gist
- Growing demand. AI is having a major impact on the job market, increasing demand for AI-related skills.
- Required skill. Mastering machine learning, cloud computing, and natural language processing are some of the most sought-after AI skills.
- learning opportunities. A variety of AI courses, from beginner to advanced levels, offer opportunities to master these in-demand skills.
Artificial intelligence (AI) has become almost inevitable in the workplace, even for those in non-technical jobs.
AI collects data, recognizes patterns, uses the information it collects to make decisions, mimics human tasks, and solves problems. This technology can surpass human capabilities in many ways, especially when it comes to detecting patterns and insights in data.
Up to 300 million jobs could be affected by AI and automation, according to a 2023 Goldman Sachs report. However, AI will not completely replace human workers. AI will only change the way we work and the skills we need to succeed.
How AI will change the job market
Businesses are interested in how AI can improve operations and increase revenue. But there is also a surge in the number of job seekers interested in jobs that use or are related to AI.
“Indeed has seen an 8,200% increase in searches for AI-related jobs since March 2021,” said Trey Cozy, Indeed’s head of AI ethics. During the same period, AI-related job openings increased by 29.8%.
“This is a very significant increase over the last two years, especially on the job seeker side,” Cozy explained. “This increase shows that job seekers are interested in the field and are developing the skills to succeed there.”
Related article: Will AI chatbots make programmers obsolete?
Top AI skills sought by employers
Employers want to take advantage of everything artificial intelligence has to offer. But to do that, you need tech-savvy employees.
Let’s take a look at some of the most sought-after skills for AI-related jobs, according to data from job site Dice.
top AI skills
According to Dice data, the AI skills sought by new US job openings are:
- Machine learning (ML)
- artificial intelligence
- cloud computing
- Natural Language Processing (NLP)
- deep learning
Combined, requests for these skills in job listings increased by 15% in April 2023 compared to the previous month.
Top General AI Skills
Common AI skills sought by new US job openings include:
- computer science
- data analysis
- Math
- data science
- Predictive analytics
Top Soft AI Skills
Some of the AI soft skills sought by new US job openings include:
- problem solving
- critical thinking
In total, requests for these AI soft skills in job listings increased 20% in April 2023 compared to March 2023.
11 Best Artificial Intelligence Courses You Can Start Today
Ready to put your human intelligence to the test? The artificial intelligence courses and certifications below provide the resources you need to build the AI skills employers want.
provides: Deep learning.AI
price: $49/month (~10 hours to complete)
If you’re not in a tech job, it can be hard to know where to start when it comes to AI courses. That’s where this self-paced class comes in. It takes about 10 hours to complete and focuses on AI knowledge that anyone can use. Instruction is led by Andrew Ng, founder of DeepLearning.AI and co-founder of Coursera.
In this course, students will learn:
- Basic knowledge such as AI terminology
- AI concepts and strategies
- Machine learning project workflow
- Data science project workflow
Upon completing the course, learners will receive a shareable certificate.
provides: Duke University
price: $49/month (about 4 months to complete)
This self-paced specialization consists of four courses that a learner can complete in approximately four months. In the meantime, learners will cover the standards of good reasoning and acquire the tools they need to improve their critical thinking skills.
Over the four courses, you’ll learn:
- How to identify key parts and gaps in the discussion
- How to determine if an argument is valid a priori
- How to reason inductively
- How to Recognize and Avoid Mistakes
After completing a course that includes a grading test, students earn a shareable certificate.
provides: Harvard University
price: $348 (currently on sale for $313.20)
This Harvard self-paced certificate includes two courses that learners can complete in five months. Taught by Doug Lloyd and Brian Yu, Senior Educators in Computer Science, and David Mullan, Gordon McKay Professor of Computer Science Practice.
With this certificate you will learn:
- computer science and computer programming
- machine learning
- reinforcement learning
- How to design intelligent systems
- How to use AI in Python programs
Related article: ChatGPT has already been replaced by humans at work
provides: Google
price: free
Google’s “Fast-Paced” Introduction to Machine Learning contains 15 hours of content, including 25 lessons, 30+ exercises, lectures by researchers, and real-world case studies.
