Description
The Revolution in Business and Work Methods
This hands-on programme aims to increase the productivity of key business services (Administrative Support, Legal, IT, Marketing, Finance, HR, Project Management, and Support Services). It has been designed by passionate experts specialised 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 organisation.
Objectives
This programme aims to provide three major benefits for the organization:
Operational Efficiency and Resource Optimization
Improvement of business processes
Automation of repetitive tasks
Reduction of timeframes for time-consuming tasks
Assistance in Analysis and Decision-Making
Strategic decision-making through the use of data and predictive models
Risk reduction
Optimization of financial performance
Differentiation
Creation of new products and services
Innovative solutions
Programme
Module 1 - AI and Marketing Performance
08.10.2024 (3h): Face-to-face
04.11.2024 (2h): Visio
Target: Business Developers looking to leverage AI tools for growth and use AI-based marketing strategies for extreme personalisation.
Learning Methods: 3 hours in person + 2-hour virtual class
Module 2 - Driving HR Performance with AI
09.10.2024 (3h): Face-to-face
12.11.2024 (2h): Visio
Target: HR professionals wanting to use AI for recruitment, training, and talent management.
Learning Methods: 3 hours in person + 2-hour virtual class
Module 3 - Saving Time in Administrative Tasks with AI
09.10.2024 (3h): Face-to-face
12.11.2024 (2h): Visio
Target: Administrative personnel looking to increase productivity using automation or assistance in handling time-consuming tasks.
Learning Methods: 3 hours in person + 2-hour virtual class
Module 4 - Enhancing Client Follow-up Quality in Support Services with AI
10.10.2024 (3h): Face-to-face
07.11.2024 (2h): Visio
Target: Support Technicians aiming to accelerate and improve the quality of request processing through AI.
Learning Methods: 3 hours in person + 2-hour virtual class
Module 5 - Mastering Coding and Deploying AI within the Organisation
11.10.2024 (3h): Face-to-face
08.11.2024 (2h): Visio
Target: Technicians and engineers seeking to master AI tools for their own code and facilitate adoption within their organisation.
Learning Methods: 3 hours in person + 2-hour virtual class
Module 6 - Driving Financial and Economic Performance with AI
16.10.2024 (3h): Face-to-face
13.11.2024 (2h): Visio
Target: Managers looking to integrate AI for predictive analysis and risk management.
Learning Methods: 3 hours in person + 2-hour virtual class
Module 7 - AI Practices in Legal Functions and Business Implications
17.10.2024 (3h): Face-to-face
14.11.2024 (2h): Visio
Target: Legal personnel wanting to understand legal challenges of AI in the organisation and use AI assistance tools in compliance with laws.
Learning Methods: 3 hours in person + 2-hour virtual class
Module 8 - Accelerating and Facilitating Project Management with AI
18.10.2024 (3h): Face-to-face
15.11.2024 (2h): Visio
Target: Project Managers wanting to increase deliverable quality and reduce production times through AI-driven management.
Learning Methods: 3 hours in person + 2-hour virtual class
Target audience
Anyone looking to integrate Generative AI into their work to increase productivity, including:
Marketers
Project Managers
Financial professionals
Lawyers
HR professionals
IT professionals
Secretaries
Support Agents
Pedagogical Approach
Each module is divided into three key phases:
Phase 1 - Knowledge
Theoretical concepts and use cases of generative AI
Exploration of how AI can revolutionise the targeted profession
Tools of generative artificial intelligence in the targeted profession
Uses of AI in the targeted profession
Optimising tasks
Automating processes
Having a personal assistant
Becoming an augmented employee
Phase 2 - Practical Application
Applying AI in the workplace
Discovery of some tools
Mastering the art of prompts
Use of revolutionary case studies
Interactive discussions
Phase 3 - Action
Briefing on an individual field exercise (in compliance with GDPR)
Exercise debrief
Reinforcement of poorly understood concepts
Q&A session
Prerequisites
Participants must bring their own 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.
Note
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.
Conditions
Course Material
The training material will be handed out at the beginning of the course.
Certificate
At the end of the training, participants will receive a certificate of participation issued by the House of Training.
Location
L-1615 Luxembourg
Luxembourg