AI Tools for the Workday: Research, Texts, Slides and Images Training Course
This instructor-led, live training (online or onsite) is aimed at: Employees who want an overview of practical AI tools.
By the end of this training, participants will be able to:
- Research with Perplexity and check sources
- Write and edit texts with AI
- Create presentations and images with AI
- Choose the right tool for each task
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
Course Outline
- The AI tool landscape for office work
- Research with sources
- Texts and editing
- Presentations
- Images and visuals
- Hands-on: one deliverable from your work
Requirements
- No programming knowledge.
Audience
- Employees who want an overview of practical AI tools
Open Training Courses require 5+ participants.
AI Tools for the Workday: Research, Texts, Slides and Images Training Course - Booking
AI Tools for the Workday: Research, Texts, Slides and Images Training Course - Enquiry
AI Tools for the Workday: Research, Texts, Slides and Images - Consultancy Enquiry
Testimonials (1)
Understand AI function n tools to make our job easier. Need to improved AI Chubb such as make analysis n creating presentation
Tri wulandari - PT Chubb Life Insurance Indonesia
Course - AI Literacy & Productivity
Provisional Upcoming Courses (Require 5+ participants)
Related Courses
Agentic AI for Business Automation: Use Cases & Integration
21 HoursThis live, instructor-led training in Australia guides intermediate professionals through the design and scaling of agentic AI for business automation. Participants will learn to map workflows, integrate tools, and construct practical use cases in customer service, supply chain, and marketing to ensure tangible business impact.
AI as an Agile Pilot
7 HoursThis instructor-led, live training in Australia (online or onsite) is aimed at beginner-level / intermediate-level / advanced-level professionals who wish to use Artificial Intelligence in Project Management and Agile Methodologies to shift from manual coordination to data-driven orchestration. This category focuses on leveraging Machine Learning and Large Language Models to solve traditional "bottlenecks" in the software development lifecycle (SDLC). By applying AI to areas like GitOps, capacity planning, and requirements engineering, organizations can achieve higher precision in forecasting and significantly reduce the time spent on administrative overhead. This methodology helps teams focus on high-value creative work while AI handles the complexity of data processing and scenario planning.
By the end of this training, participants will be able to:
- Understand the technical foundations of Transformers, LLMs, and SLMs.
- Critically evaluate AI tools based on cost, latency, data privacy, and vendor lock-in.
- Master advanced prompt engineering and RAG techniques for professional use.
- Integrate AI into the full Agile lifecycle, from ideation and backlog refinement to risk management.
- Identify and mitigate risks related to AI ethics, biases, hallucinations, and "model collapse."
- Apply "model-based problem solving" to complex engineering and management tasks.
AI-Enhanced Architect Workflow
7 HoursThis instructor-led, live training in Australia (online or on-site) is aimed at beginner-, intermediate-, and advanced-level professionals who wish to transform traditional architectural workflows into AI-native processes. Instead of replacing the architect's creativity, we focus on augmenting it—leveraging Artificial Intelligence to handle repetitive tasks, accelerate conceptualization, and automate administrative burdens. The workshop bridges the gap between raw sketches and high-end professional presentations.
By the end of this training, participants will be able to:
- Generate 3-5 conceptual variants in the time it previously took to create just one.
- Carry out independent, high-end post-production on renderings, eliminating the need for external outsourcing for minor corrections.
- Utilise Multimodal AI (Gemini/GPT) to analyse complex legal building codes and technical documentation.
- Implement automated administrative workflows to recover several hours of manual work per week.
Artificial Intelligence (AI) for Corporate Professionals
14 HoursAI for Daily Tasks: Enhancing Efficiency Across Departments
14 HoursThis instructor-led, live training in Australia (online or onsite) is designed for beginner to intermediate-level professionals from various departments who wish to learn how to efficiently use AI tools for daily tasks, saving time and boosting productivity.
By the end of this training, participants will be able to:
- Identify AI-powered tools suitable for different tasks.
- Automate repetitive processes to improve workflow efficiency.
- Leverage AI for better communication, reporting, and decision-making.
- Ensure responsible and ethical AI usage in the workplace.
Company AI Hackathon (1 to 3 Days)
21 HoursThis instructor-led, live training in Australia is aimed at: Mixed teams from business and IT.
By the end of this training, participants will be able to:
- Find and prioritise AI use cases
- Build working prototypes in small teams
- Present results and next steps
- Take prototypes into the AI roadmap
Introduction to AI for Administrative Operations
7 HoursThis instructor-led, live training in Australia (online or onsite) is aimed at beginner-level administrative operatives who wish to have a basic understanding of AI and its applications in administrative tasks.
By the end of this training, participants will be able to:
- Understand the basics of Artificial Intelligence (AI).
- Learn how AI can be integrated into daily administrative tasks.
- Improve efficiency in sending emails, conducting surveys, managing indicators, maintaining records, and performing manual validations through AI tools.
Strategic AI Implementation for Operational Excellence
14 HoursAI Literacy & Productivity
7 HoursIn the rapidly evolving Financial Services Industry (FSI), leveraging AI productivity tools is no longer an option—it is essential for maintaining operational competitiveness. This program is designed to build organization-wide AI literacy, empowering employees across claims, underwriting, actuarial, strategy, and operations with safe, structured prompt engineering and automation techniques.
Course Format
- Interactive lectures and discussions.
- Extensive exercises and practical application.
- Hands-on implementation in a live-lab environment.
Customization Options
- To arrange customized training for this course, please contact us.
Building AI Workflows in n8n
14 HoursThis instructor-led, live training in Australia (online or onsite) is aimed at intermediate-level to advanced-level developers and AI hobbyists who wish to create advanced AI workflows in n8n.
By the end of this training, participants will be able to:
- Understand the integration of AI services with n8n workflows.
- Implement AI-driven decision-making in automated processes.
- Create custom AI nodes and use pre-built AI nodes in n8n.
- analyze and optimize the performance of AI workflows.
AI for Productivity and Safe Use in the Workplace
7 HoursDiscover how AI tools such as ChatGPT and Copilot can elevate your productivity in this live training delivered in Australia. Gain the skills to automate routine tasks, optimise communication, and adhere to ethical guidelines. This course is ideally suited for beginners and managers looking to integrate AI into their daily operations securely and effectively.
AI Strategy for Managers: Fundamentals, Use Cases and an Implementation Roadmap
16 HoursThis instructor-led, live training in Australia (available online or on-site) is tailored for senior managers and department heads who wish to build the strategic knowledge and roadmap required to commence AI implementation within their respective teams and business areas.
AI for Technical Support and Automated Documentation
16 HoursThis instructor-led, live training in Australia (online or onsite) is aimed at IT support professionals who wish to use AI tools and automation platforms to streamline support processes, standardize responses, and reduce manual documentation effort.