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

Build AI-powered solutions without coding expertise. Master no-code/low-code AI platforms to develop, deploy, and scale intelligent applications for real-world business challenges.

2
Days
8
Hours/Day
Live
Training
Mastering No-Code/Low-Code AI Development for Real-World Business Applications

Course Information

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.

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

  • 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.
  • Enhancedecision-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.

What You'll Learn

Practical hands-on experience
Industry-recognized certification
Real-world case studies
Expert-led live sessions
Comprehensive study materials
Post-training support

Facilities & Equipment

Virtual Training

  • Electronic materials
  • IT support for software & hardware
  • Administrative support

Face-to-Face Training

  • Air-conditioned classroom
  • Meals & refreshments provided
  • Projector & smart board
  • Stationery provided

What Learners Say

Real experiences, real results

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