Generative AI Training in Gaia

This instructor-led, live training in Gaia (online or onsite) is designed for intermediate-level tourism professionals seeking to leverage Generative AI to improve customer engagement, streamline content creation, and enhance the overall travel experience.

Upon completion of this training, participants will be able to:

• Comprehend the role of Generative AI within the tourism and hospitality sectors.
• Utilize AI tools to produce personalized travel recommendations.
• Automate customer interactions using AI-driven chatbots.
• Enhance marketing strategies by leveraging AI-generated content.

This instructor-led, live training in Gaia (online or on-site) is designed for intermediate-level developers who wish to build AI-powered applications using predictive analytics and generative models.

Upon completion of this training, participants will be able to:

• Comprehend the fundamentals of predictive AI and generative models.
• Utilize AI-driven tools for predictive coding, forecasting, and automation.
• Implement Large Language Models (LLMs) and transformers for text and code generation.
• Apply time-series forecasting and AI-based recommendation systems.
• Develop and fine-tune AI models for practical, real-world use cases.
• Assess ethical considerations and adhere to best practices in AI deployment.

This instructor-led live training in Gaia (online or onsite) is designed for intermediate-level AI professionals, business analysts, and technology leaders who want to understand the principles of generative AI and explore LLM applications within business environments. Participants will learn about transformers, prompt engineering, and the ethical considerations involved in deploying these models for real-world solutions.

By the end of this training, participants will be able to:

• Grasp the fundamental principles of generative AI and large language models.
• Implement and fine-tune LLMs for specific business applications.
• Apply prompt engineering techniques to achieve optimal model outputs.
• Identify ethical considerations and manage risks associated with LLM deployment.

This instructor-led, live training in Gaia (online or onsite) targets intermediate-level manufacturing engineers, process improvement specialists, and AI developers who wish to apply Generative AI to improve manufacturing processes and outcomes.

By the end of this course, participants will be able to:

• Understand the fundamentals of Generative AI and its applications in manufacturing.
• Apply Generative AI for design optimization and predictive maintenance.
• Analyze and interpret AI-generated data to make informed decisions.
• Implement AI solutions to improve production efficiency and product quality.

This live, instructor-led session in Gaia (available online or onsite) targets beginner to intermediate AI developers and enthusiasts looking to leverage generative AI using Azure OpenAI.

By the end of the program, attendees will be capable of:

• Mastering the fundamentals of AI, Generative AI, and the OpenAI API.
• Setting up and managing the Azure OpenAI account and studio.
• Deploying and administering Azure OpenAI services with confidence.
• Incorporating generative AI models into diverse application scenarios.

This instructor-led, live training in Gaia (online or onsite) targets intermediate-level Java developers, software engineers, and cloud enthusiasts eager to harness the power of Azure OpenAI to create intelligent applications.

Upon completion of this training, participants will be capable of:

• Grasping the core principles of Generative AI and its practical applications.
• Provisioning and managing Azure OpenAI services.
• Integrating OpenAI models into Java-based applications.
• Deploying AI-driven features within web applications.

This instructor-led, live training in Gaia (online or on-site) is designed for intermediate-level content creators, marketing professionals, and business strategists who aim to master generative AI tools for automating content creation across various mediums.

By the end of this training, participants will be able to:

• Understand the fundamentals of generative AI and its applications in content creation.
• Utilize generative AI tools to automate text, image, audio, and video generation.
• Apply prompt engineering techniques for optimal content generation results.
• Stay updated with the latest trends and advancements in generative AI.

This instructor-led, live training in Gaia (online or onsite) is designed for intermediate-level game developers, designers, and AI enthusiasts seeking to leverage generative AI to develop innovative gaming environments and characters.

Upon completion of this training, participants will be equipped to:

• Grasp the fundamental concepts of generative AI and its practical applications within the gaming industry.
• Apply procedural content generation techniques to construct expansive and dynamic game worlds.
• Design and develop intelligent, AI-driven characters and complex narratives.
• Assess the ethical implications and responsibilities associated with using AI in gaming.

This instructor-led, live training in Gaia (online or onsite) is designed for retail managers, e-commerce professionals, and AI specialists of all expertise levels who aim to harness generative AI to drive innovation and efficiency in retail operations.

