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Welcome to the 'Generative AI Applications and Popular Tools' course, learning resource for mastering the intricacies of chatbot technology, including RASA, GPT-3, and OpenCV, along with an in-depth exploration of popular Generative AI tools like MidJourney, GitHub Copilot, DALL·E 2, and more.
In this immersive course, participants will embark on a detailed exploration into the world of chatbot creation and the utility of cutting-edge Generative AI tools across various domains. By the end of this course, you will be empowered to:
Read more
Welcome to the 'Generative AI Applications and Popular Tools' course, learning resource for mastering the intricacies of chatbot technology, including RASA, GPT-3, and OpenCV, along with an in-depth exploration of popular Generative AI tools like MidJourney, GitHub Copilot, DALL·E 2, and more.
In this immersive course, participants will embark on a detailed exploration into the world of chatbot creation and the utility of cutting-edge Generative AI tools across various domains. By the end of this course, you will be empowered to:
Read more
Welcome to the 'Generative AI Applications and Popular Tools' course, learning resource for mastering the intricacies of chatbot technology, including RASA, GPT-3, and OpenCV, along with an in-depth exploration of popular Generative AI tools like MidJourney, GitHub Copilot, DALL·E 2, and more.
In this immersive course, participants will embark on a detailed exploration into the world of chatbot creation and the utility of cutting-edge Generative AI tools across various domains. By the end of this course, you will be empowered to:
-Learn the art of building sophisticated chatbots using RASA, understanding its architecture, and how to tailor chatbots for diverse interaction scenarios.
-Dive into the capabilities of GPT-3, leveraging its API for creating dynamic and intelligent conversational agents that can serve a multitude of purposes.
-Gain practical skills in OpenCV for developing applications like Criminal Identification and Detection, exploring its vast applications in image and video analysis.
-Get acquainted with popular Generative AI tools including MidJourney, GitHub Copilot, DALL·E 2, Bard, and others. Learn how these tools can revolutionize Image generation, content creation, programming, and more.
-Delve into MidJourney's capabilities, from setup and subscription to using its commands and parameters for generating unique AI art. Understand ethical considerations in using Generative AI art tools.
-Through practical examples and case studies, apply what you've learned in real-world scenarios, understanding the strengths and limitations of each tool.
This course is meticulously designed for a broad audience, ranging from chatbot hobbyists and AI enthusiasts to software developers, data scientists, and digital artists. Whether you're a beginner looking to make your first chatbot or a professional aiming to integrate Generative AI into your projects, this course offers a structured approach to gaining comprehensive knowledge and practical skills.
Prerequisites: A basic grasp of programming and artificial intelligence concepts is beneficial but not strictly necessary for this course.
Join us on this educational journey to unlock the potential of chatbots and Generative AI tools, propelling your skills and positioning you at the forefront of technological innovation.
Register for this course and see more details by visiting:
OpenCourser.com/course/0hg21w/generative
What's inside
Syllabus
Building Chatbots
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.
Read more
Syllabus
Building Chatbots
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.
Read more
OpenCV
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.
Midjourney
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.
GitHub Copilot
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.
Popular Gen AI Tools
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.
Course Wrap-up and Assessments
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.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Develops chatbot and object detection skills using industry-standard tools and frameworks
Provides hands-on experience with advanced generative AI tools like MidJourney and GitHub Copilot
Covers a wide range of topics, from chatbot development to computer vision and generative AI applications
Taught by Edureka, a reputable provider of online courses
Requires a basic grasp of programming and AI concepts, making it suitable for a range of learners
Does not provide a certificate upon completion
Save this course
Save Generative AI Applications and Popular Tools to your list so you can find it easily later:
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Activities
Be better prepared
before
your course. Deepen your understanding
during
and
after
it. Supplement your coursework and achieve mastery of the topics covered
in Generative AI Applications and Popular Tools with these
activities:
Refresher: Programming Fundamentals
Show steps
Revising basic programming concepts will strengthen your understanding of the advanced topics covered in this course.
Browse courses on
Computer Science
Show steps
-
Review core programming concepts such as variables, data types, operators, and control flow.
-
Practice writing simple programs in a language you are familiar with.
Find a Mentor: Seek Guidance
Show steps
Seeking guidance from a mentor who has experience in Generative AI will accelerate your learning and provide valuable insights.
Show steps
-
Identify potential mentors in your network or through professional organizations.
-
Reach out to your potential mentors and express your interest in mentorship.
-
Prepare questions and topics to discuss during your mentoring sessions.
-
Be respectful of your mentor's time and contributions.
Practice: Problem-Solving Challenges
Show steps
Regular practice with problem-solving challenges will enhance your ability to apply concepts from the course to real-world scenarios.
Show steps
-
Find online coding platforms or resources that offer practice problems.
-
Set aside time each week to solve coding challenges.
-
Focus on understanding the problem statement and developing efficient solutions.
Six other activities
Expand to see all activities and additional details
Show all nine activities
Study Group: Collaborative Learning
Show steps
Engaging in collaborative learning sessions with peers will reinforce your understanding, provide diverse perspectives, and foster teamwork skills.
Show steps
-
Connect with classmates or fellow students.
-
Organize regular study sessions to discuss course material, solve problems, and share insights.
-
Prepare discussion topics and questions in advance.
-
Actively participate in discussions and contribute your own ideas.
-
Reflect on the sessions and identify areas for improvement.
Tutorials: Advanced Techniques
Show steps
Exploring advanced techniques through guided tutorials will expand your knowledge and equip you with skills for more complex projects.
Show steps
-
Identify specific areas where you want to enhance your skills.
-
Find reputable online tutorials or workshops that cover these advanced topics.
-
Follow the tutorials step-by-step, implementing the techniques in your own projects.
Mentor: Share Your Knowledge
Show steps
Mentoring others will reinforce your understanding of the course concepts and provide valuable experience in sharing your knowledge.
Show steps
-
Identify opportunities to mentor beginner students or peers.
-
Prepare materials and resources to support your mentees.
-
Provide guidance, answer questions, and offer feedback.
-
Reflect on your mentoring experience and identify areas for improvement.
Workshop: Hands-on Project
Show steps
Participating in a hands-on project workshop will provide you with practical experience and insights into applying course concepts to real-world projects.
Show steps
-
Research upcoming workshops or hackathons that align with the course content.
-
Register for a workshop and prepare accordingly.
-
Actively participate in the workshop, asking questions and collaborating with others.
-
Document your learnings and reflect on the project after the workshop.
Contribute: Open Source Projects
Show steps
Participating in open source projects related to Generative AI will provide you with practical experience and contribute to the community.
Show steps
-
Identify open source projects that align with your interests.
-
Review the project documentation and codebase.
-
Identify areas where you can contribute.
-
Make code contributions.
-
Engage with the project community.
Project: Develop a Generative AI Application
Show steps
Creating a Generative AI application will provide you with hands-on experience in applying the concepts learned in the course and showcase your skills.
Show steps
-
Identify a problem or task that can be solved using Generative AI.
-
Research different Generative AI models and techniques.
-
Design and develop the application using appropriate tools and libraries.
-
Test and refine the application.
-
Present or share your project with others.
Refresher: Programming Fundamentals
Show steps
Revising basic programming concepts will strengthen your understanding of the advanced topics covered in this course.
Browse courses on
Computer Science
Show steps
Show steps
Show steps
- Review core programming concepts such as variables, data types, operators, and control flow.
- Practice writing simple programs in a language you are familiar with.
Find a Mentor: Seek Guidance
Show steps
Seeking guidance from a mentor who has experience in Generative AI will accelerate your learning and provide valuable insights.
Show steps
Show steps
Show steps
- Identify potential mentors in your network or through professional organizations.
- Reach out to your potential mentors and express your interest in mentorship.
- Prepare questions and topics to discuss during your mentoring sessions.
- Be respectful of your mentor's time and contributions.
Practice: Problem-Solving Challenges
Show steps
Regular practice with problem-solving challenges will enhance your ability to apply concepts from the course to real-world scenarios.
Show steps
Show steps
Show steps
- Find online coding platforms or resources that offer practice problems.
- Set aside time each week to solve coding challenges.
- Focus on understanding the problem statement and developing efficient solutions.
Six other activities
Expand to see all activities and additional details
Show all nine activities
Study Group: Collaborative Learning
Show steps
Engaging in collaborative learning sessions with peers will reinforce your understanding, provide diverse perspectives, and foster teamwork skills.
Show steps
Show steps
Show steps
- Connect with classmates or fellow students.
- Organize regular study sessions to discuss course material, solve problems, and share insights.
- Prepare discussion topics and questions in advance.
- Actively participate in discussions and contribute your own ideas.
- Reflect on the sessions and identify areas for improvement.
Tutorials: Advanced Techniques
Show steps
Exploring advanced techniques through guided tutorials will expand your knowledge and equip you with skills for more complex projects.
Show steps
Show steps
Show steps
- Identify specific areas where you want to enhance your skills.
- Find reputable online tutorials or workshops that cover these advanced topics.
- Follow the tutorials step-by-step, implementing the techniques in your own projects.
Mentor: Share Your Knowledge
Show steps
Mentoring others will reinforce your understanding of the course concepts and provide valuable experience in sharing your knowledge.
Show steps
Show steps
Show steps
- Identify opportunities to mentor beginner students or peers.
- Prepare materials and resources to support your mentees.
- Provide guidance, answer questions, and offer feedback.
- Reflect on your mentoring experience and identify areas for improvement.
Workshop: Hands-on Project
Show steps
Participating in a hands-on project workshop will provide you with practical experience and insights into applying course concepts to real-world projects.
Show steps
Show steps
Show steps
- Research upcoming workshops or hackathons that align with the course content.
- Register for a workshop and prepare accordingly.
- Actively participate in the workshop, asking questions and collaborating with others.
- Document your learnings and reflect on the project after the workshop.
Contribute: Open Source Projects
Show steps
Participating in open source projects related to Generative AI will provide you with practical experience and contribute to the community.
Show steps
Show steps
Show steps
- Identify open source projects that align with your interests.
- Review the project documentation and codebase.
