Exploring Essential Courses to Propel Your Career in AI
Given its influence on industries, ranging from healthcare to finance, Artificial Intelligence (AI) has become more of a buzzword than anything and there is no stopping this behemoth in the foreseeable future. Many online learning platforms can help professionals get started with AI, or deepen their understanding of it like LinkedIn Learning. There are tons of courses to get started and can be constructive in many ways, but becomes another lead down the rabbit hole.
To help you get started, we spotlight five LinkedIn Learning courses that are comprehensive and well-structured with application use cases for all levels of data science practitioners from amateur to expert. Whether you want to learn about AI models, machine learning algorithms, or the impacts of AI in society these courses will give you the tools for navigating through this ever-changing landscape.
1. Artificial Intelligence Foundations: Machine Learning
Instructor: Doug Rose
First AI is a great place to enter into the world of artificial intelligence if you are new tokenizer yards and the most human-friendly (*)(ish) deck. Machine Learning — Artificial Intelligence Foundations: Machine learning by justin_ekerry
The course introduces the difference between AI and ML among others, to help students identify where they are located. The content then looks at some use cases — how Amazon and Netflix, for example, deploy machine learning to improve the customer experience. Doug Rose introduces beginners to such complex concepts through real-world examples so supervised and unsupervised learning is a child’s play for them
Something that I like about this course is the focus on real-world knowledge. Leveraging AI for Business Transformation Teaches business transformation scenarios, which do not require programming experience but detail where to apply AI and ML algorithms in common everyday problems (ideal for professionals working on non-technical roles seeking an understanding of enabling their industries by learning how to employ these techniques). Rose also discusses the ethics of AI, another important topic as it becomes more and more prevalent.
Key takeaways from the course include:
- A clear understanding of AI, machine learning, and data science
- Practical examples of how machine learning is applied in different sectors
- Insights into how businesses use AI to solve complex problems
2. Advanced AI: Ethics and Fairness in Data Science and AI
Instructor: Keith McCormick
THE ROLE OF ETHICS IN AI: As AI becomes more sophisticated, the ethics of fairness and bias are no longer confined to — or even predominant in — discussions of transparency. For a deeper examination of these issues, Keith McCormick has developed an ethical course for “Advanced AI: Ethics and Fairness in Data Science and AI.”
Course with the following themes: The course is aimed at understanding the ethical concerns of AI in decisions. Some of the subjects include mitigating algorithmic bias, demanding transparency from AI models, and ways to ensure fairness when deploying artificial intelligence systems. Real-world examples of failed AI programs, such as biased hiring algorithms and facial recognition software shared by McCormick drive home the need for developing responsible forms in this field.
To AI developers, data scientists, or policymakers the learnings provided by this course will be a screening manual for ethical best practices of its implementation. It prompts professionals to think not only in terms of what AI can do but also about what AI should do.
Key takeaways include:
- Understanding the ethical implications of AI and machine learning
- Strategies for reducing bias and ensuring fairness in AI models
- Best practices for transparency and accountability in AI systems
3. Python for Data Science and AI
Instructor: Joseph Santarcangelo
Python for Data Science and AI Joseph Santarcangelo clients with Azurea producers source Quiznumpyerer offer With Python being the most prevalent programming language in use across AI maker spaces, this certification is a broad run-through of deploying Python for data science and artificial intelligence roles.
The course kicks off with an intro to Python and why it is so important for AI, before then diving into the most popular libraries in Python – NumPy, pandas, and Matplotlib – and how to use them from start to finish manipulating data up until visualization. It also provides a guided approach to basic programming tasks, such as setting up data sets, visually displaying the data, and creating algorithms that learn from them (machine learning).
This includes the hands-on project-oriented learning experience over other courses on Udemy. Students are expected to build real-world AI projects during the course like a machine learning model for predicting housing prices and sentiment analysis over text data. Upon completion, students will have a solid foundation in Python to go on and explore more complex AI projects.
Key takeaways include:
- A strong foundation in Python programming for AI
- Experience working with key Python libraries for data science
- Practical AI projects that demonstrate real-world applications
4. AI for Business Leaders
Instructor: David Chapman
“AI for Business Leaders” by David Chapman A specialized program that teaches business executives a non-technical view of how they can use AI to bring about innovation & strategy in their businesses. While many other AI courses are geared toward the technical side, this course is designed to help business leaders and managers integrate AI into their organizations.
We will discuss a variety of AI capabilities that can drive efficiency, inform decision-making, and spawn new sources of revenue – all top-of-mind for today’s business leaders. He also shares his process of how to adopt AI technology, by acknowledging that there is a cost associated with adoption as well as concerns about data privacy and the demand for talent in the field. The course also guides how to recognize AI possibilities within an organization and create a strategy for adopting artificial intelligence.
This course is for business professionals who would like to understand how AI can help them and their teams grow, so they are ready when it comes to leading a new initiative that relies on any of the variants of futuristic technologies enabled by artificial intelligence.
Key takeaways include:
- Understanding the role of AI in business transformation
- Identifying opportunities for AI in different industries
- Building an AI strategy and roadmap for implementation
5. Neural Networks and Deep Learning
Instructor: Adam Geitgey
For those who want to delve into the cutting edge of AI, “Neural Networks and Deep Learning” by Adam Geitgey is an ideal course. Neural Networks and Deep Learning Most of the latest and most advanced AI being developed today is based on neural networks — image recognition, natural language processing to self-driving cars. This course serves as an introduction to the exciting field of neural networks and lets you master them in less than 3 hours.
Geitgey begins by describing what exactly neural networks are, and how they work in a way that is modelled on the same learning techniques we use. Mayur then walks developers through building neural networks in Python with TensorFlow, one of the most popular deep-learning frameworks. It contains PartA — Theory and practice both (By building a neural network that can recognize handwritten digits or a deep learning model for image classification)
This is an ideal course for people who have some programming background and would like to approach advanced AI subjects, getting ready to develop their deep learning models.
Key takeaways include:
- A thorough understanding of neural networks and deep learning
- Hands-on experience building deep learning models using TensorFlow
- Practical applications of neural networks in AI projects
Conclusion
AI resculpting the future of industries and careers, at all skill levels… LinkedIn Learning has a plethora to offer with its high-quality courses! If you are a business leader looking to learn how AI can drive innovation, a beginner who wants to understand the basics of AI, or professional engineering and implementing deep learning technologies these courses will help provide the skills required.
You will learn, by taking these LinkedIn Learning courses on AI, not only to improve your skills in the domain of artificial intelligence but also to establish yourself as an innovative thinking practitioner moving into a fast-paced industry. As AI is now part of business strategy and operations, the knowledge that one can gain by taking those courses will give a competitive edge in the job market as well to keep you ahead in this future which would be driven towards AI.