Upon completion of this training, participants will be able to:

• Grasp the role of generative AI in retail and its potential advantages.
• Deploy generative AI tools to enhance customer experience.
• Leverage generative AI to optimize inventory management.
• Apply generative AI techniques for precise sales forecasting.
• Effectively integrate generative AI solutions into retail operations.

This instructor-led, live training in Gaia (online or onsite) is aimed at finance professionals, fintech developers, and AI specialists across all levels of expertise who wish to leverage generative AI to transform financial services.

By the end of this training, participants will be able to:

• Understand the fundamentals of generative AI and its applications in financial services.
• Utilize generative AI tools and platforms for risk assessment, fraud detection, and customer engagement.
• Develop customized solutions using generative AI for financial services.
• Integrate generative AI solutions into existing financial systems and processes.
• Analyze and optimize generative AI models for improved performance.

This instructor-led, live training in Gaia (online or onsite) is designed for marketing professionals, digital strategists, and tech enthusiasts at all levels who wish to harness the power of generative AI to create personalised marketing campaigns.

By the end of this training, participants will be able to:

• Grasp the fundamentals of generative AI and its applications in marketing.
• Utilise generative AI tools and platforms for campaign creation.
• Develop personalised marketing content using AI models.
• Integrate AI-generated content into broader marketing strategies.
• Analyse and optimise AI-driven marketing campaigns for improved performance.

This live, instructor-led training in Gaia (online or onsite) is designed for developers, data scientists, and tech enthusiasts at an intermediate level who seek practical experience in building and deploying custom chatbots using AI platforms.

Upon completing this training, participants will be capable of:

• Grasping the core principles of chatbot development.
• Investigating various AI platforms suitable for chatbot creation.
• Designing and implementing bespoke chatbot solutions.
• Deploying chatbots across multiple channels and platforms.
• Evaluating chatbot performance and user engagement.
• Integrating chatbots with existing systems and databases.

This instructor-led live training in Gaia (online or onsite) targets intermediate-level UX designers, product managers, and customer service professionals who wish to optimize user interactions and satisfaction through the customization of chatbots.

Upon completion of this training, participants will be able to:

• Grasp the principles of user-centric chatbot design.
• Customize chatbots to align with user needs and preferences.
• Apply best practices for enhancing user interaction.
• Leverage analytics to measure and improve chatbot performance.
• Integrate chatbots into existing customer service workflows.
• Ensure a consistent and engaging user experience across platforms.

This instructor-led, live training in Gaia (online or onsite) is aimed at advanced-level developers, AI specialists, and tech professionals who wish to delve into advanced techniques for customizing AI chatbots for specific needs.

By the end of this training, participants will be able to:

• Develop advanced chatbot functionalities using custom code.
• Integrate chatbots with complex external APIs and services.
• Implement advanced natural language processing (NLP) techniques.
• Optimize chatbot performance and user interactions.
• Ensure security and privacy in chatbot applications.
• Deploy and scale chatbots for high-demand environments.

This instructor-led, live training in Gaia (online or onsite) is aimed at beginner-level participants, including business professionals and tech enthusiasts, who wish to learn how to create and customize chatbots using user-friendly AI tools.

By the end of this training, participants will be able to:

• Understand the basics of chatbot technology.
• Navigate and utilize tools like Dialogflow and Microsoft Azure Bot Service.
• Design and customize chatbot conversations.
• Integrate chatbots with various platforms and services.
• Deploy chatbots for real-world applications.
• Monitor and improve chatbot performance.

This instructor-led, live training in Gaia (online or onsite) is designed for participants with varying levels of expertise who want to use Google's AutoML platform to build custom chatbots for various applications.

By the end of this training, participants will be able to:

• Understand the fundamentals of chatbot development.
• Navigate the Google Cloud Platform and access AutoML.
• Prepare data for training chatbot models.
• Train and evaluate custom chatbot models using AutoML.
• Deploy and integrate chatbots into various platforms and channels.
• Monitor and optimise chatbot performance over time.

This instructor-led, live training in Gaia (online or onsite) is tailored for advanced AI researchers, creative professionals, and senior developers who wish to explore generative AI techniques, implement AI-driven creative workflows, and build applications using DeepSeek models.

