Generative AI Applications and Popular Tools from Coursera

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.

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.

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

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

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

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Revising basic programming concepts will strengthen your understanding of the advanced topics covered in this course.

Browse courses on Computer Science

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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

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Seeking guidance from a mentor who has experience in Generative AI will accelerate your learning and provide valuable insights.

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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

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Regular practice with problem-solving challenges will enhance your ability to apply concepts from the course to real-world scenarios.

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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.

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Study Group: Collaborative Learning

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Engaging in collaborative learning sessions with peers will reinforce your understanding, provide diverse perspectives, and foster teamwork skills.

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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

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Exploring advanced techniques through guided tutorials will expand your knowledge and equip you with skills for more complex projects.

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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

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Mentoring others will reinforce your understanding of the course concepts and provide valuable experience in sharing your knowledge.

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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

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Participating in a hands-on project workshop will provide you with practical experience and insights into applying course concepts to real-world projects.

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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

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Participating in open source projects related to Generative AI will provide you with practical experience and contribute to the community.

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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

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Creating a Generative AI application will provide you with hands-on experience in applying the concepts learned in the course and showcase your skills.

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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 Developers build and maintain generative AI systems. Course topics like using MidJourney and other Generative AI tools may be useful for this role.

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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.

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Chatbot Developer

Chatbot Developers build and maintain chatbots. Course topics like building chatbots with RASA may be useful for this role.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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UX Designer

UX Designers design user interfaces for software and websites. Course topics like building chatbots with RASA may be useful for this role.

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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.

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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.

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