Generative AI Training in Madison

This instructor-led, live training in Madison (online or onsite) is aimed at intermediate-level tourism professionals who wish to leverage Generative AI to improve customer engagement, streamline content creation, and enhance the overall travel experience.

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

• Understand the role of Generative AI in tourism and hospitality.
• Utilize AI tools to generate personalized travel recommendations.
• Automate customer interactions with AI-driven chatbots.
• Enhance marketing strategies with AI-generated content.

This instructor-led, live training in Madison (online or onsite) is aimed at intermediate-level developers who wish to build AI-powered applications using predictive analytics and generative models.

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

• Understand the fundamentals of predictive AI and generative models.
• Utilize AI-powered tools for predictive coding, forecasting, and automation.
• Implement LLMs (Large Language Models) and transformers for text and code generation.
• Apply time-series forecasting and AI-based recommendations.
• Develop and fine-tune AI models for real-world applications.
• Evaluate ethical considerations and best practices in AI deployment.

This instructor-led, live training in Madison (online or onsite) is aimed at intermediate-level AI professionals, business analysts, and technology leaders who wish to understand the principles of generative AI and the applications of LLMs in business settings. Participants will learn about transformers, prompt engineering, and ethical considerations in deploying these models for real-world solutions.

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

• Understand the underlying principles of generative AI and large language models.
• Implement and fine-tune LLMs for specific business applications.
• Apply prompt engineering techniques for optimal model outputs.
• Recognize ethical considerations and manage risks in LLM deployment.

This instructor-led, live training in Madison (online or onsite) is aimed at 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 instructor-led, live training in Madison (online or onsite) is aimed at beginner-level to intermediate-level AI developers and enthusiasts who wish to unlock the potential of generative AI using Azure OpenAI.

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

• Grasp the essentials of AI, Generative AI, and the OpenAI API.
• Set up and navigate the Azure OpenAI account and studio.
• Deploy and manage Azure OpenAI services effectively.
• Integrate generative AI models into various applications.

This instructor-led, live training in Madison (online or onsite) is aimed at intermediate-level Java developers, software engineers, and cloud enthusiasts who wish to harness the power of Azure OpenAI to create intelligent applications.

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

• Understand the principles of Generative AI and its applications.
• Set up and manage an Azure OpenAI service.
• Integrate OpenAI's models into Java applications.
• Deploy AI-powered features within web applications.

This instructor-led, live training in Madison (online or onsite) is aimed at intermediate-level content creators, marketing professionals, and business strategists who wish 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 Madison (online or onsite) is aimed at intermediate-level game developers, designers, and AI enthusiasts who wish to leverage generative AI to develop innovative gaming environments and characters.

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

• Understand the core concepts of generative AI and its application in gaming.
• Implement procedural content generation to create expansive game worlds.
• Design and develop AI-driven characters and narratives.
• Evaluate the ethical implications of AI in gaming.

This instructor-led, live training in Madison (online or onsite) is aimed at retail managers, e-commerce professionals, and AI specialists at all levels of expertise who wish to leverage generative AI to drive innovation and efficiency in retail operations.

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

• Understand the role of generative AI in retail and its potential benefits.
• Implement generative AI tools for enhancing customer experience.
• Utilize generative AI for optimizing inventory management.
• Apply generative AI techniques for accurate sales forecasting.
• Integrate generative AI solutions into retail operations effectively.

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

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

• Understand the fundamentals of generative AI and its applications in marketing.
• Utilize generative AI tools and platforms for campaign creation.
• Develop personalized marketing content using AI models.
• Integrate AI-generated content into broader marketing strategies.
• Analyze and optimize AI-driven marketing campaigns for better performance.

This instructor-led, live training in Madison (online or onsite) is aimed at intermediate-level developers, data scientists, and tech enthusiasts who wish to gain hands-on experience in building and deploying custom chatbots using AI platforms.

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

• Understand the fundamentals of chatbot development.
• Explore different AI platforms for chatbot creation.
• Design and implement custom chatbot solutions.
• Deploy chatbots to various channels and platforms.
• Analyze chatbot performance and user interaction.
• Integrate chatbots with existing systems and databases.

