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.

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

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)