AI for Business, Creativity, and Development

via Coursera

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Provider

Coursera
Pricing

Paid Course
Languages

English
Certificate

Certificate Available
Effort

9 weeks, 1 hour a week
Sessions

Self-Paced
Level

Advanced
Subtitles

English

Found in

Part of

Artificial Intelligence All-in-One For Dummies

Overview

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Unlock the advanced applications of AI in business, creative industries, and software development. This course explores how AI personalizes customer experiences, enhances productivity, and drives innovation across diverse sectors. Learners will discover how AI can streamline coding, marketing, financial planning, and customer service. Additionally, the course covers strategies for building custom AI solutions and expanding popular AI platforms. What sets this course apart is its blend of theory and practical examples that help learners understand how AI fits into real-world applications. This course is ideal for professionals looking to integrate AI into their business or creative processes. A basic understanding of AI concepts is recommended. This course is part three of a three-course Specialization designed to provide a comprehensive learning pathway in this subject area. While it delivers standalone value and practical skills, learners seeking a more integrated and in-depth progression may benefit from completing the full Specialization. From Artificial Intelligence All-in-One For Dummies Copyright © 2025 by John Wiley & Sons, Inc. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies. Used by arrangement with John Wiley & Sons, Inc.

Syllabus

How Coding Benefits from AI

This module introduces how generative AI tools can enhance coding productivity, assist with syntax, and support learning new programming languages. Learners will explore practical applications such as AI-assisted CRUD operations, code generation, and pair programming, while also considering the benefits and cautions of using AI in programming and education.

AI Coding Tools

This module introduces learners to leading AI-powered coding tools, including GitHub Copilot, Tabnine, and Replit. You will gain hands-on experience setting up, configuring, and using these tools to boost your coding productivity and streamline your workflow.

Coding with Chatbots

This module introduces learners to prompt engineering techniques for enhancing AI chatbot interactions, explores popular chatbot platforms like GitHub Copilot and ChatGPT, and guides you through building your own chatbot using the OpenAI API and Gradio. By the end, you'll understand how to interact with and develop applications powered by large language models.

Progressing from Plan to Prototype

This module guides learners through the process of transforming structured requirements into functional prototypes by leveraging both AI-assisted and manual coding techniques. You will explore best practices for prompt design, blending AI-generated and hand-written code, and addressing non-functional requirements such as security and scalability. Practical tips for testing, integration, and iterative improvement are also covered.

Personalizing the Customer Journey by Using AI

This module introduces key AI tools that enable businesses to deliver personalized customer experiences, such as sentiment analysis, recommendation engines, and chatbots. Learners will discover how these technologies enhance engagement, streamline support, and provide tailored recommendations throughout the customer journey.

Boosting Online Business Growth with AI

This module introduces learners to practical applications of AI in digital marketing, including competitor analysis, brand enhancement, conversion optimization, paid advertising, and KPI tracking. Participants will discover how AI tools can streamline business growth strategies and improve marketing outcomes.

Enhancing Customer Service with Conversational AI Chatbots

This module introduces the fundamentals of conversational AI chatbots in customer service, including their benefits, methods for measuring ROI, and strategies for ethical personalization. Learners will also explore best practices for designing effective chatbot interactions to enhance customer satisfaction.

Making Custom Copilots

This module guides learners through the process of building custom copilot agents using Microsoft Copilot Studio. You will explore how to configure generative AI, utilize templates, and refine agent responses for effective task automation. Practical exercises will help you test and enhance your agents using various knowledge sources.

Expanding Copilot's Capabilities with Plugins

This module guides learners through the process of creating custom agents and plugins in Copilot Studio to extend the functionality of Microsoft Copilot. You will explore different methods for building plugins, understand their use cases, and see practical examples of plugin integration in both personal and organizational settings.