Mastering No-Code/Low-Code AI Development for Real- World Business Applications

Why Choose Garranto Academy for Your No-Code/Low-Code AI Training?

Learn from industry experts, access practical case studies, and gain a competitive edge with our comprehensive AI training designed for real-world business applications.

Course Overview:

The Mastering No-Code/Low-Code AI Development for Real-World Business Applications course equips individuals with the skills to build AI-powered solutions without requiring deep programming knowledge. Participants will explore no-code and low-code platforms to develop, deploy, and scale AI applications that address real-world business challenges in industries such as healthcare, finance, and customer service. Key topics include machine learning, data processing, automation, and AI integration into business workflows. Through hands-on exercises, learners will create AI models, optimize performance, and enhance decision-making. By the end of the course, participants will gain practical expertise in leveraging AI for innovation and efficiency, making AI development accessible to business professionals and non-technical users.

What You'll Learn in Our No-Code/Low-Code AI Course?

Course Objectives:

• Understand fundamental concepts of AI, Big Data, and Data Science.

• Develop expertise in Machine Learning, Deep Learning, and LLMs.

• Gain hands-on experience with Python for AI and Generative AI applications.

• Learn no-code AI tools for easy development without programming.

• Explore AI applications in marketing, design, and content creation.

• Utilize AI tools for business, education, and professional use cases.

Prerequisites:

• Diploma or equivalent, basic computer literacy, and familiarity with business software (e.g., spreadsheets, CRM tools).

• No prior programming knowledge required, but strong interest in AI applications for business is essential.

• General understanding of business operations and access to a computer with internet connectivity.

Course Outlines:

Module 1. AI Theory & Fundamentals (Foundation Level)

• AI Fundamentals (For Basic AI Understanding)

• Understanding core AI concepts such as machine learning and natural

language processing.

• Big Data & Data Science

• Exploring large-scale data processing, data management, and the role

of AI in handling massive datasets.

• Understanding Data & Data Analytics

• Introduction to data types, data collection, cleaning, and exploratory

data analysis (EDA).

• Data Science Basics

• Overview of the data science workflow, including statistics, data

visualization, and predictive modelling.

Module 2. Advanced AI Development & Large Language Models (LLMs)

• AI Chatbot Development

• Developing chatbots using LLMs like GPT for interactive applications.

• AI Agent Development

• Integrating AI into automation systems and digital assistants.

Module 3. Machine Learning & Deep Learning Development

• Machine Learning Development Course

• Building machine learning models using Python and libraries like Scikit

learn & TensorFlow.

• Deep Learning Development Course

• Using neural networks such as CNNs, RNNs, and Transformers for

advanced AI applications.

Module 4. Generative AI Development & AI Coding

• Python Analytics with Generative AI (For Data Analysis and Automation)

• Using Python and AI APIs for data analysis and task automation.

• Generative AI Application Development

• AI-Powered Content Writing Applications – AI can generate articles,

reports, or social media content automatically.

• AI Chatbot for Customer Support – AI can handle customer inquiries

24/7 without human intervention.

• AI-Powered Sentiment Analysis – AI can analyse emotions and opinions

from reviews, social media comments, and customer feedback.

Module 5. No-Code / Low-Code AI Development

• Chatbot AI (No-Code, Highly Technical)

• Developing chatbots using no-code/low-code platforms like Dialog flow

or Chatfuel.

• No-Code Machine Learning

• Using tools like Kanime or RapidMiner to build AI models without coding

knowledge.

• Power BI for Data Analytics & Visualization

• Creating professional reports using AI without writing code.

Module 6. AI for Creativity & Digital Content

• AI Image Generation (For Creating AI-Generated Images)

• Using AI tools like DALL-E and Midjourney to generate images.

• AI Video Generation (For Creating AI-Generated Videos)

• Using AI platforms like Pictor or Synthesis to create marketing or tutorial

videos.

• AI in Canva (For Graphic Design & Creative Content)

• Utilizing AI-powered features like Magic Write and Text-to-Image for

creative design.

Module 7. AI for Professionals & Business Applications

• Microsoft Copilot / Gemini (For Office Automation and Productivity)

• Automating documents, data analysis, and enhancing productivity.

• Notebook LM (For Smart Notes and Information Analysis)

• AI-powered smart notes tool for efficient information management.

• Generative AI for Office Productivity

• Assisting with office tasks such as document creation, data analysis, and

management.

• Generative AI for Secretaries and Personal Assistants

• Scheduling, managing communications, and automating routine tasks.

• Generative AI for General Public

• Helping with daily tasks like writing, generating creative ideas, and

boosting productivity.

• Generative AI for Teachers (Educators)

• Assisting educators in creating lesson plans, designing quizzes, and

managing administrative tasks.

• Generative AI for Marketing

• Creating marketing content such as copywriting, email campaigns, and

digital advertisements.

• Using AI to Write & Publish eBooks on Amazon

• Utilizing AI to write, design, and publish eBooks automatically.

Course Outcomes:

Upon successful completion of this "Mastering No-Code/Low-Code AI Development for Real- World Business Applications" course, participants will:

• Develop and deploy AI-driven applications using no-code/low-code platforms.

• Automate tasks and optimize business workflows with AI tools.

• Gain hands-on experience in machine learning, data processing, and automation.

• Enhance decision-making through AI-powered business solutions.

• Collaborate in teams to design and implement AI-driven projects.

• Present and demonstrate AI solutions to real-world business challenges.

• Apply AI concepts to drive innovation and efficiency in business processes.

Key Benefits of Mastering No-Code/Low-Code AI Development:

Accelerate AI innovation without coding expertise, streamline business processes, and empower teams to build intelligent applications with minimal technical barriers.

How No-Code/Low-Code AI Can Transform Business Operations?

Unlock agility and efficiency by integrating AI into your operations, reducing development time, enhancing decision-making, and driving business growth with automated solutions.