Generative AI: From Concept to Creation (May 2024)

Name: Generative AI: From Concept to Creation (May 2024)
Rating: 4.7 (15 reviews)

Mastering Generative AI with Cutting-Edge Free AI Tools: Unlocking Creativity in the Digital Age

Created byProton Expert Systems & Solutions

Last updated 5/2024

English

English [Auto],

What you'll learn

Understanding Generative AI Fundamentals
Diving Deeper into Generative AI Applications
Technical Foundations and Development
Ethical, Legal, and Security Considerations
Future Trends and Closing Thoughts

Course content

5 sections • 16 lectures • 2h 10m total length

Lesson 1: Introduction to Generative AI8:49
Define generative AI and its technologies, including neural networks, GANs, VAEs, RNNs, attention, and transformers, and summarize its history, landscape, advantages, drawbacks, and applications, with tools like descript and gravity.
Practice 1-1: Introduction to different generative AI tools for Audio generation8:15
Explore how to use generative ai tools for audio and video creation, including descript for text-to-speech and D-ID for presenter videos, with hands-on signup, voice selection, and export workflows.
Practice of 1-2: Generative AI tools for Content Rewriting plagiarism remover9:53
Explore generative AI tools for content rewriting, plagiarism removal, and animation video generation. Practice rewriting content, removing plagiarism, and producing explainer videos with text-to-video tools.
Practice of 1-3: Introduction to different generative AI tools for designing8:46
Explore how to use generative AI design tools like Wisley and Recraft to edit images, adjust colors, fonts, and layout, including signing up, uploading screenshots, and exporting designs.
Lesson 1: Introduction to Generative AI

Lesson 2: Diving Deeper into Generative AI Applications10:25
Discover generative AI applications across art, design, media, and software engineering, including content creation and chatbots, with hands-on tools for image, video, music, and code generation.
Practice 2-1: AI tools for Text Generation, Image generation, Music generator &8:57
Practice 2-1 introduces ai tools for text, image, music, and video generation. Learn to sign up, input prompts, generate outputs, and manage with Deep AI, Artbreeder, and Deep Dream Generator.
Practice 2-2: Code Generation, Code Review and Bug Fixing & Automated Testing5:14
Explore code generation, code review, bug fixing, and automated testing using generative AI tools like Codium and Copilot in Visual Studio Code.
Practice 2-3: Develop a Basic AI Chatbot and integrate within a project.7:10
Develop and integrate a basic ai chatbot into a project by training it with a data source, customizing its interface, and embedding a public script in your page.
Lesson 2: Diving Deeper into Generative AI Applications

Lesson 3: Technical Foundations and Development13:58
Explore the technical foundations of generative AI, covering prompt engineering, platform specific development with OpenAI and Azure, open source LM ecosystems, and the solution architecture behind GPT-4.
Practice 3-1: Generating a Short Story with Different Prompts4:40
Generate a short story using different prompts, such as 'the sun rises in the east' or 'birds chirp in the morning,' and customize with style, synopsis, outline, and story bible.
Practice 3-2: Generating LLM answers based on a given passage6:44
Generate LM answers from a given passage by building a Python project, installing transformers and ML frameworks, and writing a question_answer.py script.
Practice 3-3: Integrating Generative AI into a Chatbot8:01
Learn to integrate generative AI into a chatbot by creating an OpenAI API key, configuring a Python project with a virtual environment, and building a GPT-4 powered Flask chat interface.
Practice 3-4: OpenAI GPT-4o4:35
Explore GPT-4o's multimodal capabilities, including image and text analysis, and learn the sign-up flow, dashboard access, and paid upgrade options.
Lesson 3: Technical Foundations and Development

Lesson 4: Ethical, Legal, and Security Considerations11:19
Explore ethical, legal, and security considerations of generative AI, including privacy, data protection, bias, and misuse, and apply best practices for responsible development and deployment.
Practice 4-1: Use of Deepfake technology to manipulate & create realistic video4:51
master deepfake technology to manipulate and create realistic videos and images using erkol face swap studio and remaker, with hands-on practice.
Lesson 4: Ethical, Legal, and Security Considerations

Requirements

Basic Knowledge of Artificial Intelligence
Programming Proficiency
Understanding of Python
Curiosity and Enthusiasm

Description

Unlock the boundless potential of Generative AI in our comprehensive course designed to equip you with the skills and knowledge needed to excel in the rapidly evolving landscape of artificial intelligence. From understanding the fundamental principles of Generative AI to harnessing its power in creating diverse content such as text, images, music, and videos, this course offers a deep dive into the technical foundations, practical applications, and ethical considerations of this groundbreaking technology.

What You'll Learn:

Introduction to Generative AI: Delve into the core concepts of Generative AI, exploring its definition, key technologies, and the fascinating history behind its evolution.
Exploring Generative Models: Gain insights into the various types of Generative models, their advantages, and disadvantages, paving the way for informed decision-making in model selection.
Generative AI Applications: Unleash the creative potential of Generative AI across multiple domains, including content creation, software engineering, and conversational agents like chatbots.
Technical Foundations and Development: Master the art of prompt engineering, discover advanced techniques for maximizing model performance, and explore platform-specific development on leading AI platforms.
Ethical, Legal, and Security Considerations: Navigate the complex ethical and legal landscape surrounding Generative AI, ensuring responsible development and deployment while addressing critical security concerns.
Future Trends and Closing Thoughts: Peer into the future of Generative AI, uncovering emerging trends, innovations, and best practices to stay ahead in this dynamic field.

Why Choose This Course:

Hands-On Learning: Dive into practical, real-world projects that empower you to apply your knowledge and skills in tangible ways.
Expert Guidance: Learn from industry experts and seasoned professionals who provide invaluable insights and mentorship throughout your learning journey.
Cutting-Edge Curriculum: Stay at the forefront of technological advancements with a curriculum curated to reflect the latest trends and innovations in Generative AI.
Career Advancement: Equip yourself with in-demand skills sought after by leading tech companies and pave the way for exciting career opportunities in AI development and research.

Embark on a transformative learning experience and unleash your creativity with Generative AI. Join us on a journey of discovery, innovation, and endless possibilities.

Enroll now and become a master of Generative AI!

Who this course is for:

Ai Enthusiasts
Creative Professionals
Creative Professionals
Researchers and Academics

Generative AI: From Concept to Creation (May 2024)

What you'll learn

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Course content

Introduction to Generative AI4 lectures • 36min

Lesson 2: Diving Deeper into Generative AI Applications4 lectures • 32min

Lesson 3: Technical Foundations and Development5 lectures • 38min

Lesson 4: Ethical, Legal, and Security Considerations2 lectures • 16min

Lesson 5:Future Trends and Closing Thoughts1 lecture • 9min

Requirements

Description

Who this course is for: