Highlights
- Reviewing and consolidating knowledge from the participant's chosen AI, Power Apps & Data Analytics course
- Applying techniques and tools to participant-supplied real-world data and scenarios
- Troubleshooting common implementation challenges across AI, Power Apps and data analytics workflows
- Adapting concepts and approaches to specific industry or organisational contexts
- Identifying and avoiding common mistakes and pitfalls in real-world usage
- Building confidence through guided independent problem-solving
- Q&A and open discussion with an expert instructor
- Establishing personal action plans for continued development
Course Details
Reviewing and consolidating knowledge from the participant's chosen AI, Power Apps & Data Analytics course
- Recap of key concepts, tools, and workflows covered in prior learning
- Clarifying complex topics and addressing knowledge gaps
- Connecting core ideas across AI, Power Apps, and analytics
Applying techniques and tools to participant-supplied real-world data and scenarios
- Hands-on exercises using your own datasets or business cases
- Translating theory into practical, usable solutions
- Guidance on structuring and approaching real-world problems
Troubleshooting common implementation challenges across AI, Power Apps and data analytics workflows
- Identifying typical errors and performance issues
- Step-by-step debugging strategies and fixes
- Best practices for maintaining reliable solutions
Adapting concepts and approaches to specific industry or organisational contexts
- Tailoring tools and methods to your sector or role
- Exploring relevant use cases and examples
- Aligning solutions with organisational goals and constraints
Identifying and avoiding common mistakes and pitfalls in real-world usage
- Highlighting frequent missteps in design and implementation
- Practical tips to improve accuracy, efficiency, and usability
- Real examples of what to avoid and why
Building confidence through guided independent problem-solving
- Structured activities with increasing independence
- Instructor feedback on your approach and solutions
- Encouragement of critical thinking and experimentation
Q&A and open discussion with an expert instructor
- Opportunity to ask questions specific to your work
- Group discussion and shared learning
- Insights and tips from industry experience
Establishing personal action plans for continued development
- Defining next steps for applying your skills
- Recommendations for further learning and resources
- Creating a tailored development roadmap
Who should attend
Target Audience:
This course is designed for professionals who have recently completed any course within the AI, Power Apps, Data Analytics, DevOps & Cyber training family and are ready to apply their new skills to real workplace challenges. It is ideal for those who feel confident with the theory but want structured, expert guidance as they tackle their first live projects.
Pre-requisites:
Completion of a relevant AI, Analytics or similar training course. Suitable courses include, but are not limited to: Power BI, Power Automate, Fabric, Azure, Synapse, Copilot, AI Agent Building, Databricks, Kubernetes, Docker, DevOps, Terraform, Ansible, and Cyber Security.
Feedback
4.8 out of 5 average
“Learning more about the query editor was very useful and especially the merge tables features. It was nice to see some really good examples of how it can be used to present your work". AG, Business Analyst, Power BI Advanced, February 2021
Client feedback from Data Analytics training courses:
