Návrh Školení
Module 1: The No-Code AI Landscape
- Generative AI without code: what is possible in 2026
- How language models and multimodal AI work, in plain language
- The tool landscape: Claude, ChatGPT, Gemini, and specialized image and automation tools
- Defining prompts and prompt parameters: task, inputs, outputs, constraints, style
Lab and challenge: Get oriented and run your first structured prompts against a modern assistant. Then draft prompts for a task from your own workflow.
Module 2: Working with AI Assistants
- Getting started with ChatGPT, Claude, and Gemini
- Exploring capabilities: drafting, transforming, summarizing, analyzing
- Working with files and images as multimodal input
- Data generation, conversion, and everyday applications
- Data analysis inside an assistant, with no code required
- Extensions, plugins, and connected tools
Labs and challenge: Get started with each assistant, explore capabilities, then run data generation and analysis. Challenge: integrate an AI assistant into one of your workflows.
Module 3: AI for Documents and Data
- Summarizing, extracting, and comparing documents
- Data analysis and simple visualizations from spreadsheets and datasets
- AI-assisted search and browsing, including browser extensions
- Building custom reusable assistants: custom GPTs, Claude Projects, Gemini Gems
- Grounding an assistant in your own documents without code
Labs and challenge: Analyze a document set, run an AI-assisted data analysis, and build a custom assistant. Challenge: integrate an AI document or data workflow into your work.
Module 4: Generative AI for Images
- The 2026 image tool landscape: Adobe Firefly, GPT-Image, Midjourney, Google Imagen
- Prompt-to-image: creating original art and business visuals
- Custom parameters: style, composition, aspect, and iteration
- Editing existing images with generative fill, expand, and object edits
- Branding, customization, and targeted image processing for business
Labs and challenge: Create original images, hone an image with parameters, edit with generative fill, and combine tools. Challenge: produce a branded image set for a business scenario.
Module 5: No-Code Automation and AI Agents
- The no-code automation landscape: Zapier, Make, Microsoft Power Automate, Copilot Studio
- Triggers and actions: wiring an automation together
- Inserting AI into a workflow: summarize, classify, draft, extract, route
- From automation to agent: AI that uses tools and takes multi-step actions
- Open standards such as the Model Context Protocol
- Keeping a human in the loop: approvals and safe boundaries
Lab and challenge: Build a no-code automation that uses AI to process an incoming item end to end. Challenge: design and build an automation for one of your real workflows.
Module 6: Enterprise, Governance, and Capstone
- Generative AI as a service and enterprise-grade AI tools
- Data privacy, security, and responsible use in a business setting
- Building a knowledge-grounded assistant for the enterprise without code
- Integrating AI tools into existing workflows
- Capstone: combine assistants, data, images, and automation into one workflow
Lab and capstone: Build and present a no-code AI solution that ties the course tools into a real workflow. Challenge: leave with a working solution and a 30-day rollout plan.
Požadavky
- Comfort using a web browser and everyday office software.
- No previous exposure to generative AI required.
- No coding background needed.
Audience
- Analysts, marketers, and sales or pre-sales staff who need working AI solutions.
- Business and data analysts producing documents, reports, and visuals.
- Project and product staff integrating AI into existing workflows.
- Application developers wanting a no-code on-ramp to AI tooling.
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tipy a doporučené prompty, které si z tohoto školení odneseme
Lee Mei Lin - ST Engineering IHQ Pte Ltd
Kurz - InVideo AI: Creating Engaging Short-Form Videos
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Využívání správných a efektivních promptů
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Kurz - Generative AI and Prompt Engineering for Corporate Professionals
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