Upon completion of this training, participants will be able to:

• Grasp the generative AI capabilities offered by DeepSeek models.
• Generate text, images, and creative content using AI.
• Optimize AI-generated outputs for various creative applications.
• Develop AI-powered tools for storytelling, design, and media.

This instructor-led, live training in Gaia (conducted online or on-site) targets game developers, artists, musicians, and entertainment professionals with beginner to intermediate expertise who seek to utilize generative AI to pioneer new approaches in entertainment.

By the conclusion of this training, participants will be able to:

• Comprehend the basics of generative AI and its function in creative processes.
• Explore AI’s role in producing music, literature, and visual art.
• Assess how AI impacts video game development and user experiences.
• Discuss the ethical dimensions of AI integration in artistic endeavors.
• Plan and develop AI-powered projects within the entertainment industry.

This instructor-led, live training in Gaia (online or onsite) targets beginner to intermediate-level healthcare professionals, data analysts, and policymakers who aim to understand and apply generative AI in the healthcare sector.

Upon completion of this training, participants will be able to:

• Articulate the core principles and practical applications of generative AI in healthcare.
• Recognize opportunities where generative AI can improve drug discovery and personalized medicine.
• Apply generative AI techniques to medical imaging and diagnostics.
• Evaluate the ethical implications of AI deployment in medical environments.
• Formulate strategies for integrating AI technologies into existing healthcare systems.

This instructor-led live training in Gaia (online or onsite) is designed for robotics engineers and AI researchers with intermediate to advanced skills who wish to design and implement autonomous robotic systems using Generative AI techniques.

By the conclusion of this training, participants will be able to:

• Understand the core concepts of Generative AI as they apply to robotics.
• Design and simulate autonomous robots using Generative AI models.
• Implement AI algorithms for robotic perception and decision-making.
• Evaluate the impact of AI-driven robots in various industries.
• Address the ethical considerations of deploying autonomous robotic systems.

This instructor-led, live training in Gaia (online or onsite) is designed for intermediate-level educators and edtech professionals who wish to harness Generative AI to personalize education and enrich learning experiences.

Upon completion of this training, participants will be able to:

• Grasp the principles and practical applications of Generative AI within the educational context.
• Design personalized learning materials and pathways using AI technologies.
• Employ AI tools to facilitate classroom management and content creation.
• Navigate the ethical implications associated with using AI in education.
• Formulate strategies for integrating AI into educational curricula and administrative workflows.

This instructor-led live training in Gaia (online or onsite) is aimed at intermediate-level data professionals who wish to create synthetic datasets for AI model training where real data is scarce or sensitive.

By the end of this training, participants will be able to:

• Understand the role and creation of synthetic data in Generative AI.
• Implement Generative AI models to produce high-quality synthetic data.
• Assess the quality and utility of synthetic datasets.
• Navigate the ethical and legal considerations in using synthetic data.
• Apply synthetic data strategies to real-world AI challenges.

This instructor-led, live training in Gaia (online or onsite) is designed for beginner to intermediate software developers seeking to integrate generative AI into their software development lifecycle (SDLC).

Upon completion of this training, participants will be able to:

• Comprehend the role and capabilities of generative AI within software development.
• Leverage AI tools for coding, debugging, and code reviews.
• Apply AI techniques to perform efficient root cause analysis.
• Implement AI features to optimise the software development process.
• Evaluate ethical considerations and best practices for using AI in development.

This instructor-led, live training in Gaia (online or onsite) targets intermediate to advanced cyber security professionals, IT managers, and policy makers seeking to comprehend the profound impact of Generative AI on cyber security.

Upon completing this training, participants will be equipped to:

• Understand the capabilities and applications of Generative AI within cyber security.
• Identify and foresee AI-driven cyber threats and attacks.
• Investigate how Generative AI can bolster cyber defence mechanisms.
• Evaluate the ethical and legal implications of using Generative AI in cyber security.
• Develop strategies to incorporate Generative AI into their cyber security workflows.

This instructor-led, live training in Gaia (online or onsite) is aimed at intermediate-level to advanced-level managers who wish to understand and leverage Generative AI in their business strategies.

