No Code AI Bootcamp – Building AI Without Code

Description:

The No Code AI Bootcamp is an intensive 6-week bootcamp designed to empower individuals to create and deploy AI-powered applications without writing traditional code. This course covers a range of no-code AI platforms and tools, providing hands-on experience to build and deploy AI models, automate processes, and integrate AI capabilities into various projects. Participants will gain the skills and knowledge necessary to leverage AI in their domains without requiring a deep understanding of programming.

Duration: 6 Weeks

Course Code: BDT316

Learning Objectives

• Understanding AI concepts and terminology.
• Introduction to various no-code AI platforms.
• Exploring use cases and benefits of no-code AI.
• Gathering and organizing data for AI projects.
• Data preprocessing and cleaning without code.
• Building ML models without coding using no-code platforms.
• Model evaluation and fine-tuning without traditional programming.
• Building NLP models without coding.
• Building computer vision models without coding.
• Integrating no-code AI into a real-world project.
• Deploying AI-powered applications without code.
• Final project showcase and presentations.

• Basic computer literacy and familiarity with using computers and web applications.
• A fundamental understanding of AI and its applications (beneficial but not mandatory).

This course is suitable for:

• Entrepreneurs looking to integrate AI into their businesses without coding.
• Marketing professionals seeking to utilize AI for analytics, personalization, and automation.
• Designers and creatives interested in incorporating AI into their projects.
• Business analysts aiming to understand and implement AI solutions.
• Anyone interested in AI applications and eager to learn without diving into programming.

This course is suitable for:

• Entrepreneurs looking to integrate AI into their businesses without coding.
• Marketing professionals seeking to utilize AI for analytics, personalization, and automation.
• Designers and creatives interested in incorporating AI into their projects.
• Business analysts aiming to understand and implement AI solutions.
• Anyone interested in AI applications and eager to learn without diving into programming.

Course Outline:

Week 1: Introduction to AI and No Code Platforms

• Understanding the concept of AI and its various applications.
• Exploring the emergence and growth of no-code/low-code platforms.
• Overview of popular no-code AI platforms.
• Comparison of different platforms and their capabilities.
• Selecting the right platform for specific AI projects.
• Setting up accounts and getting familiar with the interface of selected no-code AI platforms.
• Basic navigation, toolbars, and functionalities.
• Building a simple AI application without writing code.

Week 2: Data Preparation and Management

• Introduction to data types and formats used in AI.
• Data quality and preprocessing considerations.
• Exploring no-code tools for data collection and aggregation.
• Techniques for data cleaning without coding.
• No-code data preprocessing tools and methodologies like AirTable or TypeForm
• Integrating diverse data sources using no-code platforms.
• Transforming data for machine learning readiness.
• No-code data visualization tools and platforms like Tableau Public or Chartio.

Week 3: No Code Machine Learning

• Overview of machine learning concepts and algorithms.
• Types of machine learning: supervised, unsupervised, and reinforcement learning.
• Exploration of no-code machine learning platforms and their features.
• Hands-on experience with building ML models using no-code platforms.
• Deploying ML models in no-code environments like Google AutoML, Data robot or H2O.ai
• Integrating ML models into applications without coding.

Week 4: No Code AI for Natural Language Processing (NLP)

• Understanding what NLP is and its applications.
• Basic concepts: text preprocessing, tokenization, and stemming.
• Overview of no-code NLP platforms.
• Hands-on experience in building NLP applications without coding.
• Building a sentiment analysis tool without coding using no-code NLP platforms.
• Hands-on sentiment analysis project.
• No-code text generation and language translation using NLP platforms like Lobster or TextBlaze.
• Exploring more advanced NLP concepts like named entity recognition and topic modelling without traditional coding.
• Use cases and applications of advanced no-code NLP.

Week 5: No Code AI for Computer Vision

• Understanding what computer vision is and its applications.
• Basic concepts: image processing and feature extraction.
• Overview of no-code computer vision platforms.
• Building an image classification tool without coding using no-code computer vision platforms.
• Hands-on image classification project using platforms like Google Cloud AutoML Vision, Microsoft Azure Custom Vision or Amazon Rekognition.
• No-code object detection and image segmentation using computer vision platforms.

Week 6: Project Development and Deployment

• Forming project teams and brainstorming project ideas.
• Defining project scope, objectives, and requirements.
• Guided project development using no-code AI platforms.
• Final project showcase where teams present their developed no-code AI applications.
• Reflection on the bootcamp experience and future steps in leveraging no-code AI.

Training Material Provided: Yes (Digital Format)