In this introductory machine learning course, you’ll learn:
- Differences between machine learning algorithms and traditional programming
- How gradient descent works
- How to present data so that the program can learn from it
- What is loss and how do we measure it
- How to build a deep neural network
provides: Harvard University
price: Free (or $199 for verified certificates)
This 7-week, self-paced course explores the concepts and algorithms underlying artificial intelligence and describes the rise of technologies such as handwriting recognition, machine translation, and game play engines.
Topics covered in this Artificial Intelligence course include:
- natural language processing
- machine learning
- neural network
- graph search algorithm
- probability theory
provides: Google
price: $498 (currently on sale for $448.20)
Another on our list of self-paced artificial intelligence courses, this professional certification program promises to teach learners “What is AI?” from Google’s own experts. It includes two courses and takes approximately three months to complete.
When you sign up for our certification program, you get:
- How machine learning, artificial intelligence, and deep learning work together
- How to use existing machine learning models
- How to create a custom machine learning model from scratch
- How to use industry standard off-the-shelf models
- How to convert a Python model to TensorFlow.js format
provides: Stanford University and DeepLearning.AI
price: $49/month (about 3 months to complete)
This self-paced online certification program takes approximately three months to complete and includes three separate courses:
- Supervised Machine Learning: Regression and Classification
- advanced learning algorithms
- Unsupervised Learning, Recommenders, Reinforcement Learning
Students will learn how to build machine learning models, how to build and train neural networks using TensorFlow, how to apply best practices to machine learning development, and more. The specialization culminates in a practical project that students must complete in order to obtain a certificate.
provides: IBM
price: $49/month (~8 months to complete)
This intermediate-level certificate from IBM is self-paced and takes approximately eight months to complete. This consists of his six courses, and as a future AI engineer you will learn:
- Building Deep Learning Models and Neural Networks
- Machine learning algorithms such as classification, regression and clustering.
- How to implement supervised and unsupervised machine learning models
- How to deploy machine learning algorithms and pipelines
The final course includes an AI Capstone Project Using Deep Learning, requiring students to apply deep learning knowledge to real-world problems. Upon completing all six courses, the learner will earn a professional certification that can be added to her LinkedIn profile.
provides: University of Edinburgh
price: Free (or $49 for verified certificates)
This course will be archived so learners can complete the module at their own pace. It will take approximately 7 weeks to complete. Perfect for those interested in intermediate to advanced artificial intelligence technology.
Students will learn:
- How to understand and articulate ethical, social, and other data lifecycle issues
- How to identify current ethical issues in data science and industry
- How to Apply Critical Judgment to Moral Problems That Have No Clear Solution
- How to assess ethical issues faced in professional practice
provides: Massachusetts Institute of Technology
price: Free (or $300 for verified certificates)
When it comes to advanced artificial intelligence courses, there’s no question that MIT goes deep into machine learning. This course includes everything learners want to know about linear models, deep learning, and reinforcement learning through hands-on Python projects.
This course is instructor-led and follows a set schedule. It took 15 weeks to complete and the average amount of work he does is about 10-14 hours per week. In this course, students will learn:
- Principles behind machine learning problems
- How to implement and analyze the model
- How to choose the right model for different applications
- How to implement and organize a machine learning project
provides: Mining Telecom Institute
price: Free (or $49 for verified certificates)
Rounding out our list of advanced AI courses is this self-paced course that covers the theoretical foundations underlying artificial intelligence. This course is self-paced and takes approximately 5 weeks to complete.
Through the five chapters of the course, students will learn:
- How to define probability and randomness in algorithmic terms
- How Algorithmic Information Sets Limits on AI’s Capabilities (Gödel’s Theorem)
- How to solve analogies and detect anomalies
- Criteria for making optimal hypotheses in learning tasks
- Why less complexity means more subjective information and interest
Offers opportunities to level up technical skills with online AI courses
The field of artificial intelligence holds immense potential for professionals looking to improve their skills and stay ahead of the curve.
The courses and certifications listed above give learners of all knowledge levels the ability to learn topics such as machine learning, natural language processing and deep learning and how they fit into the world of computer science and AI. To do.
Whether you’re a novice or a seasoned professional, there are AI courses in our certification programs to help you deepen your understanding of this exciting technology and advance your career.
