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Generative AI Applications and Popular Tools

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Generative AI Applications and Popular Tools

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Gain insight into a topic and learn the fundamentals.
4.6

17 reviews

Beginner level

Recommended experience

1 week to complete
at 10 hours a week
Flexible schedule
Learn at your own pace

Gain insight into a topic and learn the fundamentals.
4.6

17 reviews

Beginner level

Recommended experience

1 week to complete
at 10 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • Understand the fundamentals of chatbots and conversational AI.

  • Build and configure AI applications using frameworks like RASA.

  • Integrate APIs and authentication for generative AI tools.

  • Apply ethical and responsible practices in AI-driven applications.

Details to know

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Assessments

19 assignments

Taught in English

Build your subject-matter expertise

This course is part of the Learn Generative AI with LLMs Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate

There are 6 modules in this course

Welcome to the Generative AI Applications and Popular Tools course, your learning resource for actionable skills in chatbot technology including RASA, GPT-3, and OpenCV with an in-depth exploration of current Generative AI tools like MidJourney, GitHub Copilot, DALLΒ·E, and more.

Throughout this course, You will gain hands-on experience in building chatbots, using GPT-3 for advanced conversational AI, and developing image analysis projects with OpenCV. You will also discover how cutting-edge tools like MidJourney and DALLΒ·E 2 transforms content creation, programming, and digital art. Ethical practices and real-world examples are included so you understand not just what these tools can achieve, but how to use them responsibly and effectively. Key outcomes include: - Build sophisticated chatbots with RASA and adapt them for real-life interaction scenarios. - Leverage GPT-3’s API to create dynamic conversational agents for various applications. - Apply OpenCV for practical image and video analysis tasks, including solutions for identification and detection. - Utilize popular tools like MidJourney, GitHub Copilot, DALLΒ·E 2, Bard, and more, for next-level results in image generation, programming, and creative content automation. - Understand and apply ethical considerations for responsible use of Generative AI art and content technologies. This course is ideal for chatbot hobbyists, AI enthusiasts, developers, data scientists, and digital artists aiming to advance their real-world skills. The course content is approachable for beginners, while offering depth for experienced professionals. A basic understanding of programming and AI concepts is helpful, but not mandatory for success in this course. All learners are welcome, no matter your starting point, You will find clear pathways to apply these tools in your projects and career.

In this comprehensive module, participants will embark on a journey from the fundamentals of chatbots, exploring their diverse use cases across industries, to the hands-on development of advanced chatbot solutions using the RASA framework. Starting with an introduction to chatbot technology and its significance in today's digital landscape, learners will then dive into practical design and development techniques, including crafting engaging personalities for chatbots. The module progresses to a deep dive into RASA, offering insights into building robust chatbots with this powerful tool. This module is designed to equip learners with the knowledge and skills to develop, deploy, and enhance chatbots, setting a foundation for innovation in the field of conversational AI.

What's included

9 videos5 readings4 assignments2 discussion prompts

9 videosβ€’Total 51 minutes
  • Course Introductoryβ€’3 minutes
  • Introduction to Chatbotβ€’5 minutes
  • Use Cases of Chatbotβ€’5 minutes
  • How to Build a Chatbotβ€’6 minutes
  • Tips for Building an engaging personatlity for Chatbotβ€’4 minutes
  • Introduction to RASA Chatbotβ€’7 minutes
  • Building a Chatbot Using RASAβ€’10 minutes
  • Developing your own Chatbot using ChatGPT APIβ€’3 minutes
  • Working with ChatGPT APIβ€’8 minutes
5 readingsβ€’Total 43 minutes
  • Course Overviewβ€’10 minutes
  • How to use Discussion Forums?β€’3 minutes
  • RASA an open-source Machine Learning framework β€’10 minutes
  • Implementing ChatGPT API with Python Scriptβ€’10 minutes
  • Summary and Consolidation of the Moduleβ€’10 minutes
4 assignmentsβ€’Total 29 minutes
  • Knowledge Check: Introduction to Chatbotβ€’20 minutes
  • Knowledge Check: Introduction to Chatbotβ€’3 minutes
  • Knowledge Check: RASA Chatbotβ€’3 minutes
  • Knowledge Check: Developing your own Chatbot using ChatGPT APIβ€’3 minutes
2 discussion promptsβ€’Total 20 minutes
  • Challenges in creating a Chatbot β€’10 minutes
  • Advantages and Challenges of using RASA β€’10 minutes

This detailed module on object detection immerses learners in the intricate world of computer vision, specifically focusing on the powerful OpenCV library. It's tailored to provide a deep dive into both the theoretical underpinnings and practical applications of object detection, distinguishing it from simpler tasks like image recognition. Participants will explore the core principles that drive object detection algorithms, such as R-CNN and YOLO, and learn how these technologies enable the identification and precise localization of objects within images. Through hands-on demonstrations and practical exercises, the course aims to equip learners with the skills necessary to leverage OpenCV for building sophisticated object detection systems. This comprehensive approach ensures participants not only understand the mechanics behind object detection but also gain the capability to implement these solutions effectively, opening the door to a wide range of real-world applications.

