Best Ethical AI Courses to Learn in March 2025
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. AI ChatGPT for Work, Business & Finance Modeling
Instructor: John Doukasse
Learn ChatGPT, AI & DeepSeek for Work, Productivity, Business, and Modeling from a Top Instructor with 400K Students
Course Highlights:
- Rating: 5 ⭐ (10 reviews)
- Students Enrolled: 57
- Course Length: 36321 hours
- Number of Lectures: 49
- Number of Quizzes: 7
AI ChatGPT for Work, Business & Finance Modeling, has an average rating of 5, with 49 lectures, 7 quizzes, based on 10 reviews, and has 57 subscribers.
You will learn about Leverage AI tools like ChatGPT to optimize workflows, decision-making, and financial analysis Apply AI to automate financial modeling tasks, streamline data analysis and forecast trends Conduct risk assessments, scenario analysis, and predictive modeling Improve efficiency in business and finance by automating reports, research, and insights using AI Use AI to analyze markets, assess risks, and enhance investment strategies This course is ideal for individuals who are Familiarity with Microsoft Office including Excel and curiosity about AI It is particularly useful for Familiarity with Microsoft Office including Excel and curiosity about AI.
Learn More About AI ChatGPT for Work, Business & Finance Modeling
What You Will Learn
- Leverage AI tools like ChatGPT to optimize workflows, decision-making, and financial analysis
- Apply AI to automate financial modeling tasks, streamline data analysis and forecast trends
- Conduct risk assessments, scenario analysis, and predictive modeling
- Improve efficiency in business and finance by automating reports, research, and insights using AI
- Use AI to analyze markets, assess risks, and enhance investment strategies
9. 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: 4.49 ⭐ (2100 reviews)
- Students Enrolled: 21413
- Course Length: 274412 hours
- Number of Lectures: 674
- Number of Quizzes: 0
2025 Bootcamp: Generative AI, LLM Apps, AI Agents, Cursor AI, has an average rating of 4.49, with 674 lectures, based on 2100 reviews, and has 21413 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.
8. Generative AI, ChatGPT, Copilot & AI Agents Masterclass 2025
Instructor: Dr. Ryan Ahmed, Ph.D., MBA
Master AI with an Expert: Automate Workflows, Build 12 Real-World Projects, & Unlock AI Agents, ChatGPT & CoPilot!
Course Highlights:
- Rating: 4.66 ⭐ (180 reviews)
- Students Enrolled: 2179
- Course Length: 74922 hours
- Number of Lectures: 185
- Number of Quizzes: 4
Generative AI, ChatGPT, Copilot & AI Agents Masterclass 2025, has an average rating of 4.66, with 185 lectures, 4 quizzes, based on 180 reviews, and has 2179 subscribers.
You will learn about Leverage ChatGPT, Gemini, Claude, and DeepSeek for various business applications, including research, brainstorming, creative writing, and coding assistance Master Microsoft CoPilot in Excel, PowerPoint, Teams, Word, & Outlook to automate tasks such as reports generation, presentations writing & email drafting Train & fine-tune custom GPT models using your proprietary company data to enhance decision-making, automate workflows, and generate business insights Build AI agents in CoPilot to handle complex workflows, decision-making, and business operations Leverage Generative AI for data wrangling, cleaning, and analysis, including handling missing values, merging datasets, and filtering Build forecasting models using ARIMA, SARIMA, Random Forest, and Prophet, and evaluate their performance with key error metrics Perform Data Visualization using Generative AI such as bar charts, heatmaps, scatter plots, pie charts, and time-series visualizations Conduct SWOT analysis, financial KPI comparisons, supply chain evaluations, and marketing strategy assessments using AI-powered tools Implement Z-score analysis and Isolation Forest techniques to identify sales anomalies, market fluctuations, and operational inefficiencies Simulate best-case, worst-case, and moderate-case scenarios for financial planning, sales forecasting, and business growth strategies Utilize AI for financial statement analysis, data extraction from 10-K reports, sentiment analysis, and financial forecasting Use ChatGPT Canvas to draft documents, generate reports, and write code interactively, enabling seamless collaboration between AI and humans This course is ideal for individuals who are Corporate Teams & Executives seeking to implement AI strategies for improving efficiency and innovation or Business Professionals looking to leverage AI for decision-making, automation, and data-driven insights or Entrepreneurs & Startups seeking to integrate AI into their business operations for competitive advantage or Finance & Investment Analysts who want to use AI for market research, financial forecasting, and risk analysis or Data Analysts & Scientists aiming to enhance their analytical capabilities with AI-powered tools or Consultants & Strategists looking to incorporate AI-driven insights into their business recommendations or Students & AI Enthusiasts who want to gain hands-on experience with cutting-edge AI tools It is particularly useful for Corporate Teams & Executives seeking to implement AI strategies for improving efficiency and innovation or Business Professionals looking to leverage AI for decision-making, automation, and data-driven insights or Entrepreneurs & Startups seeking to integrate AI into their business operations for competitive advantage or Finance & Investment Analysts who want to use AI for market research, financial forecasting, and risk analysis or Data Analysts & Scientists aiming to enhance their analytical capabilities with AI-powered tools or Consultants & Strategists looking to incorporate AI-driven insights into their business recommendations or Students & AI Enthusiasts who want to gain hands-on experience with cutting-edge AI tools.
Learn More About Generative AI, ChatGPT, Copilot & AI Agents Masterclass 2025
What You Will Learn
- Leverage ChatGPT, Gemini, Claude, and DeepSeek for various business applications, including research, brainstorming, creative writing, and coding assistance
- Master Microsoft CoPilot in Excel, PowerPoint, Teams, Word, & Outlook to automate tasks such as reports generation, presentations writing & email drafting
- Train & fine-tune custom GPT models using your proprietary company data to enhance decision-making, automate workflows, and generate business insights
- Build AI agents in CoPilot to handle complex workflows, decision-making, and business operations
- Leverage Generative AI for data wrangling, cleaning, and analysis, including handling missing values, merging datasets, and filtering
- Build forecasting models using ARIMA, SARIMA, Random Forest, and Prophet, and evaluate their performance with key error metrics
- Perform Data Visualization using Generative AI such as bar charts, heatmaps, scatter plots, pie charts, and time-series visualizations
- Conduct SWOT analysis, financial KPI comparisons, supply chain evaluations, and marketing strategy assessments using AI-powered tools
- Implement Z-score analysis and Isolation Forest techniques to identify sales anomalies, market fluctuations, and operational inefficiencies
- Simulate best-case, worst-case, and moderate-case scenarios for financial planning, sales forecasting, and business growth strategies
- Utilize AI for financial statement analysis, data extraction from 10-K reports, sentiment analysis, and financial forecasting
- Use ChatGPT Canvas to draft documents, generate reports, and write code interactively, enabling seamless collaboration between AI and humans
7. GenAI and Cybersecurity – Frameworks and Best Practices 2025
Instructor: Sivaram A
Driving Enterprise GenAI Adoption: Tools, Frameworks, and Real-World Case Studies from Industry Leaders
Course Highlights:
- Rating: 4.67 ⭐ (24 reviews)
- Students Enrolled: 136
- Course Length: 23095 hours
- Number of Lectures: 162
- Number of Quizzes: 17
GenAI and Cybersecurity – Frameworks and Best Practices 2025, has an average rating of 4.67, with 162 lectures, 17 quizzes, based on 24 reviews, and has 136 subscribers.
You will learn about Master the foundational principles and best practices for integrating Generative AI in cybersecurity. Become aware about AI, ML, and deep learning, focusing on their applications in various industries, including a case study on Tesla Autopilot. Study the intersection of AI/ML and cybersecurity, understanding ethical considerations and potential risks with examples from real-world scenarios. Explore the latest trends as per industry reports like those from Gartner. Delve into typical cloud-based and AI-specific cybersecurity architectures, learning how they differ and why they're essential. Develop strategies for managing AI data privacy, including data quality, governance, and lifecycle management. Learn about AI risk management frameworks like NIST AI RMF, and explore case studies on navigating AI risks. Understand key AI controls and policies, including the CIA Triad, OWASP AI vulnerabilities, and AI governance frameworks. Gain knowledge about auditing AI systems, understanding components of compliance, and readiness comparisons. Explore various AI regulatory frameworks, including the EU AI Act, GDPR, and ethical AI frameworks by OECD. Understand the security implications of Generative AI, exploring defenses, future challenges, and opportunities. Learn about innovative GenAI solutions and opportunities, including custom LLM implementations and industry-specific applications. Understand how AI can be used to enhance governance practices and develop frameworks for low-risk AI adoption. Study key controversies and ethical issues in AI, as outlined by UNESCO and other bodies, to inform responsible AI practices. This course is ideal for individuals who are Product Managers: Ideal for those adopting LLM-based solutions, this course will help you enhance product development and ensure secure implementation. or Data Scientists: Perfect for professionals aiming to integrate GenAI with data-driven projects, manage biases, and mitigate security risks effectively. or Cybersecurity Teams: Essential for cybersecurity and CISO teams involved in AI/ML and GenAI adoption, focusing on securing AI initiatives and understanding emerging threats. or Business Leaders and Executives: Beneficial for business leaders and executives targeting GenAI-based use case adoption, driving innovation while maintaining compliance and security. or Innovative Problem Solvers: Suited for creative thinkers who enjoy tackling complex challenges with cutting-edge technology and AI-driven solutions. or IT Professionals: Crucial for IT experts responsible for managing and securing AI infrastructure, ensuring robust cybersecurity measures are in place. or AI Enthusiasts and Tech Innovators: Great for individuals passionate about AI, looking to stay updated with the latest trends and advancements in Generative AI and cybersecurity. or Compliance Officers and Legal Experts: Valuable for professionals overseeing compliance and regulatory aspects, providing insights into AI frameworks, policies, and ethical considerations. It is particularly useful for Product Managers: Ideal for those adopting LLM-based solutions, this course will help you enhance product development and ensure secure implementation. or Data Scientists: Perfect for professionals aiming to integrate GenAI with data-driven projects, manage biases, and mitigate security risks effectively. or Cybersecurity Teams: Essential for cybersecurity and CISO teams involved in AI/ML and GenAI adoption, focusing on securing AI initiatives and understanding emerging threats. or Business Leaders and Executives: Beneficial for business leaders and executives targeting GenAI-based use case adoption, driving innovation while maintaining compliance and security. or Innovative Problem Solvers: Suited for creative thinkers who enjoy tackling complex challenges with cutting-edge technology and AI-driven solutions. or IT Professionals: Crucial for IT experts responsible for managing and securing AI infrastructure, ensuring robust cybersecurity measures are in place. or AI Enthusiasts and Tech Innovators: Great for individuals passionate about AI, looking to stay updated with the latest trends and advancements in Generative AI and cybersecurity. or Compliance Officers and Legal Experts: Valuable for professionals overseeing compliance and regulatory aspects, providing insights into AI frameworks, policies, and ethical considerations.
Learn More About GenAI and Cybersecurity – Frameworks and Best Practices 2025
What You Will Learn
- Master the foundational principles and best practices for integrating Generative AI in cybersecurity.
- Become aware about AI, ML, and deep learning, focusing on their applications in various industries, including a case study on Tesla Autopilot.
- Study the intersection of AI/ML and cybersecurity, understanding ethical considerations and potential risks with examples from real-world scenarios.
- Explore the latest trends as per industry reports like those from Gartner.
- Delve into typical cloud-based and AI-specific cybersecurity architectures, learning how they differ and why they're essential.
- Develop strategies for managing AI data privacy, including data quality, governance, and lifecycle management.
- Learn about AI risk management frameworks like NIST AI RMF, and explore case studies on navigating AI risks.
- Understand key AI controls and policies, including the CIA Triad, OWASP AI vulnerabilities, and AI governance frameworks.
- Gain knowledge about auditing AI systems, understanding components of compliance, and readiness comparisons.
- Explore various AI regulatory frameworks, including the EU AI Act, GDPR, and ethical AI frameworks by OECD.
- Understand the security implications of Generative AI, exploring defenses, future challenges, and opportunities.
- Learn about innovative GenAI solutions and opportunities, including custom LLM implementations and industry-specific applications.
- Understand how AI can be used to enhance governance practices and develop frameworks for low-risk AI adoption.
- Study key controversies and ethical issues in AI, as outlined by UNESCO and other bodies, to inform responsible AI practices.
