Zero-Coding AI Applications
- Created By ebrahim khaja
- Posted on July 8th, 2024
- Overview
- Prerequisites
- Audience
- Audience
- Curriculum
Description:
This training on Zero-Coding AI Applications provides a practical introduction to AI fundamentals and user-friendly AI tools. Over two days, participants will explore core AI concepts and responsible AI practices, gaining hands-on experience with zero-coding platforms such as Google AutoML, Microsoft Azure Machine Learning Studio, and Amazon SageMaker Canvas. The course culminates in showcasing real-world applications in areas like chatbots, image recognition, and predictive analytics. By the end, learners will be equipped to leverage AI for practical use cases without needing to write code.
Duration: 2 Days
Course Code: BDT356
Learning Objectives:
- Understand the core concepts and types of AI.
- Utilize zero-coding AI platforms to build and deploy simple AI models.
- Explore real-world applications of zero-coding AI in various industries.
- Collaborate on a practical AI project and present findings.
- Gain hands-on experience with leading zero-coding AI tools.
- Basic computer literacy.
- Familiarity with data concepts (e.g., data tables, basic statistics).
- Interest in AI applications across various domains.
- No coding experience required; suitable for beginners
- Business professionals looking to leverage AI for operational efficiency without a technical background.
- Educators and trainers interested in incorporating AI tools into their curriculum.
- Tech enthusiasts who want to explore AI applications without diving into coding.
- Business professionals looking to leverage AI for operational efficiency without a technical background.
- Educators and trainers interested in incorporating AI tools into their curriculum.
- Tech enthusiasts who want to explore AI applications without diving into coding.
Course Outline:
Module 1: AI Fundamentals
- Overview: Grasp core concepts of AI and understand different types including Machine Learning, Natural Language Processing, and Computer Vision.
- Responsible AI: Learn about ethical practices and responsible AI development.
- Tools:
- Introduction to zero-coding AI platforms like Google AutoML, Microsoft Azure Machine Learning Studio, and Amazon SageMaker Canvas.
Module 2: Zero-Coding Platforms
- User-Friendly AI Tools: Discover AI tools with drag-and-drop interfaces.
- Hands-On Experience: Build a simple AI model using:
- Google AutoML for image recognition or text classification.
- Microsoft Azure Machine Learning Studio for creating and deploying machine learning models.
- Amazon SageMaker Canvas for constructing machine learning workflows with pre-built components.
Module 3: Real-World Impact of Zero-Coding AI
- Chatbots: Explore the use of zero-coding AI in developing chatbots.
- Image Recognition: Understand how zero-coding AI tools can be used for image recognition tasks.
- Predictive Analytics: Learn about the application of zero-coding AI in predictive analytics.
Module 4: Practical Applications Showcase
- Case Studies: Analyze examples of zero-coding AI in action across different industries.
- Individual Projects: Work on individual projects to apply zero-coding AI tools in real-world scenarios.
Practical Tools to be Used
- Google AutoML: A user-friendly interface for building AI models for image recognition, text classification, and time series forecasting.
- Microsoft Azure Machine Learning Studio: A drag-and-drop environment for creating and deploying machine learning models without coding knowledge.
- Amazon SageMaker Canvas: A visual interface for building and deploying machine learning workflows with pre-built components.