By the end of this training, participants will be able to:

• Grasp the fundamental concepts and capabilities of Generative AI.
• Identify opportunities for applying Generative AI within their organizations.
• Understand the ethical and legal considerations of using Generative AI.
• Lead discussions and make informed decisions about AI projects.
• Develop a roadmap for integrating Generative AI into their business processes.

This instructor-led, live training in Gaia (online or onsite) is designed for data scientists, machine learning engineers, and AI practitioners at intermediate to advanced levels who aim to delve into complex generative models and their practical applications across diverse industries.

Upon completion of this training, participants will be able to:

• Implement and train sophisticated generative models, such as GANs, VAEs, and diffusion models.
• Understand and utilise the Transformer architecture for generative tasks.
• Examine the ethical implications and challenges associated with Generative AI.
• Deploy advanced generative techniques to address real-world challenges across various sectors.
• Keep pace with current research trends and future trajectories in Generative AI.

This instructor-led live training in Gaia (online or onsite) is designed for intermediate-level developers who wish to learn how to use generative AI with LLMs for various tasks and domains.

By the end of this training, participants will be able to:

• Explain what generative AI is and how it works.
• Describe the transformer architecture that powers LLMs.
• Use empirical scaling laws to optimize LLMs for different tasks and constraints.
• Apply state-of-the-art tools and methods to train, fine-tune, and deploy LLMs.
• Discuss the opportunities and risks of generative AI for society and business.

This instructor-led live training in Gaia (online or onsite) is designed for beginner-level developers who wish to establish foundational knowledge and gain practical experience in Generative AI.

By the conclusion of this training, participants will be able to:

• Comprehend the principles behind generative models and their applications.
• Implement basic generative models using TensorFlow or PyTorch.
• Generate new content using Variational Autoencoders (VAEs) and Generative Adversarial Networks (GANs).
• Explore the ethical implications of generative AI.
• Apply generative AI concepts to real-world scenarios.

This instructor-led live training in Gaia (available online or on-site) is tailored for beginner-level designers, artists, and content creators who wish to leverage Adobe Firefly to enhance their creativity and productivity.

Upon completing this training, participants will be equipped to:

• Configure a development environment incorporating Adobe Firefly and Adobe Creative Cloud.
• Utilize Adobe Firefly to generate images, text effects, and color palettes based on text prompts.
• Integrate Adobe Firefly into Adobe applications such as Photoshop, Illustrator, and Express.
• Produce content that is safe for commercial use while respecting the intellectual property rights of content creators.
• Implement ethical and responsible practices when utilizing generative AI tools.

This instructor-led, live training in Gaia (online or onsite) targets beginner to intermediate-level data scientists, AI developers, and AI enthusiasts who wish to utilize generative AI to create novel and diverse content for various purposes.

By the end of this training, participants will be able to:

• Set up a development environment that includes generative AI models and tools.
• Create images, text, audio, and other content from text prompts using generative AI.
• Use generative AI in different domains such as art, design, entertainment, and education.
• Evaluate the quality and diversity of the content generated by generative AI.
• Understand the ethical and social implications of generative AI.

Building on the latest OWASP GenAI Security Project guidance, participants will learn to identify, assess, and mitigate AI-specific threats through hands-on exercises and real-world scenarios.

This five-day course on Gaia empowers finance professionals with skills in advanced analytics, AI-assisted Python, and agentic AI. Participants will learn to construct intelligent dashboards, optimise GL operations, and design autonomous workflows to support financial analysis, reporting, and strategic decision-making.

This live, instructor-led training in Gaia is designed for: cross-functional teams combining business and IT expertise.

Upon completing this training, participants will be equipped to:

• Identify and prioritise relevant AI use cases
• Develop functional prototypes in small, collaborative groups
• Present outcomes and define subsequent actions
• Integrate prototypes into the broader AI roadmap

This corporate hackathon empowers cross-functional teams, including business units and IT, to apply AI to their specific operational challenges and take away functional solutions. The programme integrates two preliminary discovery sessions for tool onboarding, a 24-hour intensive sprint, and a final presentation to senior management. By the conclusion of the event, every team will have developed a working solution and a clear implementation plan for immediate use.

This live, instructor-led training in Gaia is designed for: Mixed teams from various departments and IT who wish to experiment with AI on real-world issues and leave with actionable results.

