The age of the work of AI is here! There is a significant increase in the Hiring skills related to AI in it and technological companies. Today’s companies are hiring more AI/ml engineers than ever.
As companies focus more and more on digital transformation, they are looking for people equipped with AI -related skills. The roles such as the AI coach, the NLP engineer, the business strategist of AI, the director of AI (CAIO), etc. They are increasing. Not to mention the handsome salaries that companies are paying to attract the best talents for these roles. According to Glassdoor, the average salary of an IA/ ML engineer in the United States is $ 156,691.
In addition, AI is a highly dynamic field, and keeping up with new technologies is essential to prosper. Whether it is a more fresh or experienced year, continuous learning is important to advance in your career, and the career of AI is no different in this regard.
In this article, we will cover the AI certifications that can help you build a set of solid skills and allow you to prosper in your AI career.
The best AI certifications to advance in your career
There are broad certifications of AI available online and offline. But which is the best for you? Finding the one that matches its level of skill, aspirations and budget can take a long time. So, we have done hard work for you. We have listed some of the most popular AI certifications below to consider and start with their next learning objective.
Whether it is a cooler to seek to learn from scratch and enter the industry, advance your skills to a new level or make the transition to a completely new role, certifications can then help you.
1. Professional Certificate of IBM AI developers per Coursera
Level: Input level (both people with technical and non -technical history can take the course)
Duration: Series of 10 courses (6 months, 4 hours a week)
Cost: Free
General description of the course:
The certification covers the fundamentals of the applied AI that includes Automatic learning, deep learning and neural networks. Together with the fundamentals, the course gives you practical experience in the construction of applications of ia as virtual assistants, chatbots, etc., using IBM Watson AI services and API. The course also covers Python. It will be equipped with advanced skills that include computer vision and automatic learning working on real projects.
Covered skills:
- Python (both for data science and AI)
- Use of IBM Watson and its API to build AI applications
- Building chatbots
- Introduction to computer vision and its applications
2. UPENN artificial intelligence and essential automatic learning elements with Python’s specialization by Coursera
Level: Intermediate (experience is required with Python programming)
Duration: 4 months (8 hours a week)
Cost: Free
General description of the course:
The UPENN intermediate course is an integral course to start their learning in AI and automatic learning. From the history of artificial intelligence and the training of a deep learning model, the course builds a solid basis for students to start their career in AI.
Covered skills:
- Piton
- Probability and statistics
- Search-A algorithms, search for first depth, search for amplitude and more
- Deep learning models: perceptrones, neuronal networks, backpropagation
3. Postgraduate certificate of artificial intelligence from the Stanford University of Engineering
Level: Intermediate (programming skills are required)
Duration: 20 series of courses (course led by the instructor)
Cost: $ 19,682 – $ 24,224
General description of the course:
There are a total of 20 courses in the program, divided into 2 mandatory and 18 elective courses. You must complete one of the two mandatory courses and opt for three of the 18 elective courses. You need a GPA of 3.0 or more in each course to advance and obtain the certification successfully.
Covered skills:
- In the required courses, you will learn:
- Supervised and supervisory learning
- Learning Theory
- Learning and reinforcement control
Under elective courses, it has a multitude of options, which include robotics, deep learning, etc.
4. MIT Professional Certificate Program in Automatic Learning and Artificial Intelligence
Level: Advanced (requires at least 3 years of professional experience in a technical discipline)
Duration: Max. 3 years after the qualification course
Cost: The application rate is $ 325. Once you are registered in the program, you will have to pay for each course separately while taking them.
General description of the course:
This is a program in person at MIT and equips it with advanced skills in automatic learning and AI. The program is equally relevant to students who wish to sharpen their fundamental skills and advanced students, since the program requires taking a mandatory course first and then advanced courses to complete the program. You must take 16 qualification courses to obtain the certificate.
Covered skills:
- Big Data
- Text processing
- Predictive modeling
5. Artificial intelligence of UC Berkeley: commercial strategies and applications
Level: Advanced
Duration: 2 months (4-6 hours per week)
Cost: $ 2625
General description of the course:
The course focuses on building and developing ideas for AI strategy from a commercial perspective. The course deepens the AI applications in various aspects of the business, including supply chain, automation, customer experience and many more. At the end of the course, he would have created a project focused on implementing a project of the entire organization. The course covers: natural language processing, robotics, computer vision, neural networks, etc.
Covered skills:
- Artificial intelligence and its applications
- Organize and manage successful projects of artificial intelligence applications
- Take advantage of the generative AI models and prediction simulations
6. Andrew NG deep learning specialization
Level: Intermediate (requires python programming experience, loop comprehension, data structures and basic linear algebra and ML)
Duration: 3 months (10 hours a week)
Cost: Free
General description of the course:
The fundamental course of 5 dishes prepares it to develop AI technology. You will get an understanding of deep learning through the construction and training of neural networks using tools such as tensorflow and hugging the face. At the end of the course, it would build a convolutional neuronal network.
Covered skills:
- Convolutional neuronal networks
- LSTMS
- Recurrent neural networks
- Transformers
- Strategies to improve neural networks, such as abandonment, lots, initialization of Xavier m /he
- Tensioner flow
7. Introduction to tensioner flow for artificial intelligence, automatic learning and deep learning
Level: Intermediate (requires experience in python coding)
Duration: 22 hours
Cost: Free
General description of the course:
The course focuses on allowing students to use tensorflow inside and out. You will learn to build, train and optimize a neuronal network using tensorflow.
Covered skills:
- Tensioner flow
- Neural networks
- Build, train and improve the neuronal network
8. Artiba artificial intelligence engineer
Level: Intermediate (requires programming skills)
Duration: 180 days from the registration day for the exam.
Cost: $ 550
General description of the course:
Integral certification validates its necessary knowledge and skills to initiate a career in the development of AI. The course will help you develop experience in AI and ML methodologies. You will learn the essentials of AI & ML, natural language processing, neuronal networks and deep learning. By the time you complete the course, you will have the confidence to think, build, train and execute automatic learning models.
Covered skills:
- Supervised learning
- Not supervised learning
- Set learning
- Heuristic search techniques
- Building games with AI
- Probabilistic reasoning for sequential data
- Detection and monitoring of objections
9. Introduction of Google Cloud to the generative AI
Level: Entry level
Duration: 1 hour
Cost: Free
General description of the course:
Google’s introductory course explains what generative AI is and how it differs from traditional automatic learning models. You will learn to develop your own GEN AI application using Google tools.
Covered skills:
- What is the generative AI?
- Generative AI models
- Build generative applications of AI
10. Certificate of artificial intelligence (CaisTM) By the United States Artificial Intelligence Institute
Level: Advance
Duration: 4-25 weeks (8-10 hours per week)
Cost: $ 894
General description of the course:
The certification validates the ability of a professional and business leader of the senior to create strategies and solutions of AI to transform the business. In addition to mastering the essential elements of AI, you will learn strategic growth and product management. The course also includes lessons on generative, engineering and computer vision management.
Covered skills:
- The essentials of AI and automatic learning
- Deep learning and generative
- Strategic growth and product management
- Generative
- Computer vision
- Deep learning
Conclusion
Artificial intelligence is changing the face of each industry with its applications. Professional AI certifications can equip it with the necessary skills to adapt and prosper in the changing panorama. Whether you need to improve or embark on a completely new professional career in artificial intelligence, certifications can help you. Then, record today for certification.
Related: How to become a business intelligence analyst: 5 key skills to dominate
Related: What is life cycle marketing and why is it important for a business?
#main #certifications #accelerate #career
