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.

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.

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.

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.

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.

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.

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.

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.