Upon completion of this training, participants will be able to:

• Reframe departmental problems and bottlenecks into actionable challenges
• Demonstrate proficiency with eight to ten AI tools and select the most appropriate one for specific tasks
• Collaboratively develop working solutions in small teams
• Assess solutions based on business value and technical feasibility
• Effectively present results through a structured pitch
• Establish a concrete adoption plan for the following week

Course Format

• Duration: Two on-site days (incorporating a 24-hour sprint) in addition to two preparatory discovery sessions
• Interactive instruction featuring live coaching, facilitated discussions, and hands-on exercises focused on participants' actual use cases
• Pre-course Outcome: Clear definition of challenges, tool selection, and success metrics.
• Day 1 Outcome: Teams will have refined their challenge and produced an initial working prototype.
• Day 2 Outcome: Teams will finalize their working solution, deliver their pitch, and secure an adoption plan for immediate implementation.

Customization Options

• For bespoke training tailored to this course, please contact us to discuss your requirements.

This instructor-led, live training in Gaia (online or onsite) is designed for beginner-level, intermediate-level, or advanced-level Primary and High School teachers who wish to utilise AI tools to save time, enhance lesson planning, and create engaging learning activities.

By the end of this training, participants will be able to: explain AI in simple terms, use AI tools for everyday teaching tasks, check and improve AI outputs, and apply responsible classroom guidelines.

This practical workshop is specifically adapted to the specific duties of a single team, utilizing the AI tool already sanctioned within the company. It addresses prompting techniques, persistent configurations such as projects and assistants, file management, and secure usage. The team departs with a collective prompt library and resolved tasks derived from their own daily operations.

This live, instructor-led training in Gaia is designed for: Teams in case management, specialized departments, research, or IT support who possess initial experience with AI and seek to enhance outcomes for their specific responsibilities.

Upon completing this training, participants will be able to:

• Comprehend the internal processes of the model during prompting and understand the reasons behind hallucinations
• Draft instructions incorporating role, task, context, examples, format, and constraints
• Decompose complex tasks and refine outcomes through targeted adjustments
• Leverage instructions, memory, projects, and custom assistants for long-term utility
• Manage files, scans, tables, and research assignments effectively
• Validate results, recompute figures, and ensure data security
• Establish proprietary templates for the team to facilitate reuse

Course Structure

• Duration: 1 day (7 hours) or two 4-hour sessions per group, available online or on-site, accommodating up to 15 participants
• Interactive sessions featuring a trainer, collaborative discussions, and hands-on exercises focused on participants' specific use cases
• Outcome, Module 1: Each participant will possess at least one validated template for their personal workflow.
• Outcome, Module 2: Each group will have a shared prompt library, a shared project, and two resolved tasks derived from real daily operations.

Customization Options

• To request a tailored version of this training, please reach out to us to make arrangements.

This instructor-led, live training in Gaia (available online or onsite) is designed for developers, architects, and technical experts looking to utilize Alibaba Cloud to develop, test, and launch generative AI applications for business purposes.

By the end of this session, participants will comprehend Alibaba Cloud's generative AI offerings, construct prompts and workflows using Qwen models, devise a basic retrieval-based AI solution, and deploy AI applications with a clear focus on security and cost management.

AI agents operating within the browser are capable of reading web pages, comparing vendors, and completing forms on behalf of the user. This one-day course provides a comprehensive overview of ChatGPT Agent and Atlas, Claude in Chrome, and Perplexity Comet. It explores suitable use cases and associated risks, including the threat of hidden instructions embedded in web pages. Participants will delegate two tasks, validate the outcomes, and establish guidelines for their teams.

This instructor-led, live training in Gaia is designed for specialist users, assistants, and researchers looking to delegate recurring web-based tasks to AI agents.

Upon completing this training, participants will be equipped to:

• Comprehend the mechanics of how browser agents read pages, navigate, and populate forms
• Evaluate and compare ChatGPT Agent and Atlas, Claude in Chrome, and Perplexity Comet
• Identify appropriate tasks such as research, comparisons, and form management
• Draft assignments that clearly define objectives, constraints, and approval milestones
• Identify and mitigate risks, such as hidden instructions on web pages
• Establish protocols for team usage

Course Format

• Duration: 1 day (7 hours)
• Interactive sessions led by a trainer, incorporating discussions and hands-on exercises tailored to participants' specific use cases
• Day 1 Outcome: Each participant will have delegated two tasks to a browser agent, verified the results, and established team usage rules.

