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Building AI-Powered Applications with No-Code Tools Practice Exam

Building AI-Powered Applications with No-Code Tools Practice Exam


About Building AI-Powered Applications with No-Code Tools Exam

This exam focuses on assessing your ability to build AI-powered applications using no-code tools, allowing you to integrate artificial intelligence into practical applications without the need for programming knowledge. The exam will cover various essential aspects of using no-code platforms to design and deploy AI models, automate workflows, and create intelligent applications that can be used in business, marketing, customer service, and other domains. It includes an exploration of key AI concepts, no-code development environments, machine learning models, natural language processing, and image recognition, as well as how to connect AI tools with other business applications and systems.


Skills Required

  • Understanding of AI and machine learning concepts, including how they are applied in business and software development.
  • Familiarity with popular no-code tools and platforms (e.g., Zapier, Bubble, Adalo, etc.) for building applications.
  • Ability to design and deploy AI models and workflows without coding expertise.
  • Knowledge of key AI applications such as natural language processing (NLP), sentiment analysis, image recognition, and predictive analytics.
  • Experience with integrating third-party services and APIs within no-code platforms to enhance functionality and data processing.


Who should take the Exam?

This exam is ideal for business professionals, entrepreneurs, product managers, marketers, and individuals who wish to harness AI technology for their applications without requiring coding skills. It is also beneficial for anyone working with AI-powered tools and looking to deepen their understanding of integrating artificial intelligence into their workflows. Prior programming experience is not necessary; however, a basic understanding of business processes and a willingness to explore no-code platforms will be advantageous.


Course Outline

The Building AI-Powered Applications with No-Code Tools Exam covers the following topics - 

Domain 1 - Introduction - Project Overview

  • Course Introduction
  • Instructor Overview


Domain 2 - Overview of No-Code Tools

  • Learn about Solution Framework
  • Understand about Bubble and Teams
  • Overview of Power Apps and Power Automate
  • Learn about BuildShip, Airtable, and OpenAI API


Domain 3 - Building Generative AI - PDF Chatbot

  • Setting Up the OpenAI API Assistant
  • Building the API Workflow in BuildShip
  • Integrating the OpenAI API Assistant into BuildShip
  • Complete Backend Setup and Testing
  • Steps to Design the User Interface in Bubble
  • Integrate the API in Bubble
  • Develop and Test Bubble Workflows
  • Modifying the Knowledge PDF
  • Transition from Q&A to Full Conversation Mode
  • Develop Backend for Full Conversation Chatbot
  • Design User Interface for Chatbot
  • Link User Interface to Backend
  • Test Full Conversation Chatbot
  • Integrate Chatbot with Teams
  • Create OpenAI Assistant and Modify BuildShip
  • Set Up Workflow in Power Automate (Part 1 and 2)
  • Test Teams Chatbot


Domain 4 - Building Generative AI - Receipt Chatbot

  • Project Overview
  • Workflow Overview
  • Create PowerApps and Set Up Azure Storage
  • Link PowerApps to Azure Storage Account
  • Implement OpenAI Image Vision and GPT-4 Vision
  • Use BuildShip for System Integration
  • Make Image Upload Names Dynamic in PowerApps
  • Connect PowerApps and Power Automate (Part 1 and 2)
  • Add Page 2 to PowerApps
  • Integrate Airtable with BuildShip using BuildShip
  • Link PowerApps to BuildShip via Power Automate
  • Test and Deploy the Solution


Domain 5 - Building Generative AI - Data Assistant

  • Project Overview
  • Set Up Airtable
  • Integrate BuildShip and OpenAI Assistant
  • Test and Fine-Tune BuildShip (Part 1 and 2)
  • Setting Up Power Automate Workflow
  • Test and Run the Final Solution

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