The Generative AI - Associate Analyst (GA-AA) course is designed to equip participants with foundational knowledge and hands-on experience in using Generative AI tools, including ChatGPT and Microsoft 365 Copilot, alongside essential soft skills for career development and project management. The course integrates a blend of technical skills, such as data analysis with Power BI and AI prompt crafting, with soft skills like professional profile development and effective project management techniques. Participants will gain the expertise to leverage Generative AI and data analytics tools to drive productivity, innovation, and career growth in the modern digital workplace.

• Data Analyst, Business Intelligence (BI) Analyst
• Data Analytics Manager, AI/ML Engineer (Generative AI Focus)

10 Days

80 Hours

WS-A1: Prompt Engineering (16 Hours)

• GenAIBIZ: Making ChatGPT and Generative AI Work for You
• Crafting effective prompts for various AI tools
• AI use cases across industries
• Optimization of responses and automation strategies

WS-A2: GenAI Case Studies (8 Hours)

• Case studies and industry applications of Generative AI
• Lessons learned from real-world implementation
• Ethics, compliance, and responsible AI use

Part 1: Making ChatGPT and Generative AI Work (8 Hours)

• Deep dive into ChatGPT workflows and customization
• Productivity automation using generative AI
• Also Includes:
• GenAIBIZ content (practical applications for business users)

Part 2: Empower Your Workforce with Microsoft 365 Co-Pilot and Power BI Data Analyst (48 Hours)

• MS-4004: Use Cases for Microsoft 365 Copilot
• MS-4005: Craft Effective Prompts for Microsoft 365 Copilot
• Microsoft 365 Co-Pilot integration into workplace workflows
• Power BI Data Analyst Associate – Part 1
• Power BI Data Analyst Associate – Part 2
• Power BI Data Analyst Associate – Part 3
• Power BI dashboards, DAX, data modeling
• Hands-on projects and reporting solutions

Part 3: Exam Preparation (Mock Sessions) (8 Hours)

• PL-300 Exam Prep for Power BI Data Analyst Certification
• Practice questions, review sessions
• Tips and strategies for Microsoft certification exams

Part 4: Microsoft Proctored Certification Exam (4 Hours)

• Microsoft Certified: Power BI Data Analyst Associate (PL-300)
• Conducted in a proctored environment

Part 5: Design Thinking & Problem Solving (8 Hours)

• Soft Skills – Design Thinking and Problem Solving
• Structured innovation process
• Ideation, prototyping, and human-centered AI solutions

Part 6: Project Management (8 Hours)

• Soft Skills – Project Management
• Introduction to agile and waterfall methodologies
• Planning AI-based initiatives

Part 7: Capstone Project (12 Hours)

• Real-world business problem using AI and Power BI
• Application of prompt engineering, data analytics, and design thinking
• Presentation and peer review

Microsoft