Build No-code AI Agents / Apps [AI Automation Course 2025]

build a simple ai-based content generator using Mind Studio, outlining input, ai module, and output to produce a topic-driven, tone-specific blog post shown on screen.

Create a no-code ai workflow that generates a blog article from topic and tone inputs using templates, user inputs, and ai model settings in Mind Studio.

Select and compare AI models with a single click, exploring cloud three, cloud two, code llama, and OpenAI options, while reviewing token pricing for uploading and downloading data.

Preview and publish lets you preview drafts, edit prompts, and publish a simple no-code ai workflow in mind studio.

Create and manage multiple workspaces, each with its own ai model credits and budgets. Customize the chat by selecting models, adding data sources, and adjusting settings to fit your organization.

Configure workspace settings, rename and logo your workspace, manage AI credit budgets and email thresholds, and control member roles, API access, logs, and Mind Studio workflows with Zapier.

Learn to manage billing and usage for no-code ai agents, including membership plans, credit top-ups, workspace budgets, and cost optimization across apps and ai models.

Navigate the Mind Studio interface and explore its chat-like workspace, where you can write prompts, switch to cloud models, adjust settings, and manage workflows and AI workers.

Define what a prompt is and how it guides a no-code ai workflow to generate responses to customer emails using knowledge base and ai models.

Use the profiler to compare AI models by running identical prompts and evaluating response time, cost, and output quality across models like Gemini Pro and GPT-4 Mini for IoT.

Configure workflow settings, rename workflows, and divide complexity. Adjust branding, add social sharing images, and manage public access or password protection with usage limits for AI apps.

Explore the debugger interface and error detection in no-code AI apps, guiding debugging of variables, data flow, and outputs.

Explore AI automation options and node categories—AI services, user input, and logic—building workflows with generate text, generate image, analyze image, and text-to-speech, plus output handling.

Define user input and variables in a no-code AI workflow, and map data sources such as query data, run function, and scrape URL to input types.

Learn to use query data sources to feed your ai model with uploaded documents, csv data, and vector documents, and explore run functions and scrap url to fetch content.

Explore routing and switching in no‑code automation, using menus, conditional logic, and jump or run workflow actions to create flexible, language‑aware workflows that connect apps and terminate chats.

Set up an AI-based blog content app with MindStudio, define topic, tone, language, and pages, then feed inputs to an AI model such as cloud GPT Gemini.

Set up the workflow AI app in Mind Studio, create an AI worker and workflow, and configure topic, tone, language, and pages to generate a blog article.

Test your AI workflow by previewing and publishing a generated article about top tourist destinations in Europe, configuring an input interface, language, and tone, and extracting SEO keywords with images.

Explore why YouTube automation streamlines creating SEO-optimized descriptions, titles, keywords, and thumbnails by mapping short video descriptions through AI text and image generation with Gemini Pro and Dall-E.

Explore the updated left side bar interface to set up your no-code ai app workflow and generate a YouTube title, description, keywords, and thumbnail with Gemini 1.5 Pro.

Preview and publish your ai app by naming the project, generating thumbnails with Dall-E, and exploring the Arduino IoT Cloud interface, including thing, device, dashboard, and documentation.

Learn how to automate customer email support with a no-code ai workflow that drafts responses from a knowledge base using Mind Studio and Zapier, saving drafts for quick review.

Set up the AI app by creating an AI worker workflow and a product specification data source. Generate email responses using prompts and query results via Zapier.

set up a zap in Zapier by connecting a Gmail trigger for new emails, linking Mind Studio with an API key, and creating a draft reply to automate customer emails.

Preview and publish the no-code ai app by testing automation flows, validating zap-based email responses, and configuring ai-generated customer support drafts for ammonia monitoring inquiries.

Learn to integrate a Typeform contact form with an AI workflow using mind studio, Zapier, and data sources to draft professional customer responses and save drafts in email.

Create a typeform from scratch with name, email, and a required question, and publish it for testing on the free plan. The video previews a future workflow setup.

Set up a no-code ai app workflow by creating a prompt, wiring a data source (IoT product specs), and connecting a website contact form to generate a professional response.

Set up a Zap in Zapier to automate form submissions by connecting typeform to Mind Studio, then draft a Gmail response with the contact form data.

Preview and publish the AI app by running tests, submitting form data, and validating the workflow from Typeform through Zapier to a Gmail draft.

Explore AI-based image analysis and text-to-speech blocks to count people or products, analyze plant health, and convert text to audio, using a simple end-to-end workflow.

Set up a no-code ai app workflow that accepts an image and a user query, analyzes the image, and outputs an rdf format response as audio via text-to-speech.

Preview and publish the AI app by extracting car number plate, company, model, and color from an image, then generate audio and a book summary using text-to-speech.