Since ChatGPT was a strike with the general public, Silicon Valley has experienced a gold rush for AI. Companies that promise relational AI will transform the world are enthralling to investors, and businesses are looking for employees with the necessary skills to implement them. Although the software market may be experiencing a cooling in 2024, AI skills are also popular.
Looking to join the Artificial business? Which path into the field may suit each person ideal, depending on their current level of skill and profession’s target.
When assessing online courses, we examined the stability and acceptance of the company, the depth and variety of topics offered, the utility of the data, the value and the period. Select the options that are best for each individual or organization, because the classes and certification programs vary widely.
They are listed in order of skill levels and, within the skill level groups, sequentially. Each company typically offers a number of courses covering a range of relational AI topics. Explore these conceptual AI programs to see which ones might be appropriate for your market.
Best AI programs: Comparison tables
1. Coursera’s AI for People
A name educators are likely to view on AI programs a bit is Andrew Ng, he is an adjunct professor at Stanford University, chairman of DeepLearning. AI and director of Coursera. Ng is one of the scholars of a 2009 report on the transformation of AI technology by NVIDIA and other businesses using GPUs for serious learning. Ng is the trainer and driving power behind AI for All, a common, self- paced course — more than one million people have enrolled. Four components are included in Coursera’s AI for Anyone:
- What is AI?
- Building AI Projects
- Building AI in Your Business
- AI and Society
Pricing
For people, a Coursera accounts is$ 49-$ 79 per month with a 7- time gratis trial, depending on the program and schedule. However, the AI for All program can be taken for completely, the$ 79 per quarter cost provides access to graded projects and earning a license.
Duration
According to Coursera, the course is completed in six days.
Prerequisites
This training has no qualifications.
2. AWS’s Building a Generative AI- Set Organization via Coursera
Are you a C-suite leader trying to influence your company’s conceptual AI strategy? If so, this non-technical training assists business leaders in developing a top-down philosophy based on conceptual AI projects. It might be helpful in evoking a dialogue between technical and business officials.
Pricing
Clean if completed within the Coursera 7- time test. Usually, a Coursera accounts is$ 49-$ 79 per quarter, depending on the program and plan.
Duration
This program is roughly an hour long.
Prerequisites
This course does n’t have any prerequisites.
3. DataCamp’s Knowing Synthetic Knowledge
This well-reviewed beginner course stands out by examining AI in its broadest sense, including its practical applications and possible social effects. It offers hands-on exercises without making the person a programmer, making it a great combination of both beginner and useful content. Because it includes a part on business and organization, Datacamp’s Becoming Artificial Intelligence training is specially intriguing. This program may be of interest to business leaders looking for a non-technical description of the infrastructure and skills required to harness AI.
Pricing
This course can be accessed with a DataCamp subscription, which costs$ 25 per person per month, billed annually. A party registration is free for educators.
Duration
Including films and activities, this training lasts approximately two hours.
Prerequisites
This training has no qualifications.
4. Entry to the Generative AI Learning Path of Google Cloud
What are conceptual AI and huge language versions covered in Google Cloud’s Launch to Generative AI Learning Path for starters. Given that it is a Google product, Google Tools and Vertex AI are two distinct Google programs that are used to create conceptual AI. A section on “responsible Artificial” is included, inviting the reader to consider ethical practices in relation to the conceptual AI they might eventually develop. The Prompt Design in Vertex AI ability symbol may be awarded when you complete this learning journey.
The Generative AI for Developers Learning Path is a different Google Cloud solution.
Pricing
This program is complimentary.
Duration
The path essentially contains 8 hours and 30 hours of articles, but some of that information is tests. Individuals may take a different amount of time to complete the journey.
Prerequisites
The journey has no criteria.
5. IBM’s Introduction to Artificial Intelligence via Coursera
Since this program is taught by an IBM expert, it is likely to contain modern, real- world insight into how conceptual AI and machine learning are used today. It is an eight- hour course that covers a wide range of topics around artificial intelligence, including ethical concerns. Coursera’s Introduction to Artificial Intelligence includes quizzes that can help students earn career certificates in a variety of programs.
Pricing
Free if completed within the 7- day Coursera free trial, or$ 49-$ 79 per month afterward, depending on the course and plan. Financial aid is available.
Duration
This course, according to Coursera, will take about eight hours.
Prerequisites
This course does n’t have any prerequisites.
6. AWS Generative AI Developer Kit
We chose this one because it combines the developer kit’s fundamentals with hands-on training and knowledge about a number of AWS products, which AWS has offered a lot of AI-related courses and programs. For a business that already uses several AWS products but wants to diversify into more generative AI products and services, this might be very useful. This online, self- guided kit includes hands- on labs and AWS Jam challenges, which are gamified and AI- powered experiences.
Pricing
The AWS Skill Builder subscription includes the AWS Generative AI Developer Kit. AWS Skill Builder is accessible with a 7- day trial, after which it costs$ 29 per month or$ 449 per year.
Duration
The courses take 16 hours and 30 minutes to complete.
Prerequisites
Professionals who have never previously worked with generative AI should take this course, but it would be beneficial if they have. It would be beneficial to have taken the course AWS Technical Essentials or have comparable real-world experience if Amazon Bedrock were discussed at such a high level.