This instructor-led, live training in Madison (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 Madison (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 Madison (online or onsite) is aimed at participants with varying levels of expertise who wish to leverage Google's AutoML platform to build customized 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 optimize chatbot performance over time.

This instructor-led, live training in Madison (online or onsite) is aimed at advanced-level AI researchers, creative professionals, and advanced developers who wish to explore generative AI techniques, implement AI-driven creative workflows, and develop applications using DeepSeek models.

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

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

This instructor-led, live training in Madison (online or onsite) is aimed at beginner-level to intermediate-level game developers, artists, musicians, and entertainment industry professionals who wish to harness the power of generative AI to innovate within the realm of entertainment.

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

• Understand the fundamentals of generative AI and its role in creative processes.
• Explore the use of AI in generating music, literature, and visual arts.
• Examine the impact of AI on video game development and player experiences.
• Discuss the ethical considerations of using AI in artistic creation.
• Envision and develop AI-driven projects in the entertainment sector.

This instructor-led, live training in Madison (online or onsite) is aimed at beginner-level to intermediate-level healthcare professionals, data analysts, and policy makers who wish to understand and apply generative AI in the context of healthcare.

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

• Explain the principles and applications of generative AI in healthcare.
• Identify opportunities for generative AI to enhance drug discovery and personalized medicine.
• Utilize generative AI techniques for medical imaging and diagnostics.
• Assess the ethical implications of AI in medical settings.
• Develop strategies for integrating AI technologies into healthcare systems.

This instructor-led, live training in Madison (online or onsite) is aimed at intermediate-level to advanced-level robotics engineers and AI researchers who wish to design and implement autonomous robotic systems using Generative AI techniques.

By the end 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 Madison (online or onsite) is aimed at intermediate-level educators and edtech professionals who wish to leverage Generative AI to personalize education and enhance learning experiences.

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

• Understand the principles and applications of Generative AI in the context of education.
• Create personalized learning materials and pathways using AI.
• Utilize AI tools for classroom management and content creation.
• Address ethical considerations in the use of AI for education.
• Develop strategies for integrating AI into educational curricula and administrative processes.

This instructor-led, live training in Madison (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 Madison (online or onsite) is aimed at beginner-level to intermediate-level software developers who wish to integrate generative AI into their software development lifecycle (SDLC).

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

• Understand the role and capabilities of generative AI in software development.
• Utilize AI tools for coding, debugging, and code reviews.
• Apply AI techniques for efficient root cause analysis.
• Implement AI features to enhance the software development process.
• Evaluate ethical considerations and best practices for AI in development.

This instructor-led, live training in Madison (online or onsite) is aimed at intermediate-level to advanced-level cyber security professionals, IT managers, and policy makers who wish to understand the profound impact Generative AI is having on cyber security.

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

• Comprehend the capabilities and applications of Generative AI in cyber security.
• Recognize and anticipate AI-powered cyber threats and attacks.
• Explore the use of Generative AI in strengthening cyber defense mechanisms.
• Assess the ethical and legal considerations of employing Generative AI in cyber security.
• Formulate strategies to integrate Generative AI into their cyber security practices.

This instructor-led, live training in Madison (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 Madison (online or onsite) is aimed at intermediate-level to advanced-level data scientists, machine learning engineers, and AI practitioners who wish to explore complex generative models and their applications in various industries.

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

• Implement and train advanced generative models, including GANs, VAEs, and diffusion models.
• Understand and apply the Transformer architecture in generative tasks.
• Explore the ethical implications and challenges of Generative AI.
• Apply advanced generative techniques to solve real-world problems in various industries.
• Stay abreast of current research trends and future directions in Generative AI.

This instructor-led, live training in Madison (online or onsite) is aimed at 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 Madison (online or onsite) is aimed at beginner-level developers who wish to gain foundational knowledge and practical experience in Generative AI.

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

• Understand 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 Madison (online or onsite) is aimed at beginner-level designers, artists, and content creators who wish to use Adobe Firefly to enhance their creativity and productivity.