- Identify areas where you can contribute.
- Make code contributions.
- Engage with the project community.
Project: Develop a Generative AI Application
Show steps
Creating a Generative AI application will provide you with hands-on experience in applying the concepts learned in the course and showcase your skills.
Show steps
Show steps
Show steps
- Identify a problem or task that can be solved using Generative AI.
- Research different Generative AI models and techniques.
- Design and develop the application using appropriate tools and libraries.
- Test and refine the application.
- Present or share your project with others.
Career center
Learners who complete Generative AI Applications and Popular Tools will develop knowledge and skills
that may be useful to these careers:
Generative AI Developer
Generative AI Developer
Generative AI Developers build and maintain generative AI systems. Course topics like using MidJourney and other Generative AI tools may be useful for this role.
Object Detection Engineer
Object Detection Engineer
Object Detection Engineers build and maintain object detection systems. Course topics like object detection with OpenCV may be useful for this role.
Chatbot Developer
Chatbot Developer
Chatbot Developers build and maintain chatbots. Course topics like building chatbots with RASA may be useful for this role.
Computer Vision Engineer
Computer Vision Engineer
Computer Vision Engineers build and maintain computer vision systems. Course topics like object detection with OpenCV may be useful for this role.
AI Engineer
AI Engineer
AI Engineers build and maintain artificial intelligence systems. Course topics like building chatbots, using RASA, and object detection may be useful for this role.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers build and maintain machine learning models. Course topics like building chatbots with RASA, object detection with OpenCV, and Generative AI tools may be useful for this role.
AI Researcher
AI Researcher
AI Researchers research and develop new artificial intelligence technologies. Course topics like building chatbots with RASA, object detection with OpenCV, and Generative AI tools may be useful for this role.
Data Scientist
Data Scientist
Data Scientists use scientific methods to create algorithms and models to extract meaningful information and insights from data. Course topics like building chatbots with RASA, object detection with OpenCV, and Generative AI tools may be useful for this role.
Software Engineer
Software Engineer
Software Engineers build, maintain, design, and improve systems, including those used to create and implement AI chatbots. Course topics such as building chatbots, object detection, and using GitHub Copilot may be useful for this role.
Computer Scientist
Computer Scientist
Computer Scientists research and develop new computer science technologies. Course topics like building chatbots with RASA, object detection with OpenCV, and Generative AI tools may be useful for this role.
Software Developer
Software Developer
Software Developers build and maintain software systems. Course topics like building chatbots with RASA and using GitHub Copilot may be useful for this role.
Data Analyst
Data Analyst
Data Analysts analyze data to extract meaningful information and insights. Course topics like building chatbots with RASA and object detection with OpenCV may be useful for this role.
UX Designer
UX Designer
UX Designers design user interfaces for software and websites. Course topics like building chatbots with RASA may be useful for this role.
Product Manager
Product Manager
Product Managers manage the development and launch of new products. Course topics like building chatbots with RASA and using GitHub Copilot may be useful for this role.
Technical Writer
Technical Writer
Technical Writers write documentation for software and other technical products. Course topics like building chatbots with RASA and using GitHub Copilot may be useful for this role.
For more career information including salaries, visit:
OpenCourser.com/course/0hg21w/generative
Reading list
We've selected seven books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Generative AI Applications and Popular Tools.
A practical guide to object detection using OpenCV. It covers the fundamentals of image processing, feature extraction, and object detection algorithms, providing hands-on exercises and real-world examples.
Provides a practical introduction to deep learning, a type of artificial intelligence that has achieved state-of-the-art results in a wide range of tasks, including image recognition, natural language processing, and speech recognition. It covers the fundamentals of deep learning, how to build and train deep learning models, and how to evaluate deep learning models.
Provides a practical introduction to deep learning for generative AI. It covers the fundamentals of deep learning, how to use deep learning for generative AI tasks, and how to build and train generative AI models.
Save
A comprehensive textbook on computer vision, covering fundamental algorithms and applications in object detection, image segmentation, and recognition. It provides a strong theoretical foundation and practical insights into the field.
A practical guide to computer vision using Python, covering image processing, feature extraction, and object detection. It provides hands-on exercises and code examples, making it suitable for beginners and experienced practitioners alike.
A classic textbook on reinforcement learning, covering the theory and algorithms for learning optimal behavior in sequential decision-making environments. It provides a comprehensive overview of the field and its applications in robotics, game playing, and other domains.
Save
A comprehensive textbook on deep learning, covering its foundations, architectures, and applications. It provides a thorough understanding of the field and its potential to transform various industries and domains.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/0hg21w/generative
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Effort
4 week of study, 3 hours/week
Level
Introductory
Via
Coursera
Institution
Edureka
Instructor
Edureka
Language
English
Good to know
Develops chatbot and object detection skills using industry-standard tools and frameworks
Provides hands-on experience with advanced generative AI tools like MidJourney and GitHub Copilot
Covers a wide range of topics, from chatbot development to computer vision and generative AI applications
Taught by Edureka, a reputable provider of online courses
Requires a basic grasp of programming and AI concepts, making it suitable for a range of learners
Does not provide a certificate upon completion
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