6. ChatGPT / AI Ethics: Ethical Intelligence for 2025
Instructor: Jess Todtfeld
Making Ethical Decisions in the Age of Intelligent Machines
Course Highlights:
- Rating: 4.53 ⭐ (9713 reviews)
- Students Enrolled: 18120
- Course Length: 16643 hours
- Number of Lectures: 95
- Number of Quizzes: 3
ChatGPT / AI Ethics: Ethical Intelligence for 2025, has an average rating of 4.53, with 95 lectures, 3 quizzes, based on 9713 reviews, and has 18120 subscribers.
You will learn about Describe the 5 principles of ethical intelligence Apply the ethical principles to AI platforms like ChatGPT, Bard, Bing and Google Search Discuss how ethical intelligence benefits the people we serve and ourselves too Do an even better job of not causing harm, telling the truth, honoring confidentiality, and other honorable ways of doing your work Have a code of conduct when working with artificial intelligence at work This course is ideal for individuals who are C-suite executives, mid-level managers, HR professionals or Compliance executives, entrepreneurs, corporate leaders or Business leaders who recognize that ethical intelligence is the key to sustained success in business and beyond. It is particularly useful for C-suite executives, mid-level managers, HR professionals or Compliance executives, entrepreneurs, corporate leaders or Business leaders who recognize that ethical intelligence is the key to sustained success in business and beyond.
Learn More About ChatGPT / AI Ethics: Ethical Intelligence for 2025
What You Will Learn
- Describe the 5 principles of ethical intelligence
- Apply the ethical principles to AI platforms like ChatGPT, Bard, Bing and Google Search
- Discuss how ethical intelligence benefits the people we serve and ourselves too
- Do an even better job of not causing harm, telling the truth, honoring confidentiality, and other honorable ways of doing your work
- Have a code of conduct when working with artificial intelligence at work
5. The Absolute Beginners Guide to Artificial Intelligence
Instructor: Alexander Oni
Learn the fundamentals of AI including Machine & Deep Learning, Natural Linguistic Processing, Neural networks and more
Course Highlights:
- Rating: 4.92 ⭐ (12 reviews)
- Students Enrolled: 86
- Course Length: 14396 hours
- Number of Lectures: 39
- Number of Quizzes: 5
The Absolute Beginners Guide to Artificial Intelligence, has an average rating of 4.92, with 39 lectures, 5 quizzes, based on 12 reviews, and has 86 subscribers.
You will learn about Understand AI Fundamentals Explore AI’s Real-World Applications Recognize AI’s Role in Everyday Life Grasp Core AI Concepts Evaluate AI's Ethical and Societal Impact Stay Informed on AI Trends This course is ideal for individuals who are Beginners who want to explore AI without coding or Business professionals who need to understand AI’s impact on their industry. or Entrepreneurs who want to leverage AI for innovation or Students preparing for careers in technology, data science, or AI-related fields It is particularly useful for Beginners who want to explore AI without coding or Business professionals who need to understand AI’s impact on their industry. or Entrepreneurs who want to leverage AI for innovation or Students preparing for careers in technology, data science, or AI-related fields.
Learn More About The Absolute Beginners Guide to Artificial Intelligence
What You Will Learn
- Understand AI Fundamentals
- Explore AI’s Real-World Applications
- Recognize AI’s Role in Everyday Life
- Grasp Core AI Concepts
- Evaluate AI's Ethical and Societal Impact
- Stay Informed on AI Trends
4. 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: 4.71 ⭐ (1730 reviews)
- Students Enrolled: 15562
- Course Length: 133319 hours
- Number of Lectures: 406
- Number of Quizzes: 0
All of AI: ChatGPT, Midjourney, Stable Diffusion & App Dev, has an average rating of 4.71, with 406 lectures, based on 1730 reviews, and has 15562 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
3. 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 ⭐ (7 reviews)
- Students Enrolled: 14
- 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 7 reviews, and has 14 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
2. The AI Engineer Course 2025: Complete AI Engineer Bootcamp
Instructor: 365 Careers
Complete AI Engineer Training: Python, NLP, Transformers, LLMs, LangChain, Hugging Face, APIs
Course Highlights:
- Rating: 4.6 ⭐ (2091 reviews)
- Students Enrolled: 18970
- Course Length: 87282 hours
- Number of Lectures: 367
- Number of Quizzes: 123
The AI Engineer Course 2025: Complete AI Engineer Bootcamp, has an average rating of 4.6, with 367 lectures, 123 quizzes, based on 2091 reviews, and has 18970 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 2025: 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
1. AI Mastery: 150+ Projects, AI Algorithms, DeepSeek AI Agents
Instructor: Vivian Aranha
AI Engineering Bootcamp – AI Algorithms, AI Models like DeepSeek R1 AI, AI Agents, Python to Real-World AI Projects
Course Highlights:
- Rating: 4.59 ⭐ (135 reviews)
- Students Enrolled: 10064
- Course Length: 218441 hours
- Number of Lectures: 320
- Number of Quizzes: 1
AI Mastery: 150+ Projects, AI Algorithms, DeepSeek AI Agents, has an average rating of 4.59, with 320 lectures, 1 quizzes, based on 135 reviews, and has 10064 subscribers.
