Mastering Coding and Deploying AI within the Organisation

Participants must bring their laptop.
Participants must have a ChatGPT Plus, GitHub Copilot, Microsoft Copilot (Android or iOS), Google Gemini, or open-source model account. The use of the free version could be limiting for some practical exercises.

This training is part of the AI Generative Toolbox - ChatGPT & Co. programme. This hands-on programme aims to increase the productivity of key business services (administrative support, legal, IT, marketing, finance, HR, project management, and customer support). It has been designed by passionate experts specialising in various fields, united by their expertise in Generative AI. The pool of trainers encompasses a wide range of skills, each bringing a unique perspective to maximise the impact of AI in your business.
The pedagogical scheme has been designed to provide participatory training during which participants practice and apply to their business cases.

At the end of the training, the participant will be able to:

• Understand the impacts of AI on IT jobs
• Apply AI tools to improve their code
• Facilitate the adoption of AI within their organization

PART 1 - Theoretical Refresh and Use Cases

• Introduction to AI: Understanding origins, opportunities, and risks
• How AI can revolutionize developer functions
• Uses of AI: Optimizing tasks, automating processes, having a personal assistant, becoming an augmented employee
• Tools of generative artificial intelligence and how to use them in IT professions

PART 2 - Application of AI in Work and Case Studies

• Discovery of tools, the art of prompts, and revolutionary case studies
  • Automatic diagnosis of problems
  • Assistance in incident resolution
  • Generation of automated scripts
  • Translation of technical documentation
  • Detection of anomalies in system logs
  • Prediction of hardware failures
  • Automation of software updates
  • Assistance in technical documentation
• Interactive discussions and briefing on solo exercises (in compliance with GDPR).
  • Coding assistant (Github Copilot, and others)
  • Generating an algorithm
  • Explaining a piece of code
  • Brainstorming the solution to a bug
  • Debugging steps

PART 3 – Reinforcement and Deepening of Knowledge

• Presentation of work done
• Exercise debrief
• Q&A session

At the end of the training, participants will receive a certificate of participation issued by the House of Training.

• 3 hours in person
• Individual work
• 2-hour virtual class

Please be aware that the versions of the AI tools used may not always be operational or accessible during training sessions. The facilitators will adapt accordingly.