Best Ethical AI Courses to Learn in December 2024
Looking to enhance your skills? We’ve curated a list of the top-rated ethical AI courses available this month. These courses are highly rated by students and offer comprehensive learning experiences.
10. 2025 Bootcamp: Generative AI, LLM Apps, AI Agents, Cursor AI
Instructor: Julio Colomer
From zero to professional level: learn the keys to Generative AI, LLM Apps, AI Agents, and Cursor AI.
Course Highlights:
- Rating: 4.53 ⭐ (1446 reviews)
- Students Enrolled: 14529
- Course Length: 270513 hours
- Number of Lectures: 653
- Number of Quizzes: 0
2025 Bootcamp: Generative AI, LLM Apps, AI Agents, Cursor AI, has an average rating of 4.53, with 653 lectures, based on 1446 reviews, and has 14529 subscribers.
You will learn about Keys to AI, Generative AI, LLM Apps, and new AI Coding Assistants like Cursor AI. LLM Apps with LangChain, CrewAI, LangGraph, LangServe and LangSmith. How to build apps without coding using Cursor AI and AI Coding Assistants. How to build the new Multimodal and Multi-Agent LLM Applications. Opportunities and threats of AI for businesses, startups, and jobs. RAG Applications in Depth: Full Stack RAG Apps and Advanced Techniques. How to manage LLMOps: Observability, Evaluation, Testing, Etc. Professional opportunities opened by Artificial Intelligence. Steps to become an Artificial Intelligence Engineer. How to introduce Artificial Intelligence into your business. Keys to LLM Applications, the highest potential applications of Generative AI. Architecture of professional LLM Applications. The RAG Technique (Retrieval Augmented Generation). Artificial Intelligence Agents. Basic and advanced LangChain, LangChain LCEL, and LangChain v010. LangSmith, LangServe, LangChain Templates. LCEL (LangChain Expression Language) in depth. Basic and advanced LlamaIndex. LlamaIndex Templates. ChatGPT, OpenAI, OpenAI functions, and the OpenAI API. Large Language Models (LLM): ChatGPT, Llama2, Mistral, Falcon, etc. Vector databases: Postgres, Pinecone, Chroma, FAISS, DeepLake, etc. Full-Stack Applications: Nextjs and FastAPI. Professional deployment: Vercel and Render. Provisional deployment: Streamlit. Cloud hosting: AWS S3. How to apply the principles of Responsible AI. Daily tools of the AI Engineer: Jupyter Notebooks, Python, Terminal, Github, Codespaces, etc. This course is ideal for individuals who are Students and professionals with and without previous experience. or Students without prior knowledge interested in taking advantage of the professional opportunities opened by the field of Artificial Intelligence. or Executives interested in introducing Artificial Intelligence into their company. or Machine Learning, Deep Learning, and Data Science professionals interested in expanding their professional opportunities in the area of Generative AI and LLM Applications. or Software application developers interested in expanding their professional opportunities by learning to develop Generative Artificial Intelligence and LLM Applications. It is particularly useful for Students and professionals with and without previous experience. or Students without prior knowledge interested in taking advantage of the professional opportunities opened by the field of Artificial Intelligence. or Executives interested in introducing Artificial Intelligence into their company. or Machine Learning, Deep Learning, and Data Science professionals interested in expanding their professional opportunities in the area of Generative AI and LLM Applications. or Software application developers interested in expanding their professional opportunities by learning to develop Generative Artificial Intelligence and LLM Applications.
Learn More About 2025 Bootcamp: Generative AI, LLM Apps, AI Agents, Cursor AI
What You Will Learn
- Keys to AI, Generative AI, LLM Apps, and new AI Coding Assistants like Cursor AI.
- LLM Apps with LangChain, CrewAI, LangGraph, LangServe and LangSmith.
- How to build apps without coding using Cursor AI and AI Coding Assistants.
- How to build the new Multimodal and Multi-Agent LLM Applications.
- Opportunities and threats of AI for businesses, startups, and jobs.
- RAG Applications in Depth: Full Stack RAG Apps and Advanced Techniques.
- How to manage LLMOps: Observability, Evaluation, Testing, Etc.
- Professional opportunities opened by Artificial Intelligence.
- Steps to become an Artificial Intelligence Engineer.
- How to introduce Artificial Intelligence into your business.
- Keys to LLM Applications, the highest potential applications of Generative AI.
- Architecture of professional LLM Applications.
- The RAG Technique (Retrieval Augmented Generation).
- Artificial Intelligence Agents.
- Basic and advanced LangChain, LangChain LCEL, and LangChain v010. LangSmith, LangServe, LangChain Templates.
- LCEL (LangChain Expression Language) in depth.
- Basic and advanced LlamaIndex. LlamaIndex Templates.
- ChatGPT, OpenAI, OpenAI functions, and the OpenAI API.
- Large Language Models (LLM): ChatGPT, Llama2, Mistral, Falcon, etc.
- Vector databases: Postgres, Pinecone, Chroma, FAISS, DeepLake, etc.
- Full-Stack Applications: Nextjs and FastAPI.
- Professional deployment: Vercel and Render.
- Provisional deployment: Streamlit.
- Cloud hosting: AWS S3.
- How to apply the principles of Responsible AI.
- Daily tools of the AI Engineer: Jupyter Notebooks, Python, Terminal, Github, Codespaces, etc.
9. AI-Videos: Be a Filmmaker with Artificial Intelligence
Instructor: Arnold Oberleiter
Text to Video: SORA by OpenAI, Heygen, RunwayML, Pika, Stable Diffusion, Dream Machine and Google Colab for social media
Course Highlights:
- Rating: 4.6 ⭐ (253 reviews)
- Students Enrolled: 2389
- Course Length: 25072 hours
- Number of Lectures: 58
- Number of Quizzes: 0
AI-Videos: Be a Filmmaker with Artificial Intelligence, has an average rating of 4.6, with 58 lectures, based on 253 reviews, and has 2389 subscribers.
You will learn about Fundamentals of AI Videos Prompt Engineering for AI Videos and everything about Diffusion Models, Loras, Seeds, and Checkpoints An overview of SORA by OpenAI Everything about Stable Video Diffusion: The simplest tool for AI videos from images MoonvalleyAI: Free Text-to-Video tool on Discord RunwayML: Everything you need to know PikaLabs: Text to Video, Video to Video, Image to Video, and Video Editing Haiper AI: Powered by Google Deepmind All about PixVerse, Morph Studios, and LTX Studios, Kaiber InVideo, Fliki, Kaiber, Lalamu, and more All about AI Avatars like Heygen, D-ID, Synthesia, Elai, and more AI videos and avatars for SEO, onboarding, social media marketing, customer acquisition, explainer videos, branding, and more Introduction to Google Colab and the best tools like Wrapfusion, Deforum, Wav2Lip, Faceswap, Deepfake, and more Personal projects such as creating, editing & cutting videos with CapCut, Pika, Shotcut Pictory and WOXO for the very lazy: Complete videos with one click Opus Pro for YouTube Shorts, Instagram, or TikTok Insight into Canva and Adobe Express for Instagram Reels and more The future of AI videos for the job market Copyrights, data protection, and copyright This course is ideal for individuals who are This course is designed for anyone interested in using AI tools for video creation, regardless of their background. or For individuals who are curious about AI and want to learn about AI videos or For entrepreneurs who want to become more efficient and save money or For anyone who wants to learn something new It is particularly useful for This course is designed for anyone interested in using AI tools for video creation, regardless of their background. or For individuals who are curious about AI and want to learn about AI videos or For entrepreneurs who want to become more efficient and save money or For anyone who wants to learn something new.
Learn More About AI-Videos: Be a Filmmaker with Artificial Intelligence
What You Will Learn
- Fundamentals of AI Videos
- Prompt Engineering for AI Videos and everything about Diffusion Models, Loras, Seeds, and Checkpoints
- An overview of SORA by OpenAI
- Everything about Stable Video Diffusion: The simplest tool for AI videos from images
- MoonvalleyAI: Free Text-to-Video tool on Discord
- RunwayML: Everything you need to know
- PikaLabs: Text to Video, Video to Video, Image to Video, and Video Editing
- Haiper AI: Powered by Google Deepmind
- All about PixVerse, Morph Studios, and LTX Studios, Kaiber InVideo, Fliki, Kaiber, Lalamu, and more
- All about AI Avatars like Heygen, D-ID, Synthesia, Elai, and more
- AI videos and avatars for SEO, onboarding, social media marketing, customer acquisition, explainer videos, branding, and more
- Introduction to Google Colab and the best tools like Wrapfusion, Deforum, Wav2Lip, Faceswap, Deepfake, and more
- Personal projects such as creating, editing & cutting videos with CapCut, Pika, Shotcut
- Pictory and WOXO for the very lazy: Complete videos with one click
- Opus Pro for YouTube Shorts, Instagram, or TikTok
- Insight into Canva and Adobe Express for Instagram Reels and more
- The future of AI videos for the job market
- Copyrights, data protection, and copyright
8. Generative AI For Managers and Leaders
Instructor: Sawan Kumar
Learn Generative AI, adoption in business processes, GenAI challenges and leading Generative AI projects
Course Highlights:
- Rating: 4.87 ⭐ (31 reviews)
- Students Enrolled: 150
- Course Length: 15072 hours
- Number of Lectures: 43
- Number of Quizzes: 5
Generative AI For Managers and Leaders, has an average rating of 4.87, with 43 lectures, 5 quizzes, based on 31 reviews, and has 150 subscribers.
You will learn about Understand Generative AI and its applications in business, including machine learning, deep learning, and AI tools for driving innovation and efficiency. Develop an AI strategy aligned with business goals, creating roadmaps for AI integration in operations, decision-making, and customer engagement. Lead AI-driven projects effectively by fostering an AI-enabled culture, promoting cross-functional collaboration, and influencing peers and stakeholders. Apply responsible AI practices, ensuring ethical use, mitigating bias, and complying with data privacy regulations for building trust and transparency. Utilize AI for data-driven decision-making, enhancing leadership skills to make faster, more informed, and strategic decisions using AI tools and insights. Foster a culture of AI experimentation, encouraging innovation, upskilling teams, and empowering employees to leverage AI for business growth and creativity. Stay updated on AI trends and advancements with the latest tools and technologies, positioning your business to lead in an AI-driven future. This course is ideal for individuals who are Business leader or Managers or Aspiring leaders or Professionals in any industry or Entrepreneurs and startup founders or Client-facing executives and consultants It is particularly useful for Business leader or Managers or Aspiring leaders or Professionals in any industry or Entrepreneurs and startup founders or Client-facing executives and consultants.
Learn More About Generative AI For Managers and Leaders
What You Will Learn
- Understand Generative AI and its applications in business, including machine learning, deep learning, and AI tools for driving innovation and efficiency.
- Develop an AI strategy aligned with business goals, creating roadmaps for AI integration in operations, decision-making, and customer engagement.
- Lead AI-driven projects effectively by fostering an AI-enabled culture, promoting cross-functional collaboration, and influencing peers and stakeholders.
- Apply responsible AI practices, ensuring ethical use, mitigating bias, and complying with data privacy regulations for building trust and transparency.
- Utilize AI for data-driven decision-making, enhancing leadership skills to make faster, more informed, and strategic decisions using AI tools and insights.
- Foster a culture of AI experimentation, encouraging innovation, upskilling teams, and empowering employees to leverage AI for business growth and creativity.
- Stay updated on AI trends and advancements with the latest tools and technologies, positioning your business to lead in an AI-driven future.
7. Non Functional Testing for LLM, Chatbots and AI Models
Instructor: Dan Andrei Bucureanu
Learn essential AI testing techniques to ensure reliable, ethical, and human-like performance of advanced AI systems
Course Highlights:
- Rating: 4.8 ⭐ (10 reviews)
- Students Enrolled: 36
- Course Length: 21669 hours
- Number of Lectures: 68
- Number of Quizzes: 0
Non Functional Testing for LLM, Chatbots and AI Models, has an average rating of 4.8, with 68 lectures, based on 10 reviews, and has 36 subscribers.
You will learn about Understand how AI is working Understand basic software testing Understand how AI is tested compared to traditional software Gain knowledge on testing for ethics Demo on testing Chat GPT with automated Tools Understand Adversarial Testing techniques Understand how to test for a human like conversation Create a framework for testing bias, toxicity and hate with PerspectiveAPI This course is ideal for individuals who are Citizen Developer or Software testers or Quality engineers or Social Engineers or Prompt Engineers or Product Managers or Engineering Directors It is particularly useful for Citizen Developer or Software testers or Quality engineers or Social Engineers or Prompt Engineers or Product Managers or Engineering Directors.
Learn More About Non Functional Testing for LLM, Chatbots and AI Models
What You Will Learn
- Understand how AI is working
- Understand basic software testing
- Understand how AI is tested compared to traditional software
- Gain knowledge on testing for ethics
- Demo on testing Chat GPT with automated Tools
- Understand Adversarial Testing techniques
- Understand how to test for a human like conversation
- Create a framework for testing bias, toxicity and hate with PerspectiveAPI
6. The AI Engineer Course 2024: Complete AI Engineer Bootcamp
Instructor: 365 Careers
Complete AI Engineer Training: Python, NLP, Transformers, LLMs, LangChain, Hugging Face, APIs
Course Highlights:
- Rating: 4.54 ⭐ (649 reviews)
- Students Enrolled: 7151
- Course Length: 78172 hours
- Number of Lectures: 352
- Number of Quizzes: 123
The AI Engineer Course 2024: Complete AI Engineer Bootcamp, has an average rating of 4.54, with 352 lectures, 123 quizzes, based on 649 reviews, and has 7151 subscribers.
You will learn about The course provides the entire toolbox you need to become an AI Engineer Understand key Artificial Intelligence concepts and build a solid foundation Start coding in Python and learn how to use it for NLP and AI Impress interviewers by showing an understanding of the AI field Apply your skills to real-life business cases Harness the power of Large Language Models Leverage LangChain for seamless development of AI-driven applications by chaining interoperable components Become familiar with Hugging Face and the AI tools it offers Use APIs and connect to powerful foundation models Utilize Transformers for advanced speech-to-text This course is ideal for individuals who are You should take this course if you want to become an AI Engineer or if you want to learn about the field or This course is for you if you want a great career or The course is also ideal for beginners, as it starts from the fundamentals and gradually builds up your skills It is particularly useful for You should take this course if you want to become an AI Engineer or if you want to learn about the field or This course is for you if you want a great career or The course is also ideal for beginners, as it starts from the fundamentals and gradually builds up your skills.
Learn More About The AI Engineer Course 2024: Complete AI Engineer Bootcamp
What You Will Learn
- The course provides the entire toolbox you need to become an AI Engineer
- Understand key Artificial Intelligence concepts and build a solid foundation
- Start coding in Python and learn how to use it for NLP and AI
- Impress interviewers by showing an understanding of the AI field
- Apply your skills to real-life business cases
- Harness the power of Large Language Models
- Leverage LangChain for seamless development of AI-driven applications by chaining interoperable components
- Become familiar with Hugging Face and the AI tools it offers
- Use APIs and connect to powerful foundation models
- Utilize Transformers for advanced speech-to-text
5. AI Literacy Basics: Applying Generative AI in the Workplace
Instructor: Nicolle Merrill
Practical AI for beginners. Learn generative AI tools for your job, no programming or tech background required.
Course Highlights:
- Rating: 4.74 ⭐ (53 reviews)
- Students Enrolled: 229
- Course Length: 15403 hours
- Number of Lectures: 56
- Number of Quizzes: 0
AI Literacy Basics: Applying Generative AI in the Workplace, has an average rating of 4.74, with 56 lectures, based on 53 reviews, and has 229 subscribers.
You will learn about Demonstrate the ability to use at least three generative AI tools relevant to your job function. Apply prompt engineering techniques to effectively communicate with AI tools for improved results. Develop a strategy for integrating generative AI tools into your daily work routine to enhance productivity. Identify at least five practical applications of generative AI in various business functions. Evaluate the potential benefits and limitations of implementing generative AI in your role. Formulate effective questions and prompts to maximize the utility of generative AI in problem-solving scenarios. Adapt existing workflows to incorporate generative AI tools for improved efficiency. Articulate the potential impact of generative AI on your industry and career trajectory. Communicate the value and limitations of generative AI to both technical and non-technical stakeholders. Create a personal action plan for continuous learning and skill development in the field of AI. This course is ideal for individuals who are This course on AI Literacy and using generative AI tools in the workplace is designed specifically for business professionals and working professionals who do not have a programming or technical background. It caters to individuals across various industries, job roles, and departments who want to develop a practical understanding of generative AI and how to effectively leverage these tools to enhance their productivity and job performance, without needing to learn how to code or get into the technical weeds. or Whether you're in marketing, sales, operations, HR, finance, project management or any other business function, this course will empower you to become AI-literate and harness the potential of generative AI in your specific workplace context. No prior programming experience is required. The curriculum is tailored for non-technical professionals, focusing on building conceptual knowledge about generative AI, applying critical thinking to its uses and implications, and gaining hands-on experience with user-friendly generative AI applications relevant to typical business workflows. It is particularly useful for This course on AI Literacy and using generative AI tools in the workplace is designed specifically for business professionals and working professionals who do not have a programming or technical background. It caters to individuals across various industries, job roles, and departments who want to develop a practical understanding of generative AI and how to effectively leverage these tools to enhance their productivity and job performance, without needing to learn how to code or get into the technical weeds. or Whether you're in marketing, sales, operations, HR, finance, project management or any other business function, this course will empower you to become AI-literate and harness the potential of generative AI in your specific workplace context. No prior programming experience is required. The curriculum is tailored for non-technical professionals, focusing on building conceptual knowledge about generative AI, applying critical thinking to its uses and implications, and gaining hands-on experience with user-friendly generative AI applications relevant to typical business workflows.
Learn More About AI Literacy Basics: Applying Generative AI in the Workplace
What You Will Learn
- Demonstrate the ability to use at least three generative AI tools relevant to your job function.
- Apply prompt engineering techniques to effectively communicate with AI tools for improved results.
- Develop a strategy for integrating generative AI tools into your daily work routine to enhance productivity.
- Identify at least five practical applications of generative AI in various business functions.
- Evaluate the potential benefits and limitations of implementing generative AI in your role.
- Formulate effective questions and prompts to maximize the utility of generative AI in problem-solving scenarios.
- Adapt existing workflows to incorporate generative AI tools for improved efficiency.
- Articulate the potential impact of generative AI on your industry and career trajectory.
- Communicate the value and limitations of generative AI to both technical and non-technical stakeholders.
- Create a personal action plan for continuous learning and skill development in the field of AI.
4. Change Management for Generative AI
Instructor: Peter Alkema
Master Change Management with Generative AI: Leadership, Resistance Handling, Ethical AI Use, and Innovation Strategy
Course Highlights:
- Rating: 4.63 ⭐ (4 reviews)
- Students Enrolled: 92
- Course Length: 19766 hours
- Number of Lectures: 108
- Number of Quizzes: 22
Change Management for Generative AI, has an average rating of 4.63, with 108 lectures, 22 quizzes, based on 4 reviews, and has 92 subscribers.
You will learn about Explain the fundamentals of change management in the context of generative AI technologies. Describe how generative AI is transforming traditional change management processes. Analyze the challenges and opportunities presented by AI-driven change in organizational settings. Evaluate real-life examples of change management in generative AI to identify best practices. Lead AI transformation projects effectively by applying proven leadership strategies in change management. Assign roles and responsibilities to team members in AI change initiatives to ensure successful outcomes. Develop a comprehensive change management strategy for generative AI adoption. Diagnose resistance to generative AI adoption and develop strategies to address it. Utilize communication techniques to reduce resistance and enhance acceptance of generative AI projects. Cultivate a culture of innovation within an organization to support generative AI initiatives. Foster collaboration and creativity in teams working on generative AI projects. Communicate the benefits and impacts of generative AI adoption to various stakeholders effectively. Align organizational strategies with generative AI implementation to achieve business goals. Assess organizational readiness for generative AI projects using a structured framework. Promote diversity and inclusion within AI teams to enhance project outcomes. Apply ethical guidelines in decision-making processes for generative AI projects. Measure the success of generative AI change initiatives using key performance indicators. Build resilience in teams to adapt to challenges faced during generative AI transformation. Implement agile project management methodologies in generative AI projects to enhance flexibility and responsiveness. Innovate with generative AI technologies to maintain competitive advantage and drive business success. This course is ideal for individuals who are Organizational leaders seeking to introduce or expand the use of Generative AI in their companies. or Change management professionals looking to specialize in AI-driven transformation initiatives. or IT and AI project managers aiming to incorporate effective change management strategies in their projects. or HR and talent development professionals tasked with facilitating a culture that embraces AI innovations. or Diversity and inclusion officers focusing on ensuring AI initiatives are inclusive and equitable. or Regulatory and compliance professionals within organizations adopting Generative AI technologies. It is particularly useful for Organizational leaders seeking to introduce or expand the use of Generative AI in their companies. or Change management professionals looking to specialize in AI-driven transformation initiatives. or IT and AI project managers aiming to incorporate effective change management strategies in their projects. or HR and talent development professionals tasked with facilitating a culture that embraces AI innovations. or Diversity and inclusion officers focusing on ensuring AI initiatives are inclusive and equitable. or Regulatory and compliance professionals within organizations adopting Generative AI technologies.
Learn More About Change Management for Generative AI
What You Will Learn
- Explain the fundamentals of change management in the context of generative AI technologies.
- Describe how generative AI is transforming traditional change management processes.
- Analyze the challenges and opportunities presented by AI-driven change in organizational settings.
- Evaluate real-life examples of change management in generative AI to identify best practices.
- Lead AI transformation projects effectively by applying proven leadership strategies in change management.
- Assign roles and responsibilities to team members in AI change initiatives to ensure successful outcomes.
- Develop a comprehensive change management strategy for generative AI adoption.
- Diagnose resistance to generative AI adoption and develop strategies to address it.
- Utilize communication techniques to reduce resistance and enhance acceptance of generative AI projects.
- Cultivate a culture of innovation within an organization to support generative AI initiatives.
- Foster collaboration and creativity in teams working on generative AI projects.
- Communicate the benefits and impacts of generative AI adoption to various stakeholders effectively.
- Align organizational strategies with generative AI implementation to achieve business goals.
- Assess organizational readiness for generative AI projects using a structured framework.
- Promote diversity and inclusion within AI teams to enhance project outcomes.
- Apply ethical guidelines in decision-making processes for generative AI projects.
- Measure the success of generative AI change initiatives using key performance indicators.
- Build resilience in teams to adapt to challenges faced during generative AI transformation.
- Implement agile project management methodologies in generative AI projects to enhance flexibility and responsiveness.
- Innovate with generative AI technologies to maintain competitive advantage and drive business success.
3. All of AI: ChatGPT, Midjourney, Stable Diffusion & App Dev
Instructor: Arnold Oberleiter
ChatGPT, Prompt Engineering, OpenAI API, GPTs, Chatbots, Automation, AI-Apps, Generative AI, Machine Learning, Copilot
Course Highlights:
- Rating: 4.67 ⭐ (1349 reviews)
- Students Enrolled: 12772
- Course Length: 133319 hours
- Number of Lectures: 405
- Number of Quizzes: 0
All of AI: ChatGPT, Midjourney, Stable Diffusion & App Dev, has an average rating of 4.67, with 405 lectures, based on 1349 reviews, and has 12772 subscribers.
You will learn about Introduction to AI: What Artificial Intelligence Is and What It Is Not Detailed prompt engineering for Midjourney, ChatGPT, Dall-E, Stable Diffusion, Adobe Firefly and more Understanding Learning Methods: Machine Learning, Deep Learning, Neural Networks Examples of AI: FSD, LLMs, Voice Assistants, Diffusion Models, Deepfakes & More Fundamentals of ChatGPT The Basics of AI All Functions of ChatGPT The History of AI from DeepMind to AlphaGO by IBM How LLMs (Large Language Models) Work Using the OpenAI Playground Working with the OpenAI API and Assistant API How Diffusion Models Work Building Your Own GPTs Building Assistants with OpenAI Building Simple Apps with the OpenAI API Supervised Learning and Reinforcement Learning Speech and Image Recognition Everything About GPTs and the GPT Store Creating a Builder Profile and Earning Money with GPTs Generating Leads with GPTs Integrating Zapier Actions into GPTs Incorporating GPTs into Websites with Flowsie and Node JS Overview of Programming Languages, Libraries, and Development Tools Using Google Colab Exploring GitHub and Huggingface Details About LLMs: Parameters, Prompt Engineering, Multimodality GPT Vision Training Your Own Diffusion Models Fine-Tuning of Diffusion Models [Loras] with Colab and Dreambooth Everything About Loras and Models in Stable Diffusion Creating Your Own Face with Stable Diffusion Using Diffusion Models like Midjourney, Adobe Firefly, and Dall-E Fine-Tuning of LLMs [GPT] in Google Colab Text-to-Speech with Elevenlabs and Whisper Creating Music Videos with Deforum Social Media Videos with Wrapfusion and Kaiber Deepfakes with WAV2Lip and Voice Cloning AI Avatars with Midjourney, Elevenlabs, and D-ID Ethical Concerns, Copyright, Privacy Issues Create content faster than ever before through effective prompt techniques Opportunities and risks of AI/ML like ChatGPT AI Voice Tools: Easily create AI-generated speech for any use case and even clone your own voice completely AI Video Tools: Create video presentations and quickly produce social media content AI Photo Tools: Add movement to images, edit pictures using inpainting and outpainting Combine AI tools for the best results with Upscaling and more Learn, improve, and debug code programming Programming your own games Monetizing your AI skills and learn how to make Money with AI Side Hustle Ideas and how to Sell ChatBots Building a AI Automation Agency Boosting productivity in all areas of your life SEO optimization of your content All parameters and modifiers in Leonardo and Midjourney This course is ideal for individuals who are This course is aimed at everyone who is interested in using AI tools like ChatGPT, regardless of their background. or To everyone who wants to learn something new or To entrepreneurs who want to become more efficient and save money or Private individuals who are interested in AI and want to build their own models. It is particularly useful for This course is aimed at everyone who is interested in using AI tools like ChatGPT, regardless of their background. or To everyone who wants to learn something new or To entrepreneurs who want to become more efficient and save money or Private individuals who are interested in AI and want to build their own models.
Learn More About All of AI: ChatGPT, Midjourney, Stable Diffusion & App Dev
What You Will Learn
- Introduction to AI: What Artificial Intelligence Is and What It Is Not
- Detailed prompt engineering for Midjourney, ChatGPT, Dall-E, Stable Diffusion, Adobe Firefly and more
- Understanding Learning Methods: Machine Learning, Deep Learning, Neural Networks
- Examples of AI: FSD, LLMs, Voice Assistants, Diffusion Models, Deepfakes & More
- Fundamentals of ChatGPT
- The Basics of AI
- All Functions of ChatGPT
- The History of AI from DeepMind to AlphaGO by IBM
- How LLMs (Large Language Models) Work
- Using the OpenAI Playground
- Working with the OpenAI API and Assistant API
- How Diffusion Models Work
- Building Your Own GPTs
- Building Assistants with OpenAI
- Building Simple Apps with the OpenAI API
- Supervised Learning and Reinforcement Learning
- Speech and Image Recognition
- Everything About GPTs and the GPT Store
- Creating a Builder Profile and Earning Money with GPTs
- Generating Leads with GPTs
- Integrating Zapier Actions into GPTs
- Incorporating GPTs into Websites with Flowsie and Node JS
- Overview of Programming Languages, Libraries, and Development Tools
- Using Google Colab
- Exploring GitHub and Huggingface
- Details About LLMs: Parameters, Prompt Engineering, Multimodality
- GPT Vision
- Training Your Own Diffusion Models
- Fine-Tuning of Diffusion Models [Loras] with Colab and Dreambooth
- Everything About Loras and Models in Stable Diffusion
- Creating Your Own Face with Stable Diffusion
- Using Diffusion Models like Midjourney, Adobe Firefly, and Dall-E
- Fine-Tuning of LLMs [GPT] in Google Colab
- Text-to-Speech with Elevenlabs and Whisper
- Creating Music Videos with Deforum
- Social Media Videos with Wrapfusion and Kaiber
- Deepfakes with WAV2Lip and Voice Cloning
- AI Avatars with Midjourney, Elevenlabs, and D-ID
- Ethical Concerns, Copyright, Privacy Issues
- Create content faster than ever before through effective prompt techniques
- Opportunities and risks of AI/ML like ChatGPT
- AI Voice Tools: Easily create AI-generated speech for any use case and even clone your own voice completely
- AI Video Tools: Create video presentations and quickly produce social media content
- AI Photo Tools: Add movement to images, edit pictures using inpainting and outpainting
- Combine AI tools for the best results with Upscaling and more
- Learn, improve, and debug code programming
- Programming your own games
- Monetizing your AI skills and learn how to make Money with AI
- Side Hustle Ideas and how to Sell ChatBots
- Building a AI Automation Agency
- Boosting productivity in all areas of your life
- SEO optimization of your content
- All parameters and modifiers in Leonardo and Midjourney
2. Full AI Course: ChatGPT, Google Gemini, Midjourney, Firefly
Instructor: Tanmoy Das
Use AI For Everything, Digital Marketing, Social Media, At Work, Business Automation, Make Money, SEO, Video Production
Course Highlights:
- Rating: 4.69 ⭐ (58 reviews)
- Students Enrolled: 2825
- Course Length: 92877 hours
- Number of Lectures: 384
- Number of Quizzes: 0
Full AI Course: ChatGPT, Google Gemini, Midjourney, Firefly, has an average rating of 4.69, with 384 lectures, based on 58 reviews, and has 2825 subscribers.
You will learn about ChatGPT: Start using ChatGPT with beginner to advanced prompts & techniques ChatGPT for Digital Marketing ChatGPT for Social Media Marketing ChatGPT for Google Ads & Social Media Ads AI for Productivity: 10x what you do for business or personal work with ChatGPT Google Gemini: research, create, edit with Google's ChatGPT competitor AI for Business: Save time & money with ChatGPT Midjourney: Create incredible AI art with this powerful tool Prompt Engineering: Write better prompts that get more advanced, personal and professional results Other AI Tools for tasks like automated video creation, AI audio voice overs, and more This course is ideal for individuals who are Anyone who wants to stay up-to-date with technological advancements and gain a competitive edge in their field. or Marketers and content creators who want to streamline their workflow and improve their productivity using ChatGPT. or Business owners who want to improve their marketing, content creation, and customer engagement using ChatGPT. or Researchers who want to conduct effective research for academic or professional purposes using ChatGPT. or Students who want to improve their academic writing skills and use ChatGPT to answer questions related to their coursework. It is particularly useful for Anyone who wants to stay up-to-date with technological advancements and gain a competitive edge in their field. or Marketers and content creators who want to streamline their workflow and improve their productivity using ChatGPT. or Business owners who want to improve their marketing, content creation, and customer engagement using ChatGPT. or Researchers who want to conduct effective research for academic or professional purposes using ChatGPT. or Students who want to improve their academic writing skills and use ChatGPT to answer questions related to their coursework.
Learn More About Full AI Course: ChatGPT, Google Gemini, Midjourney, Firefly
What You Will Learn
- ChatGPT: Start using ChatGPT with beginner to advanced prompts & techniques
- ChatGPT for Digital Marketing
- ChatGPT for Social Media Marketing
- ChatGPT for Google Ads & Social Media Ads
- AI for Productivity: 10x what you do for business or personal work with ChatGPT
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1. Ethical Generative AI: A Practical Guide for Professionals
Instructor: Dr. Seema Chokshi
Understand Generative AI, Navigate Ethical Issues, Apply Mitigation Techniques, and Implement Assessment Frameworks
Course Highlights:
- Rating: 5 ⭐ (6 reviews)
- Students Enrolled: 12
- Course Length: 4272 hours
- Number of Lectures: 13
- Number of Quizzes: 5
Ethical Generative AI: A Practical Guide for Professionals, has an average rating of 5, with 13 lectures, 5 quizzes, based on 6 reviews, and has 12 subscribers.
You will learn about Understand the fundamentals of Generative AI Models /tools Types of Ethical issues with Generative AI models/tools Learn to identify ethical issues when using Generative AI models/ tools Learn to successfully mitigate ethical issues when using Generative AI models/tools Learn the framework to assess the Ethical impact of an AI tool This course is ideal for individuals who are Business Professionals and leaders, Executives who want to become responsible users of Generative AI It is particularly useful for Business Professionals and leaders, Executives who want to become responsible users of Generative AI.
Learn More About Ethical Generative AI: A Practical Guide for Professionals
What You Will Learn
- Understand the fundamentals of Generative AI Models /tools
- Types of Ethical issues with Generative AI models/tools
- Learn to identify ethical issues when using Generative AI models/ tools
- Learn to successfully mitigate ethical issues when using Generative AI models/tools
- Learn the framework to assess the Ethical impact of an AI tool
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