Customization Options

• To request a tailored training experience for this course, please contact us to make arrangements.

Beyond standard chat, ChatGPT offers capabilities such as projects, custom GPTs, deep research, and connectors, along with an agent mode. This two-day course guides you from routine daily usage to managing shared projects, creating custom GPTs, and executing complex multi-step tasks, while establishing clear guidelines for your team. Throughout the training, participants will work with their own anonymized materials.

This live, instructor-led training in Gaia is designed for employees and teams utilizing ChatGPT Plus, Business, or Enterprise who wish to evolve from individual chats to collaborative projects, custom GPTs, and agents.

Upon completion of this training, participants will be equipped to:

• Distinguish between the various models, plans, and data protection options available in ChatGPT
• Achieve consistently superior results by leveraging instructions, memory, and projects
• Analyze files, tables, and datasets, and verify the accuracy of the results
• Edit text in Canvas and generate graphics for presentation slides
• Develop a code-free custom GPT and share it within the workspace
• Utilize deep research, connectors, and the ChatGPT agent to handle multi-step tasks
• Establish boundaries, approval checkpoints, and usage protocols for the team

Course Structure

• Duration: Two days (7 hours per day)
• Interactive sessions featuring an instructor, discussions, and hands-on exercises based on participants' real-world use cases
• Day 1 Deliverable: Each participant will have established standing instructions, a verified data analysis, and a revised document from their daily workflow.
• Day 2 Deliverable: Each participant will possess a dedicated project, a shared custom GPT, and a verified research output. The team will have a clear understanding of the agent, connectors, and internal rules.

Customization Options

• For a tailored training experience, please contact us to discuss your specific needs.

Claude extends well beyond a simple chat interface: projects, artifacts, skills, connectors, and Cowork can automate recurring tasks across administration, finance, purchasing, and HR. This two-day course demonstrates how these components integrate and guides you in setting them up for your specific use cases. Participants will conclude with a functional project, a custom skill, and a routine ready for immediate application in the following week.

This live, instructor-led training in Gaia is designed for: Employees in administration, finance, purchasing, HR, project, and process management who are currently using or introducing Claude in their organization and aim to leverage features beyond basic chat interactions.

Upon completion of this training, participants will be capable of:

• Differentiating Claude's models and interfaces to select the most suitable option for each task
• Configuring projects with instructions and knowledge files to eliminate the need to start from scratch for every interaction
• Leveraging artifacts to generate reports, tables, summaries, and small interactive tools
• Creating, testing, and sharing custom skills for repetitive tasks
• Establishing connectors for mailboxes, calendars, and file storage, while intentionally restricting access
• Delegating tasks to Claude Cowork and routines, and reviewing the outputs
• Establishing team rules for data protection, review processes, and shared templates

Course Structure

• Duration: 2 days (7 hours per day)
• Interactive sessions led by a trainer, featuring discussions and hands-on exercises tailored to participants' own use cases
• Day 1 Deliverable: Each participant will have a configured project for their use case, two refined templates, and an initial artifact developed from real data.
• Day 2 Deliverable: Each participant will leave with a functional skill, a connected connector, a configured routine, and a 30-day implementation plan.

Customization Options

• To request a tailored training session for this course, please contact us to make arrangements.

This live, instructor-led training in Gaia is intended for teams aiming to align their knowledge and standardize workflows in Claude.

By the conclusion of the session, participants will be able to:

• Establish Claude Projects that reflect team knowledge
• Build reusable Skills to automate recurring tasks
• Utilize Artifacts for document creation, overviews, and simple utilities
• Adopt unified working practices across the team

Skills allow you to convert recurring tasks into reusable procedures that Claude follows with complete consistency. This course demonstrates how to identify the right tasks, write effective skills, test them, and share them within your team. Each participant will build and test a skill for a specific real-world task.

This live, instructor-led training in Gaia is aimed at: Specialist users and key stakeholders who want to manage recurring tasks with consistent quality using Claude.

By the end of this training, participants will be able to:

• Understand what a skill is and how it differs from a project, an instruction, and an agent
• Identify tasks that are worth converting into a skill
• Write a skill including description, workflow, examples, and templates
• Test skills on real cases and refine them
• Distribute, version, and maintain skills within the team
• Combine skills with connectors and Cowork

Course Format

• Duration: 1 day (7 hours)
• Interactive training with a trainer, discussions, and hands-on exercises using participants' own use cases
• Outcome, Day 1: Each participant will have a tested skill for a real, recurring task shared with the team, plus a list of further candidates.

Course Customisation Options

• To request a customised training for this course, please contact us to arrange details.

Departments such as administration, accounting, legal, procurement, warehousing, and customer service can significantly reduce time consumption by configuring Claude to align with their specific documentation and operational routines. This modular course integrates a common foundation day with specialized department days focused on authentic documents. Each team departs with at least one optimized workflow ready for immediate implementation in the following week.

Delivered by a live instructor (online or on-site) in Gaia, this training is designed for teams in administration, accounting, legal, procurement, warehousing, and customer service within mid-sized organizations, catering to skill levels from novice to advanced.

Upon completing this training, participants will be equipped to:

• Leverage Claude for department-specific operational tasks, extending beyond basic chatbot interactions
• Develop tailored projects and knowledge bases for their respective departments
• Utilize Claude to review, compare, and extract data from contracts, invoices, and receipts
• Accelerate the preparation of inquiries, quotations, and multilingual customer communications while maintaining consistent quality
• Integrate Claude with Outlook and file storage systems to automate initial recurring workflows
• Establish at least one streamlined workflow per department, ensuring efficiency gains from the following week

Course Structure

• Duration: 3 days, modular format (one shared foundation day and two department-specific days)
• Interactive sessions featuring live instruction, discussion, and hands-on exercises based on participants’ actual use cases
• Day 1 Outcome: All participants achieve confident proficiency with Claude, and each team establishes a departmental project using real documents.
• Day 2 Outcome: Administration and finance teams each implement one workflow enhanced by Claude and validate a specific skill.
• Day 3 Outcome: Each department finalizes at least one concrete, faster workflow and identifies the next steps toward automation.

Customization Options

• For tailored training aligned with this course, please contact us to arrange the details.

This instructor-led, live training in Gaia (online or on-site) is aimed at digital artists, designers, and creative professionals who wish to use ComfyUI to generate images, video, 3D assets, and audio through node-based AI workflows without writing code.

This instructor-led, live training is aimed at beginner-level business professionals and leaders who wish to prepare for the Google Cloud Generative AI Leader certification.

By the end of this training, participants will be able to:

• Explain generative AI fundamentals and Google's foundation models.
• Describe Google Cloud's generative AI offerings and agent tooling.
• Apply prompt engineering, grounding, and RAG to improve output quality.
• Understand secure and responsible AI practices for business adoption.

This instructor-led, live training in Gaia (online or onsite) targets beginner, intermediate, and advanced developers, cloud engineers, and technical product teams interested in using Google Cloud generative AI tools to build and evaluate practical AI applications.

By the end of this training, participants will be able to understand Google Cloud generative AI services, craft prompts and workflows, build simple applications with Vertex AI, and apply responsible AI practices.

This instructor-led, live training (online or onsite) is aimed at training managers, instructional designers, and learning and development professionals who wish to use generative AI to modernize training programs and improve efficiency.

Discover a fast-paced, high-impact webinar designed to establish a strong foundation in AI literacy. Focusing on the fundamental “what, why, and how” of Generative AI, this session prioritizes practical, real-time applications alongside critical security insights.

By the end of this session, you will be able to:

• Understand the foundational concepts of Generative AI and their application to your specific job functions.
• Apply the key principles of effective prompting to optimize results.
• Identify routine tasks, such as email composition and summary generation, that can be enhanced through AI.
• Recognize and prevent key security, privacy, and ethical risks, including “hallucinations” and data exposure.

This live, instructor-led session in Gaia is designed for staff members and key stakeholders who utilise Langdock in their operations.

By the end of the session, participants will be able to:

• Use Langdock chat and models with confidence
• Create assistants utilising company-specific knowledge
• Employ simple workflows and integrations
• Share assistants within the team

Langdock consolidates various AI models, intelligent assistants, organisational knowledge, and workflow automation into a single, unified platform. This course focuses on practical daily applications, including interactive chat usage, designing and distributing assistants, integrating diverse knowledge sources, and establishing workflows that incorporate human oversight. It also addresses the essential policies governing data handling, role-based access, and organisational deployment strategies.

This live, instructor-led training in Gaia is designed for departments and key stakeholders within organisations that are either currently utilising or preparing to introduce Langdock as their central AI solution.

Upon completion of this training, participants will be equipped to:

• Operate Langdock with confidence, encompassing chat interactions, model selection, assistant management, knowledge integration, and workflow execution
• Select the most appropriate model for specific business tasks
• Develop assistants tailored with custom instructions and corporate knowledge, and share them effectively across teams
• Integrate SharePoint, OneDrive, and other repositories to create a robust knowledge base
• Implement straightforward workflows that include human approval stages
• Establish clear guidelines for data management, user roles, and approval processes within the organisation

Course Structure

• Duration: 2 days (7 hours per day), also available as a flexible 4-half-day online format
• An interactive learning experience featuring a dedicated trainer, facilitated discussions, and practical exercises focused on participants' specific use cases
• Day 1 Outcome: Each participant will have created a personal template, organised a knowledge folder, and developed a shared assistant relevant to their area of responsibility.
• Day 2 Outcome: Each participant will have configured a functional workflow with approval mechanisms, linked a knowledge source, and formulated a strategic plan for the following 30 to 60 days.

Customisation Options

• To explore customised training tailored to this course, please contact us to discuss specific requirements.

Many repetitive tasks can be delegated to AI agents without the need for coding, provided that the task scope, underlying knowledge, and control mechanisms are clearly defined. This two-day course takes participants from defining a task profile to developing a fully tested agent equipped with tools, approval checkpoints, and operational documentation. Throughout the training, each participant will work on a specific workflow relevant to their own professional area.

This instructor-led, live training in Gaia is designed for specialist users, key users, and process owners who wish to delegate recurring operational tasks to AI agents.

Upon completion of this training, participants will be able to:

• Distinguish the functional differences between an AI agent, a standard chat interface, and an assistant
• Identify which tasks are suitable for delegation to an agent
• Design an agent by defining its goals, instructions, knowledge base, tools, and limitations
• Construct an agent without coding and validate it using real-world scenarios
• Implement approval checkpoints and human oversight mechanisms
• Evaluate operational maintenance requirements, costs, and associated risks

Course Format

• Duration: 2 days (7 hours per day)
• Interactive sessions led by a trainer, featuring discussions and hands-on exercises focused on participants' own use cases
• Outcome, Day 1: Each participant will have an agent profile and a preliminary, tested agent for their specific workflow.
• Outcome, Day 2: Each participant will have an agent equipped with at least one tool, an approval checkpoint, test cases, and concise operational documentation.

Course Customization Options

• To request a tailored version of this training, please contact us to discuss arrangement.

A personal AI agent offers the ability to streamline email management, schedule appointments, draft briefings, and execute recurring workflows like a daily morning summary. This intensive one-day workshop demonstrates how to configure such an agent using a personalised context, integrated connectors, and clear protocols for approvals and data protection. Upon completion, participants will have a fully functional agent with two established routines in place.

This live, instructor-led session in Gaia is designed for professionals, assistants, project managers, and independent workers who wish to deploy a personal AI agent to support their specific work requirements.

By the conclusion of this training, participants will be equipped to:

• Discern the capabilities and limitations of a personal AI agent
• Construct a robust personal context encompassing profiles, instructions, and notes
• Manage email and calendar workflows with AI while retaining full control
• Prepare for meetings and interactions through automated briefings
• Establish recurring routines, such as morning overviews and weekly reviews
• Define specific approval processes, data protection standards, and operational boundaries for their agent

Course Format

• Duration: 1 day (7 hours)
• Interactive learning involving direct instructor guidance, discussion, and practical exercises tailored to participants’ real-world use cases
• Outcome, Day 1: Each participant will leave with a configured personal agent, including a defined profile, connected mailbox and calendar, and two active routines.

Customisation Options

• Please contact us to discuss tailoring this course to your specific needs.