You will learn about Master Python for Artificial Intelligence: Write efficient Python code, essential for AI and ML programming tasks. Data Preprocessing Skills for Artificial Intelligence: Prepare, clean, and transform data to enhance model performance. Statistical Knowledge for Artificial Intelligence: Apply core statistics to understand data patterns and inform decisions. Build Machine Learning Models for Artificial Intelligence: Develop and fine-tune ML models for classification, regression, and clustering. Deep Learning Proficiency: Design and train neural networks, including CNNs and RNNs, for image and sequence tasks. Utilize Transfer Learning: Adapt pre-trained models to new tasks, saving time and resources. Deploy ML Models with APIs: Create scalable APIs to serve ML models in real-world applications. Containerize with Docker: Package models for portable deployment across environments. Monitor and Maintain Models: Track model performance, detect drift, and implement retraining pipelines. Complete ML Lifecycle: Master end-to-end AI project skills, from data to deployment and ongoing maintenance. This course is ideal for individuals who are Aspiring AI Engineers: Those looking to build a career in AI and gain hands-on, production-ready skills. or Data Scientists and Analysts: Professionals who want to expand their expertise to include machine learning, deep learning, and model deployment. or Software Engineers: Developers interested in applying programming skills to AI and machine learning projects. or Career Changers: Individuals from non-technical backgrounds with foundational Python knowledge, eager to transition into AI. or Graduate Students: Students in data science, computer science, or related fields wanting a practical, job-ready experience in AI engineering. or Tech Entrepreneurs: Founders and CTOs interested in understanding AI for building AI-driven products or managing AI teams. It is particularly useful for Aspiring AI Engineers: Those looking to build a career in AI and gain hands-on, production-ready skills. or Data Scientists and Analysts: Professionals who want to expand their expertise to include machine learning, deep learning, and model deployment. or Software Engineers: Developers interested in applying programming skills to AI and machine learning projects. or Career Changers: Individuals from non-technical backgrounds with foundational Python knowledge, eager to transition into AI. or Graduate Students: Students in data science, computer science, or related fields wanting a practical, job-ready experience in AI engineering. or Tech Entrepreneurs: Founders and CTOs interested in understanding AI for building AI-driven products or managing AI teams.
Learn More About AI Mastery: 150+ Projects, AI Algorithms, DeepSeek AI Agents
What You Will Learn
- Master Python for Artificial Intelligence: Write efficient Python code, essential for AI and ML programming tasks.
- Data Preprocessing Skills for Artificial Intelligence: Prepare, clean, and transform data to enhance model performance.
- Statistical Knowledge for Artificial Intelligence: Apply core statistics to understand data patterns and inform decisions.
- Build Machine Learning Models for Artificial Intelligence: Develop and fine-tune ML models for classification, regression, and clustering.
- Deep Learning Proficiency: Design and train neural networks, including CNNs and RNNs, for image and sequence tasks.
- Utilize Transfer Learning: Adapt pre-trained models to new tasks, saving time and resources.
- Deploy ML Models with APIs: Create scalable APIs to serve ML models in real-world applications.
- Containerize with Docker: Package models for portable deployment across environments.
- Monitor and Maintain Models: Track model performance, detect drift, and implement retraining pipelines.
- Complete ML Lifecycle: Master end-to-end AI project skills, from data to deployment and ongoing maintenance.
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