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

• Set up a development environment that includes Adobe Firefly and Adobe Creative Cloud.
• Create images, text effects, and color palettes from text prompts using Adobe Firefly.
• Use Adobe Firefly in Adobe apps like Photoshop, Illustrator, and Express.
• Generate content that is safe for commercial use and respects the rights of content creators.
• Apply ethical and responsible principles when using generative AI.

This instructor-led, live training in Madison (online or onsite) is aimed at beginner-level to intermediate-level data scientists, AI developers, and AI enthusiasts who wish to use 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.

This 5-day course in Madison equips finance professionals with advanced analytics, AI-assisted Python, and agentic AI skills. Learn to build intelligent dashboards, streamline GL operations, and design autonomous workflows for financial analysis, reporting, and strategic decision support.

This instructor-led, live training in Madison 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

A company hackathon lets teams from departments and IT try AI on their own problems and take working solutions with them. The format combines two discovery sessions beforehand with tool onboarding, a 24-hour sprint and a pitch to the management. Each team ends with a working solution and a usage plan for the following week.

This instructor-led, live training in Madison is aimed at: Mixed teams from departments and IT who want to try AI on their own problems and take working solutions with them.

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

• Formulate problems and bottlenecks in the own area as solvable challenges
• Know eight to ten AI tools and select one for a task
• Build a working solution in small teams
• Evaluate solutions by benefit and feasibility
• Present the result in a pitch
• Define a plan for use in the following week

Format of the Course

• Duration: 2 days on site (including a 24-hour sprint) plus two discovery sessions beforehand
• Interactive training with a trainer, discussion and hands-on exercises on the participants' own use cases
• Outcome, Beforehand: Challenges, tool selection and success criteria are defined.
• Outcome, Day 1: Each team has a sharpened challenge and a first working version.
• Outcome, Day 2: Each team has a working solution, a presented pitch and a plan for use from the following week.

Course Customization Options

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

This instructor-led, live training in Madison (online or onsite) is aimed at beginner-level / intermediate-level / advanced-level Primary and High School teachers who wish to use AI tools to save time, improve 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 hands-on workshop is tailored to the tasks of one team and uses the AI tool already approved in the company. It covers prompting techniques, lasting setups such as projects and assistants, working with files and safe use. The group leaves with a shared prompt collection and solved tasks from its own daily work.

This instructor-led, live training in Madison is aimed at: Teams from case processing, specialist departments, research or IT support who already have first experience with AI and want better results for their own tasks.

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

• Understand what happens in the model when prompting and why models invent details
• Write instructions with role, task, context, examples, format and limits
• Break down large tasks and improve results in a targeted way
• Use instructions, memory, projects and own assistants on a lasting basis
• Work with files, scans, tables and research assignments
• Verify results, recalculate figures and protect data
• Secure own templates for the group and reuse them

Format of the Course

• Duration: 1 day (7 hours) or 2 sessions of 4 hours per group, online or on site, up to 15 participants
• Interactive training with a trainer, discussion and hands-on exercises on the participants' own use cases
• Outcome, Block 1: Each participant has at least one verified template for their own work.
• Outcome, Block 2: Each group has a shared prompt collection, a shared project and two solved tasks from real daily work.

Course Customization Options

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

This instructor-led, live training in Madison (online or onsite) is aimed at developers, architects, and technical professionals who wish to use Alibaba Cloud to create, test, and deploy generative AI applications for business use cases.

By the end of this training, participants will be able to: understand Alibaba Cloud generative AI services, build prompts and workflows with Qwen models, create a simple retrieval-based AI solution, and deploy AI applications with proper security and cost awareness.

Browser agents can read web pages, compare vendors and fill in forms on behalf of the user. This one-day course covers ChatGPT Agent and Atlas, Claude in Chrome and Perplexity Comet, suitable tasks and the risks, such as hidden instructions on web pages. Participants hand over two tasks, verify the results and define rules for the team.

This instructor-led, live training in Madison is aimed at: Specialist users, assistants and researchers who want to hand over recurring work on web pages and in web applications to AI agents.

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

• Understand how browser agents read pages, click and fill in forms
• Classify ChatGPT Agent and Atlas, Claude in Chrome and Perplexity Comet
• Select suitable tasks such as research, comparisons and form work
• Formulate assignments with goal, limits and approval points
• Recognize and limit risks such as hidden instructions on web pages
• Define rules for use in the team

Format of the Course

• Duration: 1 day (7 hours)
• Interactive training with a trainer, discussion and hands-on exercises on the participants' own use cases
• Outcome, Day 1: Each participant has handed over two tasks to a browser agent, verified the results and defined rules for use in the team.

Course Customization Options

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

ChatGPT includes projects, custom GPTs, deep research, connectors and an agent mode in addition to the chat. This two-day course moves from everyday use to shared projects, custom GPTs and multi-step tasks, with clear rules for the team. Participants work with their own anonymized material throughout.

This instructor-led, live training in Madison is aimed at: Employees and teams who use ChatGPT Plus, Business or Enterprise and want to move from single chats to projects, custom GPTs and agents.

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

• Classify the models, plans and data protection options of ChatGPT
• Achieve lasting better results with instructions, memory and projects
• Analyze files, tables and data and cross-check the results
• Edit texts in Canvas and create graphics for presentations
• Build a custom GPT without code and share it in the workspace
• Use deep research, connectors and the ChatGPT agent for multi-step tasks
• Define limits, approval points and rules for use in the team

Format of the Course

• Duration: 2 days (7 hours each)
• Interactive training with a trainer, discussion and hands-on exercises on the participants' own use cases
• Outcome, Day 1: Each participant has own standing instructions, a verified data analysis and a revised text from their daily work.
• Outcome, Day 2: Each participant has a project, a shared custom GPT and a verified piece of research. The team knows the agent, connectors and its own rules.

Course Customization Options

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

Claude offers far more than a chat window: projects, artifacts, skills, connectors and Cowork can take over recurring work in administration, finance, purchasing and HR. This two-day course shows how the pieces fit together and how to set them up for your own use case. Participants leave with a working project, a custom skill and a routine they can use the following week.

This instructor-led, live training in Madison is aimed at: Employees from administration, finance, purchasing, HR, project and process management who use or are introducing Claude in their company and want to go beyond the chat.

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

• Classify Claude's models and interfaces and choose the right one for each task
• Set up projects with instructions and knowledge files so that work does not start from zero every time
• Use artifacts to create reports, tables, overviews and small interactive tools
• Write, test and share a custom skill for a recurring task
• Set up connectors to mailbox, calendar and file storage and limit access deliberately
• Hand over tasks to Claude Cowork and routines and review the results
• Define rules for data protection, review steps and shared templates in the team

Format of the Course

• Duration: 2 days (7 hours each)
• Interactive training with a trainer, discussion and hands-on exercises on the participants' own use cases
• Outcome, Day 1: Each participant has a set-up project for their use case, two improved templates and a first artifact built from real material.
• Outcome, Day 2: Each participant leaves the course with a working skill, a connected connector, a set-up routine and a plan for the next 30 days.

Course Customization Options

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

This instructor-led, live training in Madison is aimed at: Teams that want to share knowledge and recurring ways of working in Claude.

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

• Set up Claude Projects with team knowledge
• Create reusable Skills for recurring tasks
• Use Artifacts for documents, overviews and simple tools
• Roll out shared ways of working in a team

Skills turn a recurring task into a reusable procedure that Claude follows in the same way every time. This course shows how to find the right tasks, write skills, test them and share them in the team. Each participant builds and tests a skill for a real task.

This instructor-led, live training in Madison is aimed at: Specialist users and key users who want to handle recurring tasks in the team consistently and with the same 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
• Find tasks that are worth turning into a skill
• Write a skill with description, workflow, examples and templates
• Test skills on real cases and improve them
• Distribute, version and maintain skills in the team
• Combine skills with connectors and Cowork

Format of the Course

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

Course Customization Options

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

Teams in administration, accounting, legal, purchasing, warehouse and customer service can save time when Claude is set up for their own documents and routines. This modular course combines a shared foundations day with department days built around real documents. Each department leaves with at least one workflow that runs faster from the following week.

This instructor-led, live training in Madison is aimed at: Teams from administration, accounting, legal, purchasing, warehouse and customer service in mid-sized companies, from beginners to advanced users.

