real projects.

 

Our AI-Augmented Analyst course covers the following:

 

Basic Concepts (Analyst Fundamentals)

·        Analyst role in modern delivery teams.

·        SDLC fundamentals and analyst value.

·        Requirements types and quality principles.

·        QA basics every analyst should know.

·        Lab: Convert unstructured stakeholder input into a clear problem statement and scope. 

Working with a General LLM as Your Co-Analyst

·        Prompt patterns for analysts.

·        AI-assisted requirements extraction.

·        Verification and validation techniques.

·        Building a reusable prompt library.

·        Lab: Extract and refine user stories from a meeting transcript.

Notion + Notion AI Analyst Workspace

·        Requirements database and stakeholder logs.

·        Decision and risk tracking.

·        AI-assisted summaries and action items.

·        Lab: Build a complete Notion analyst workspace.

Requirements Engineering and Stakeholder Communication

·        BRD-lite structure and user stories.

·        Acceptance criteria and non-functional requirements.

·        Requirements reviews and quality gates.

·        Lab: Create a mini-BRD and story set for the capstone.

Miro + Miro AI for Process Modeling and UML

·        As-Is and To-Be process mapping.

·        Use case, activity, and sequence diagrams.

·        AI-assisted diagram generation.

·        Lab: Build process maps and a UML diagram with narrative.

Data Analysis with Excel/Sheets and Power BI

·        Data preparation and validation.

·        Power BI modeling and visuals.

·        Narrative insights and summaries.

·        Lab: Build a Power BI dashboard and insights summary.

AI-Enabled QA/ALM and Traceability

·        Traceability from requirements to tests.

·        AI-assisted test design.

·        UAT readiness reporting.

·        Lab: Generate a test suite and traceability matrix.

Responsible AI for Analysts

·        AI risks and controls for analysts.

·        Data privacy and redaction.

·        Transparent documentation of AI use.

·        Lab: Create an AI Use and Risk appendix.

Capstone Project

·        End-to-end analyst portfolio build.

·        Integrated artifacts across tools.

Career Readiness Add-On

·        Portfolio positioning.

·        Resume and interview preparation.

·        Professional explanation of AI use.

Resume Writing & Interview Preparation

·        Interview Techniques

·        Creating the first impression

·        How to create a good resume

·        How to dress for interviews

·        How to apply for jobs