Hello Learners…
Welcome to the blog…
Table Of Contents
- Introduction
- Free Generative AI Courses By Microsoft and LinkedIn 2023
- Summary
- References
Introduction
This post discusses Free Generative AI Courses By Microsoft and LinkedIn 2023. All these courses are related to Generative AI and Artificial Intelligence.
In the ever-evolving field of artificial intelligence, Generative AI has emerged as a fascinating and powerful technology. It allows machines to create, mimic, and generate content, ranging from images and music to text and even entire virtual worlds. To help individuals dive into this exciting realm, industry giants Microsoft and LinkedIn have joined forces to offer a series of free Generative AI courses in 2023
Free Generative AI Courses By Microsoft and LinkedIn 2023
Discover the skills needed to apply generative AI in your career. Learn the core concepts of artificial intelligence and Generative AI functionality.
- What Is Generative AI?
- Generative AI: The Evolution of Thoughtful Online Search
- Streamlining Your Work with Microsoft Bing Chat
- Ethics in the Age of Generative AI
- Introduction to Artificial Intelligence
1. What Is Generative AI?
- Introduction
- Generative AI is a tool in service of humanity
- What is generative AI?
- The Importance of Generative AI
- How generative AI is different than other types of AI
- How generative AI works?
- Creating your own content
- Main Models
- The most famous tools for generative AI
- Natural Language models
- Text-to-image applications
- Generative Adversarial Networks(GANs)
- VAE and Anomaly Detection
- The Future Of AI
- Future Predictions
- The Future of Jobs
- Ethics And Responsibility
- Moral and executive skill sets required to work with Generative AI
- Caution when working with Generative AI
- Conclusion
2. Generative AI: The Evolution of Thoughtful Online Search
- Introduction
- Search Engines vs. Reasoning Engines
- How does a search engine work?
- How does a Reasoning engine work?
- Comparing search engines with a reasoning engine
- What is the future of search?
- Thoughtful Search Strategies and Consideration in Reasoning Engines
- Harness the power of prompt engineering
- Thoughtful search strategies and approaches
- Conclusion
3. Streamlining Your Work with Microsoft Bing Chat
- Introduction
- Get started with chat AI
- Understand how to chat AI works
- Get access to Microsoft Bing Chat
- Chatting With Bing Chat
- Get your question answered with chat AI
- Summarize data with chat AI
- Leverage chat Ai to compose text
- Solve a variety of problems with chat AI
- Consideration of Chat AI
- Know where to chat AI data is coming from
- Disclose when you are using generative AI
- Conclusion
- Stay up-to-date with what AI can do for you
4. Ethics in the Age of Generative AI
- Introduction
- Developing the skill of ethical analysis in AI
- Distinguishing responsible tech from human behavior
- Understanding Vilas Ethical AI Framework
- Applying the Vilas Framework in a real word situation
- Preparing your organization to address ethics in AI
- Organizing data with ethics in mind
- Preparing technology teams to make ethical decisions
- Preparing C-Suite in directing responsible AI
- Preparing the Board of directors to manage risk and opportunities in AI
- Consulting your customers in building AI
- Communicating effectively organizationally and globally
- Conclusion
5. Introduction to Artificial Intelligence
- Introduction
- What is artificial intelligence?
- Define general intelligence
- The general problem solver
- Strong vs. weak AI
- The risk of machine learning
- Machine Learning
- Artificial Neural networks
- Common AI systems
- Searching for patterns in data
- Robotics
- Natural Language Processing
- The Internet of Things
- Learn From Data
- Labeled and Unlabeled data
- massive Datasets
- Identify Patterns
- Classify Data
- Cluster Data
- Reinforcement Learning
- Machine Learning Algorithms
- Common Algorithms
- K-nearest neighbor
- K-means clustering
- Regression
- Naive Bayes
- Fit the Algorithm
- Select the best Algorithm
- Follow the data
- Overfitting and Underfitting
- Artificial Neural Networks
- Build a neural networks
- Weighting the connections
- The activation bias
- Improve Accuracy
- Learning from mistakes
- Step through the network
- Where To Go From Here
- Using AI systems
- Applying AI to solve problems
Course URL: https://www.linkedin.com/learning/paths/career-essentials-in-generative-ai-by-microsoft-and-linkedin
Summary
The free Generative AI courses by Microsoft and LinkedIn in 2023 present a golden opportunity for individuals passionate about exploring the fascinating world of AI creativity. Regardless of your level of expertise, these courses provide the necessary knowledge, hands-on experience, and networking opportunities to propel your career in Generative AI. Don’t miss out on this chance to unlock your creative potential and embark on an exciting journey at the forefront of artificial intelligence. Enroll today and dive into the realm of Generative AI!
More AI Courses,
Also, read