Who is this course for?

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

What are the prerequisites for this course?

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.

How long is the course?

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.

Do I need to purchase any software or tools?

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.

Can I build a professional chatbot by the end of this course?

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.

Is there any certification provided?

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

How is this course delivered?

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

Can I access the course content after completion?

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

What makes this course unique?

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.

Is there any hands-on project?

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

How can this course benefit my career?

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.

What technical prerequisites do I need?

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

When will I have access to the lectures and assignments?

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.

What will I get if I subscribe to this Specialization?

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.

Is financial aid available?

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.

Generative AI Applications and Popular Tools

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Generative AI Applications and Popular Tools

This course is part of Learn Generative AI with LLMs Specialization

Instructor: Edureka

2,293 already enrolled

Included with

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6 modules

Gain insight into a topic and learn the fundamentals.

17 reviews

Beginner level

Recommended experience

1 week to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

6 modules

Gain insight into a topic and learn the fundamentals.

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.

Skills you'll gain

Tools you'll learn

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

19 assignments

Taught in English

91%

of learners achieved a positive career outcome

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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, DALL·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 DALL·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, DALL·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.

Module details

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 videosTotal 51 minutes

Course Introductory3 minutes
Introduction to Chatbot5 minutes
Use Cases of Chatbot5 minutes
How to Build a Chatbot6 minutes
Tips for Building an engaging personatlity for Chatbot4 minutes
Introduction to RASA Chatbot7 minutes
Building a Chatbot Using RASA10 minutes
Developing your own Chatbot using ChatGPT API3 minutes
Working with ChatGPT API8 minutes

5 readingsTotal 43 minutes

Course Overview10 minutes
How to use Discussion Forums?3 minutes
RASA an open-source Machine Learning framework 10 minutes
Implementing ChatGPT API with Python Script10 minutes
Summary and Consolidation of the Module10 minutes

4 assignmentsTotal 29 minutes

Knowledge Check: Introduction to Chatbot20 minutes
Knowledge Check: Introduction to Chatbot3 minutes
Knowledge Check: RASA Chatbot3 minutes
Knowledge Check: Developing your own Chatbot using ChatGPT API3 minutes

2 discussion promptsTotal 20 minutes

Challenges in creating a Chatbot 10 minutes
Advantages and Challenges of using RASA 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 videosTotal 38 minutes

What is Object detection?3 minutes
How does Object detection works?5 minutes
Image Recognition vs. Object Detection4 minutes
What is OpenCV?4 minutes
Installation of OpenCV Library3 minutes
How to load images using OpenCV?4 minutes
Demo – Reshape , Resize and Gray Scale image 6 minutes
Why open CV is used ?5 minutes
Applications of OpenCV4 minutes

1 readingTotal 10 minutes

Summary and Consolidation of the Module10 minutes

3 assignmentsTotal 26 minutes

Knowledge Check : OpenCV20 minutes
Knowledge Check: Introduction to OpenCV3 minutes
Knowledge Check: Use cases of OpenCV3 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 videosTotal 91 minutes

Generative AI vs. Discriminative Models7 minutes
Demysting Midjourney6 minutes
MidJourney's origins and development3 minutes
MidJourney Account Setup6 minutes
MidJourney Subscription8 minutes
MidJourney Version Explained - Part 15 minutes
MidJourney Version Explained - Part 23 minutes
MidJourney Version Explained - Part 32 minutes
MidJourney Version Explained - Part 45 minutes
Working with MidJourney - Command Guide6 minutes
Demonstration of Commands in MidJourney9 minutes
Working with MidJourney - Parameters Guide4 minutes
Demonstration of Parameters in MidJourney9 minutes
Working with MidJourney - Modifying Images6 minutes
Demonstration - Concept Art5 minutes
Ethical Considerations for Using MidJourney7 minutes

2 readingsTotal 20 minutes

A Beginner's Guide to Discord10 minutes
Comprehensive Overview of MidJourney and Generative AI10 minutes

5 assignmentsTotal 32 minutes

Knowledge Check: Midjourney20 minutes
Knowledge Check: Gen AI Art with MidJourney3 minutes
Knowledge Check: Getting Started with MidJourney3 minutes
Knowledge Check: MidJourney Interface3 minutes
Knowledge Check: Creating Visuals with MidJourney3 minutes

1 discussion promptTotal 10 minutes

Utilization of MidJourney10 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 videosTotal 56 minutes

Overview of GitHub Copilot4 minutes
ChatGPT vs GitHub Copilot5 minutes
Installation and Setup: PyCharm3 minutes
User Interface and Features3 minutes
Demonstration - User Interface and Features6 minutes
Working of GitHub Copilot5 minutes
Collaboration and Version Control5 minutes
Tips and Tricks6 minutes
Challenges and Limitations3 minutes
Use Cases and Examples6 minutes
Enhancing Coding Efficiency5 minutes
Troubleshooting Tips3 minutes
Recap and Summarization3 minutes

6 readingsTotal 60 minutes

Key features of GitHub Copilot10 minutes
GitHub Copilot in Debugging: Enhancing Error Resolution10 minutes
Customizing GitHub Copilot: Tailoring AI to Your Coding Style10 minutes
GitHub Copilot Suggestions: Navigating AI Assistance10 minutes
GitHub Copilot Through Context-Aware Comments10 minutes
Summary: Overview and Utilization of GitHub Copilot10 minutes

4 assignmentsTotal 29 minutes

Knowledge Check: Github Copilot20 minutes
Knowledge Check: GitHub Copilot-Overview, Installation, and Setup3 minutes
Knowledge Check: GitHub Copilot- Enhancing Developer Productivity3 minutes
Knowledge Check: Use Cases, Troubleshooting, and Recap3 minutes

3 discussion promptsTotal 30 minutes

Concept of GitHub Copilot10 minutes
Integration of GitHub Copilot with Git10 minutes
Utilizing GitHub Copilot's Suggestions10 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 videosTotal 71 minutes

Dall-E 26 minutes
Bard9 minutes
Hugging Face3 minutes
Interface of Hugging Face8 minutes
NLG Cloud6 minutes
Copy.ai4 minutes
Tome13 minutes
Codeium6 minutes
WriteSonic6 minutes
Products of WriteSonic2 minutes
Interface of WriteSonic8 minutes

1 readingTotal 10 minutes

Summary: Overview of Gen AI Tools10 minutes

2 assignmentsTotal 23 minutes

Knowledge Check: Popular Gen AI Tools20 minutes
Knowledge Check: Popular Gen AI Tools3 minutes

1 discussion promptTotal 10 minutes

AI-generated Content Platforms10 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.