7. Computer Science Professional Certificate from Harvard University for Artificial Intelligence
The venerable university’s Introduction to Computer Science course and another course designed for AI careers, Python’s Introduction to Artificial Intelligence, are combined in Harvard’s online professional certificate. For those who want to develop software with an emphasis on AI, this certification is appropriate. This course is self-paced, and Harvard University faculty will provide pre-recorded instruction.
Pricing
Both courses together cost$ 466.20 as of the time of writing, this is a discounted price from the usual$ 518. The certification offers both courses for free, but the certification itself requires a fee.
Duration
Although these courses are self-paced, completion is anticipated to take five months and be between seven and twenty-seventy hours per week.
Prerequisites
Although a high school diploma or equivalent level of programming experience would likely be helpful, a solid foundation is not required. The Introduction to Computer Science course covers algorithms and programming in C, Python, SQL and JavaScript, as well as CSS and HTML.
8. MIT’s Professional Certificate Program in Machine Learning &, Artificial Intelligence
The program’s description sums up the educational legacy that this course has left behind, summing up the statement,” MIT has played a leading role in the rise of AI and the new category of jobs it is creating across the world economy.” Faculty at MIT who are at the cutting-edge of the field teach the certification program for professionals in AI and machine learning.
The cost of this certification program is comparable to that of a traditional college course, and it reflects that commitment.
If a learner completes at least 16 days of qualifying courses, they will be eligible to receive the certificate. Courses are typically taught June, July and August online or on MIT’s campus.
Pricing
The$ 325 application fee is included. The two courses are required:
- Machine Learning for Big Data and Text Processing: Foundations, which costs$ 2, 500 for two days.
- Machine Learning for Big Data and Text Processing: Advanced, which costs$ 3, 500 for three days.
The remaining required 11 days can be composed of elective classes, which last between two and five days each and cost between$ 2, 500 and$ 4, 700 each.
Duration
16 days.
Prerequisites
Technical professionals with at least three years of experience in computer science, statistics, physics, or electrical engineering are eligible to enroll in the Professional Certificate Program in Machine Learning & Artificial Intelligence. For example, MIT suggests this course for anyone whose work involves data analysis or for managers who want to learn more about predictive modeling.
9. Professional Program in Stanford Artificial Intelligence
A certification will be obtained if students complete the rigorous Stanford Artificial Intelligence Professional Program. Professionals who want to learn how to create artificial intelligence ( AI ) models from scratch and then tweak them for their businesses are suitable for this course. Additionally, it provides information on how to conduct their own AI research and understand research findings. This program allows students to choose between taking all eight of the eight courses or choose to enroll in individual classes in order to get a chance to work with industry professionals one to one.
The individual courses are:
- Artificial Intelligence Principles and Techniques.
- Natural Language Processing with Deep Learning.
- Natural Language Understanding.
- Machine Learning.
- Reinforcement Learning.
- Machine Learning with Graphs.
- Deep Multi- Task and Meta Learning.
- Deep Generative Models.
Pricing
The cost of the Stanford Artificial Intelligence Professional Program is$ 1,750 per course. A certificate will be issued to those who take three courses.
Duration
Each course lasts 10 weeks at 10 to 15 hours per week. On predetermined dates are courses held.
Prerequisites
Interested professionals can apply by filling out an application; however, they must demonstrate competence in the following:
- Coding in Python.
- Basic Linux command line workflows.
- College calculus and linear algebra, including derivatives, matrix/vector notation and operations.
- Probability theory.
10. Udacity’s Artificial Intelligence Nanodegree program
Graduates are trained in using artificial intelligence in the Udacity’s Nanodegree program, which provides them with practical knowledge about how to solve mathematical problems. This class is n’t about generative AI models, instead, it teaches the underpinnings of traditional search algorithms, probabilistic graphical models, and planning and scheduling systems. After completing this course, participants will gain practical experience using various kinds of algorithms:
- Planning.
- Optimization.
- Problem solving.
- Automation.
- Logistics operations.
- Aerospace.
Pricing
This course costs$ 249 per month paid monthly or$ 846 for the first four months of the subscription, after which it will cost$ 249 per month.
Duration
This course lasts about three months.
Prerequisites
This course should be taught by students with programming and mathematics backgrounds. The following skills are recommended:
- Object- oriented Python.
- Intermediate Python.
- Object- oriented programming basics.
- Basic data structures and algorithms.
- Basic descriptive statistics.
- Basic calculus.
- Command line interface basics.
- Differential calculus.
- Scripting.
- Linear algebra.
- Basic algorithms.
- Jupyter notebooks.
Is it worth taking an AI course?
Whether it is worth taking an AI course depends on many factors: the course, the individual and the job market. For instance, obtaining a certification that focuses on AI might mean making a career change or receiving a raise. AI training could be the first step toward a lucrative and life-long career, or it could help someone learn AI skills that might be appropriate for their abilities. In terms of acquiring new skills, immersing oneself in a contemporary subject can always be advantageous.
Can I learn AI without coding?
Although some introductory AI courses do n’t require coding, practitioners will still need some programming skills as they advance to more advanced courses and become familiar with the creation and use of AI models because it’s a relatively complex computing topic. Intermediate students are most likely to feel at ease using Python.
SEE: Help your business by becoming your own IT expert. ( TechRepublic Academy )
Basic programming and computer science education is included in some of these courses and certifications. More advanced courses and certifications will require learners to already have a college- level knowledge of calculus, linear algebra, probability and statistics, as well as coding.