What's included

9 videos1 reading3 assignments

9 videosβ€’Total 38 minutes
  • What is Object detection?β€’3 minutes
  • How does Object detection works?β€’5 minutes
  • Image Recognition vs. Object Detectionβ€’4 minutes
  • What is OpenCV?β€’4 minutes
  • Installation of OpenCV Libraryβ€’3 minutes
  • How to load images using OpenCV?β€’4 minutes
  • Demo – Reshape , Resize and Gray Scale image β€’6 minutes
  • Why open CV is used ?β€’5 minutes
  • Applications of OpenCVβ€’4 minutes
1 readingβ€’Total 10 minutes
  • Summary and Consolidation of the Moduleβ€’10 minutes
3 assignmentsβ€’Total 26 minutes
  • Knowledge Check : OpenCVβ€’20 minutes
  • Knowledge Check: Introduction to OpenCVβ€’3 minutes
  • Knowledge Check: Use cases of OpenCVβ€’3 minutes

This course is designed to empower learners by providing them with the skills and knowledge needed to excel in creative content generation using MidJourney. It offers practical guidance on optimizing prompts for superior output and fosters a deep understanding of MidJourney's interface and capabilities. By the course's conclusion, participants will be well-prepared to produce high-quality visuals and creative content, enhancing their creative skill set and opening up new opportunities for innovative expression.

What's included

16 videos2 readings5 assignments1 discussion prompt

16 videosβ€’Total 91 minutes
  • Generative AI vs. Discriminative Modelsβ€’7 minutes
  • Demysting Midjourneyβ€’6 minutes
  • MidJourney's origins and developmentβ€’3 minutes
  • MidJourney Account Setupβ€’6 minutes
  • MidJourney Subscriptionβ€’8 minutes
  • MidJourney Version Explained - Part 1β€’5 minutes
  • MidJourney Version Explained - Part 2β€’3 minutes
  • MidJourney Version Explained - Part 3β€’2 minutes
  • MidJourney Version Explained - Part 4β€’5 minutes
  • Working with MidJourney - Command Guideβ€’6 minutes
  • Demonstration of Commands in MidJourneyβ€’9 minutes
  • Working with MidJourney - Parameters Guideβ€’4 minutes
  • Demonstration of Parameters in MidJourneyβ€’9 minutes
  • Working with MidJourney - Modifying Imagesβ€’6 minutes
  • Demonstration - Concept Artβ€’5 minutes
  • Ethical Considerations for Using MidJourneyβ€’7 minutes
2 readingsβ€’Total 20 minutes
  • A Beginner's Guide to Discordβ€’10 minutes
  • Comprehensive Overview of MidJourney and Generative AIβ€’10 minutes
5 assignmentsβ€’Total 32 minutes
  • Knowledge Check: Midjourneyβ€’20 minutes
  • Knowledge Check: Gen AI Art with MidJourneyβ€’3 minutes
  • Knowledge Check: Getting Started with MidJourneyβ€’3 minutes
  • Knowledge Check: MidJourney Interfaceβ€’3 minutes
  • Knowledge Check: Creating Visuals with MidJourneyβ€’3 minutes
1 discussion promptβ€’Total 10 minutes
  • Utilization of MidJourneyβ€’10 minutes

This module is specifically designed for individuals looking to enhance their coding capabilities using GitHub Copilot, the AI-powered coding assistant. Throughout the module, participants will dive into the dynamic world of AI-assisted programming, exploring the functionalities and applications of GitHub Copilot in various coding scenarios. The module is meticulously crafted to cover key areas, including the basics of GitHub Copilot, its integration with coding environments, practical use-cases in software development, and best practices for effective collaboration with AI.

What's included

13 videos6 readings4 assignments3 discussion prompts

13 videosβ€’Total 56 minutes
  • Overview of GitHub Copilotβ€’4 minutes
  • ChatGPT vs GitHub Copilotβ€’5 minutes
  • Installation and Setup: PyCharmβ€’3 minutes
  • User Interface and Featuresβ€’3 minutes
  • Demonstration - User Interface and Featuresβ€’6 minutes
  • Working of GitHub Copilotβ€’5 minutes
  • Collaboration and Version Controlβ€’5 minutes
  • Tips and Tricksβ€’6 minutes
  • Challenges and Limitationsβ€’3 minutes
  • Use Cases and Examplesβ€’6 minutes
  • Enhancing Coding Efficiencyβ€’5 minutes
  • Troubleshooting Tipsβ€’3 minutes
  • Recap and Summarizationβ€’3 minutes
6 readingsβ€’Total 60 minutes
  • Key features of GitHub Copilotβ€’10 minutes
  • GitHub Copilot in Debugging: Enhancing Error Resolutionβ€’10 minutes
  • Customizing GitHub Copilot: Tailoring AI to Your Coding Styleβ€’10 minutes
  • GitHub Copilot Suggestions: Navigating AI Assistanceβ€’10 minutes
  • GitHub Copilot Through Context-Aware Commentsβ€’10 minutes
  • Summary: Overview and Utilization of GitHub Copilotβ€’10 minutes
4 assignmentsβ€’Total 29 minutes
  • Knowledge Check: Github Copilotβ€’20 minutes
  • Knowledge Check: GitHub Copilot-Overview, Installation, and Setupβ€’3 minutes
  • Knowledge Check: GitHub Copilot- Enhancing Developer Productivityβ€’3 minutes
  • Knowledge Check: Use Cases, Troubleshooting, and Recapβ€’3 minutes
3 discussion promptsβ€’Total 30 minutes
  • Concept of GitHub Copilotβ€’10 minutes
  • Integration of GitHub Copilot with Gitβ€’10 minutes
  • Utilizing GitHub Copilot's Suggestionsβ€’10 minutes