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

• Use Claude for the tasks of the own department instead of only as a chatbot
• Build projects and knowledge files for the own department
• Review and compare contracts, invoices and receipts with Claude and extract data from them
• Prepare inquiries, quotations and multilingual customer communication faster and with consistent quality
• Connect Claude with Outlook and file storage and automate first recurring workflows
• Define at least one workflow per department that runs faster from the following week

Format of the Course

• Duration: 3 days, modular (one shared foundations day and two department days)
• Interactive training with a trainer, discussion and hands-on exercises on the participants' own use cases
• Outcome, Day 1: All participants work confidently with Claude, and each team has its own department project with real documents.
• Outcome, Day 2: Administration and finance each have one workflow that runs faster with Claude and a tested skill.
• Outcome, Day 3: Each department has at least one concrete workflow that runs faster from now on, and the team knows the next steps toward automation.

Course Customization Options

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

This instructor-led, live training in Madison (online or onsite) 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 gen AI offerings and agent tooling.
• Apply prompt engineering, grounding, and RAG to improve output.
• Understand secure and responsible AI for business adoption.

This instructor-led, live training in Madison (online or onsite) is aimed at beginner-level / intermediate-level / advanced-level developers, cloud engineers, and technical product teams who wish to use 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, create 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.

This is a 3.5-hour, fast-paced, high-impact webinar designed to build universal AI literacy. It focuses on the essential "what, why, and how" of Generative AI, emphasizing practical, immediate applications and critical security awareness.

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

• Understand the core concepts of Generative AI and its relevance to their roles
• Grasp the fundamental principles of effective prompting to get better results.
• Identify high-value daily tasks that can be accelerated with AI (e.g., email drafting, summarization).
• Recognize and avoid critical security, privacy, and ethical risks (e.g., "hallucinations," data leakage).

This instructor-led, live training in Madison is aimed at: Employees and key users working with Langdock.

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

• Use Langdock chat and models confidently
• Build assistants with company knowledge
• Use simple workflows and integrations
• Share assistants in the team

Langdock brings several AI models, assistants, company knowledge and workflows into one platform for the company. This course covers daily use in chat, building and sharing assistants, connecting knowledge sources and setting up a workflow with human approval. It also covers rules for data, roles and rollout.

This instructor-led, live training in Madison is aimed at: Departments and key users in companies that use or are introducing Langdock as a central AI platform.

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

• Operate Langdock confidently, including chat, models, assistants, knowledge and workflows
• Choose a suitable model for each task
• Build assistants with instructions and company knowledge and share them in the team
• Connect SharePoint, OneDrive and other sources as a knowledge base
• Set up a simple workflow with human approval
• Define rules for data, roles and approvals in the company

Format of the Course

• Duration: 2 days (7 hours each), also available as 4 half days online
• Interactive training with a trainer, discussion and hands-on exercises on the participants' own use cases
• Outcome, Day 1: Each participant has a template, a knowledge folder and a shared assistant for their own area.
• Outcome, Day 2: Each participant has a running workflow with approval, a connected knowledge source and a plan for the next 30 to 60 days.

Course Customization Options

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

Many recurring tasks can be handed to an AI agent without writing code, provided the task, the knowledge and the control points are defined well. This two-day course guides participants from a task profile to a tested agent with tools, approval points and operating documentation. Each participant works on a workflow from their own area.

This instructor-led, live training in Madison is aimed at: Specialist users, key users and process owners who want to hand over recurring work to AI agents.

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

• Understand what distinguishes an AI agent from a chat and an assistant
• Find tasks that are worth giving to an agent
• Plan an agent with goal, instructions, knowledge, tools and limits
• Build an agent without code and test it on real cases
• Build in approval points and human control
• Assess maintenance, costs and risks in operation

Format of the Course

• Duration: 2 days (7 hours each)
• Interactive training with a trainer, discussion and hands-on exercises on the participants' own use cases
• Outcome, Day 1: Each participant has an agent profile and a first, tested agent for an own workflow.
• Outcome, Day 2: Each participant has an agent with a tool, an approval point, test cases and short operating documentation.

Course Customization Options

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