Here is the age of AI jobs! There is an important uptick in Hire AI-related skills and tech companies. Companies now hire AI / ML engineers than before.
As the digital regeneration companies are increasing, they seek people with ai-related skills. Papers such as AI Trainer, NLP Engineer, AI Business Strategist, Chief Ai Officer (CAIO), etc. Not to mention handsome wages paid by companies to attract top talent for these roles. According to Glassdoor- the average salary of an AI / ML engineer in the US $ 156,691.
What else, is AI a more dynamic field, and the maintenance of new technologies is important to improve. If you are a Fresher or a seasoned AI Pro, continuous learning is important to keep your career – and AI career is not different from this respect.
In this article, we cover AI certifications that can help you build a strong skill set and you can make progress in your AI career.
Best AI certifications to keep your career
There are many AI certifications available online and offline. But what’s the best for you? Finding someone equal to skill level, longing, and budget can waste time. So, we have done hard work for you. We list some of the most famous AI certifications below to consider and start your next learning goal.
If you are a greater looks to know from scrolling and enter the industry, promote your skills on a new level, or transfer to a new AI paper, the certifications below help.
1. IBM AI Developer Professional Certificate by course
PLAIN: Entry level (both people with technical and non-technical backgrounds can get the course)
space: 10-course series (6 months, 4 hours a week)
cost: Free
Course Course:
The certification contains the basics of applied AI including Learn the machinedeep learning, and neural networks. Along with the bases, the course gives you experience to build AI applications such as virtual assctuals, chatbots, etc., using IBM Watson AI AI. The course covers Python as well. You will be able to afford advanced skills including computer views and machine learning by working on real projects.
Skills covered:
- Python (for two science of data and AI)
- Using IBM Watson and its APIs to build AI applications
- Build Chatbots
- Introduction to the computer’s view and its applications
2. The artificial intelligence of UPENN and machine learning requirements with Python specialist by course
PLAIN: Intermediate (Python programming experience required)
space: 4 months (8 hours a week)
cost: Free
Course Course:
The intermediate course from UPENN is a comprehensive course to prevent your learning to AI and machine learning. From history of artificial intelligence and train a deep learning model, the course builds a strong foundation for students to start at their AI career.
Skills covered:
- Python
- Probability and statistics
- Find algorithms – a * find, depth-first search, wide first search, and more
- Learning area models – Perceptron, Neural Networks, Backpropagation
3. Stanford University of Engineering Graduate Graduate Certificate
PLAIN: Intermediate (programming skills required)
space: 20 course series (Trushor led by the teacher)
cost: $ 19,682 – $ 24,224
Course Course:
There are a total of 20 program courses, divided by 2 mandatory and 18 elective courses. You need to complete one of two mandatory courses and opt for any three of the 18 elective courses. You need a 3.0 or more GPA in each course to progress and successfully obtain certification.
Skills covered:
- Under the required courses, you will find out:
- Managed and unwavering learning
- Theory of learning
- Strengthening Learning and Control
Under elective courses, there are many options, including robotics, deep learning, etc.
4. The MIT professional program of machine learning and artificial wisdom
PLAIN: Advanced (requires at least 3 years of professional experience in a technical discipline)
space: Max. 3 years after the course eligible
cost: Application fee $ 325. Once you enroll in the program you should pay for each blind course when you take it.
Course Course:
This is a MIT in-person program and provides you with advanced mechanical and AI learning skills. The program is equally related for students who want to upward their basic skills and advanced students – while the program should precede mandatory course. You need to take 16 qualified courses to get the certificate.
Skills covered:
- Large data
- Text processing
- Predicting model
5. The artificial intelligence of UC Berkeley: business and application strategies
PLAIN: Advanced
space: 2 months (4-6 hours per week)
cost: $ 2625
Course Course:
The course focuses on building and enhance views for AI strategy from a business view. The course is ordered by AI applications in different aspects of business – including supply chain, automation, personalization of customer experience, and more. At the end of the course, you will build a project focused on implementing a AI AI project. The course contains – natural language processing, robotic, computer views, neural networks, and so on.
Skills covered:
- Artificial intelligence and its applications
- Organize and manage successful artificial intelligence application projects
- Using Models of Generative AI and Simulations for Prediction
6. The Great Learning of Andrew’s Learning
PLAIN: Intermediate (requires experience of python programming, understanding of loops, data structures, and basic understanding of linear algebra and ml)
space: 3 months (10 hours a week)
cost: Free
Course Course:
The 5-course corner of course prepares you to develop AI technology. You will have an understanding of deep learning by building and training neural networks using tools such as tensorflow and huggging face. By the end of the course, you will build a combination network of neural.
Skills covered:
- Convinced neural networks
- LSTEM
- Recurrent network network
- Transformers
- Strategies to improve neural network architectures such as dropout, batchnorm, xavier m / he initial
- Tensorflow
7. Introduction to tensorflow for artificial intelligence, machine learning and deep learning
PLAIN: Intermediate (requires experience of cython coding)
space: 22 hours
cost: Free
Course Course:
The course focuses on improving students to use tensorflow inside and outside. You can find out build, training, and optimize a Ney network using tensorflow.
Skills covered:
- Tensorflow
- Neural Networks
- Build, Train, and Improve Neural Network
8. Artiba’s artificial intelligence engineer
PLAIN: Intermediate (requires programming skills)
space: 180 days from the day of registration for the exam.
cost: $ 550
Course Course:
Comprehensive certification affirms your knowledge and skill required to start a career in AI progressing. The course can help you develop skill in AI and ML techniques. You will find the requirements of AI & ML, natural language processing, neural network, and deep learning. By the end of you in the course, you will have confidence to think, build, train, and run machine learning models.
Skills covered:
- Managed to learn
- Inspensive Learning
- Ensemble learning
- Heuristic Search Techniques
- Games with ai
- The posilistic reason for successive data
- Checking check and track
9. The introduction to Google Cloud in Generative AI
PLAIN: Entry level
space: 1 hour
cost: Free
Course Course:
The initial course from Google explains what Generative AI is and how it is different from traditional machine learning models. You will learn to develop your own Gen Ai app using Google Tools.
Skills covered:
- What is generative ai?
- Geneative AI models
- Building applications in Geneative AI
10. Certified artificial scientific scientist (CaiTm) in the United States Institute of artificial intelligence
PLAIN: Advance
space: 4-25 weeks (8-10 hours per week)
cost: $ 894
Course Course:
The certification validated a senior AI professional and the business leader in the AI acting methods that changes the business. Along with Mastering AI requirements, you can learn strategic growth and product management. The course also includes lessons about Generative AI, engineering, and computer vision.
Skills covered:
- AI and Machine learning reasons
- Deep learning and generative ai
- Strategic Growth and Product Management
- Geneative AI
- Vision on the computer
- Deep Learning
Finally
The artificial intelligence changes the face of each industry with its applications. AI professional certifications can prepare you with the skills needed to adapt and improve the scene change. If you need to raise or start a whole new career path in artificial intelligence, certifications can help. So, go register for your current certification.
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