The "Popular Gen AI Tools" module provides a comprehensive overview of cutting-edge tools and platforms in the field of Generative AI. Through a series of informative videos, participants are introduced to a diverse range of Gen AI tools, each offering unique capabilities and applications. The module covers prominent platforms such as Dall-E 2, Bard, Hugging Face, NLG Cloud, Copy.ai, Tome, Codeium, and WriteSonic, shedding light on their features, functionalities, and potential use cases.

What's included

11 videos1 reading2 assignments1 discussion prompt

11 videosβ€’Total 71 minutes
  • Dall-E 2β€’6 minutes
  • Bardβ€’9 minutes
  • Hugging Faceβ€’3 minutes
  • Interface of Hugging Faceβ€’8 minutes
  • NLG Cloudβ€’6 minutes
  • Copy.aiβ€’4 minutes
  • Tomeβ€’13 minutes
  • Codeiumβ€’6 minutes
  • WriteSonicβ€’6 minutes
  • Products of WriteSonicβ€’2 minutes
  • Interface of WriteSonicβ€’8 minutes
1 readingβ€’Total 10 minutes
  • Summary: Overview of Gen AI Toolsβ€’10 minutes
2 assignmentsβ€’Total 23 minutes
  • Knowledge Check: Popular Gen AI Toolsβ€’20 minutes
  • Knowledge Check: Popular Gen AI Toolsβ€’3 minutes
1 discussion promptβ€’Total 10 minutes
  • AI-generated Content Platformsβ€’10 minutes

This comprehensive course covers a wide array of topics spanning from the fundamentals of chatbot development and object detection using OpenCV to advanced concepts in Generative AI and tools like MidJourney and GitHub Copilot. Participants will gain practical skills in building interactive chatbots with RASA, leveraging ChatGPT API for chatbot development, and implementing object detection applications. Additionally, they will explore the ethical considerations and use cases of AI tools like DALL-E 2 and NLG Cloud, enhancing their proficiency in the rapidly evolving field of artificial intelligence and computer vision.

What's included

1 video1 reading1 assignment

1 videoβ€’Total 2 minutes
  • Course Completion Videoβ€’2 minutes
1 readingβ€’Total 10 minutes
  • Practice Project: Criminal Identification and Detection Appβ€’10 minutes
1 assignmentβ€’Total 20 minutes
  • End Course Knowledge Checkβ€’20 minutes

Earn a career certificate

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Instructor

Edureka
203 Coursesβ€’185,724 learners

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Frequently asked questions

This course is ideal for chatbot enthusiasts, AI researchers, software developers, data scientists, and anyone interested in mastering chatbot creation and Generative AI tools.

A basic understanding of programming and AI concepts is beneficial but not mandatory. Enthusiasm to learn about chatbots and Generative AI is the key requirement.

The course duration can vary based on your pace. It's designed to be comprehensive yet flexible to accommodate both fast learners and those preferring a steady pace.

Most tools and software used in the course, including RASA and OpenCV, are open-source. For proprietary tools like GPT-3 or subscription services such as MidJourney, free tiers or demo versions may be used for learning purposes.

Yes, you will acquire the skills to design and deploy sophisticated chatbots for various platforms, and gain insights into enhancing them with Generative AI capabilities.

Upon successful completion of the course and the practice project, participants will receive a certificate acknowledging their proficiency and skills acquired.

The course is delivered through a mix of video lectures, interactive sessions, hands-on projects, and assessments to ensure a comprehensive learning experience.

Yes, enrolled students will have access to the course materials for a period after the course ends, allowing for review and further practice.

This course stands out by offering an in-depth exploration of both the technical and creative aspects of chatbot development and Generative AI, covering the latest tools and techniques in the field.

Yes, the course includes practical assignments and a final project, enabling you to apply the concepts and tools learned in real-world scenarios.

With the growing demand for AI and chatbot solutions across industries, the skills acquired in this course will position you at the forefront of AI innovation, enhancing your employability and career growth potential.

Basic programming and data handling knowledge are helpful, but the course is designed to be beginner-friendly.

To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.

When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

Financial aid available,