AI jobs are here to stay! AI-related abilities are increasingly being hired by IT and tech organisations. More AI/ML engineers are being hired by businesses now than ever before.
Businesses are searching for individuals with AI-related talents as they place a greater emphasis on digital transformation. There is an increase in positions such as Chief AI Officer (CAIO), AI trainer, NLP engineer, and AI business strategist. Not to mention the high compensation that businesses offer to entice the best candidates for these positions. The average pay for an AI/ML engineer in the United States is $156,691, according to Glassdoor.
Furthermore, AI is a very dynamic field, and success depends on being up to date with emerging technology. To advance in your job, regardless of experience level, it is crucial to keep learning new things. The AI industry is no exception.
The AI certifications that can help you develop a solid skill set and succeed in your AI career will be discussed in this post.
Best AI certifications to move forward in your career
AI certificates are widely accessible both online and offline. However, which do you think is the best? It can take some time to find one that fits your goals, budget, and skill level. So, we’ve saved you the trouble. To help you start your next learning objective, we’ve included a selection of some of the most well-liked AI certificates below.
The certificates listed below can assist you whether you’re a newbie hoping to learn the ropes and break into the field, want to improve your skills, or want to move into a completely other AI profession.
1. IBM AI Developer Professional Certificate by Coursera
Level: Entry-level (both people with technical and non-technical backgrounds can take the course)
Duration: 10-course series (6 months, 4 hours a week)
Cost: Free
Course overview:
The foundations of applied AI, such as machine learning, deep learning, and neural networks, are covered in the certification. In addition to teaching you the basics, the course gives you practical experience utilising IBM Watson AI services and APIs to create AI applications like chatbots and virtual assistants. Python is also covered in the course. Working on actual projects will give you advanced skills like computer vision and machine learning.
Skills covered:
- Python (for both data science and AI)
- Using IBM Watson and its APIs to build AI applications
- Building Chatbots
- Introduction to computer vision and its applications
2. UPenn’s Artificial Intelligence and Machine Learning Essentials with Python Specialization by Coursera
Level: Intermediate (Experience with Python programming is required)
Duration: 4 months (8 hours a week)
Cost: Free
Course overview:
A thorough introduction to AI and machine learning is provided via UPenn’s intermediate course. The course provides a solid basis for students to launch their careers in artificial intelligence, starting with the history of the field and training a deep learning model.
Skills covered:
- Python
- Probability and statistics
- Search algorithms – A *search, depth-first search, breadth-first search, and more
- Deep learning models – perceptron, neural networks, backpropagation
3. Artificial Intelligence Graduate Certificate by Stanford University of Engineering
Level: Intermediate (programming skills are required)
Duration: 20 course series (instructor-led course)
Cost: $19,682 – $ 24,224
Course overview:
The curriculum has two required courses and eighteen elective courses, for a total of twenty courses. You can choose from any three of the 18 elective courses and must finish one of the two required courses. To proceed and successfully obtain the certification, you must have a GPA of 3.0 or higher in each subject.
Skills covered:
- Under required courses, you will learn:
- Supervised and unsupervised learning
- Learning theory
- Reinforcement learning and control
Under elective courses, you have a multitude of choices, including robotics, deep learning, etc.
4. MIT’s Professional Certificate Program in Machine Learning & Artificial Intelligence
Level: Advanced (Requires at least 3 years of professional experience in a technical discipline)
Duration: Max. 3 years after the qualifying course
Cost: Application fee is $325. Once you’re enrolled in the program you will have to pay for each course separately as you take them.
Course overview:
This MIT in-person program gives you advanced machine learning and artificial intelligence abilities. Because the program requires completing a required course first, followed by more advanced courses to finish, it is equally applicable for learners who wish to hone their foundational abilities and advanced learners. To obtain the certificate, you must complete 16 required courses.
Skills covered:
- Big Data
- Text processing
- Predictive modeling
5. UC Berkeley’s Artificial Intelligence: Business Strategies and Applications
Level: Advanced
Duration: 2 months (4-6 hours per week)
Cost: $2625
Course overview:
The training focusses on creating and refining business-oriented insights for AI strategy. The course explores the use of AI in a variety of business domains, such as supply chain management, automation, customer experience personalisation, and many more. You would have developed a project by the conclusion of the course that focused on putting an organization-wide AI project into action. Neural networks, computer vision, robotics, and natural language processing are among the topics covered in the course.
Skills covered:
- Artificial intelligence and its applications
- Organize and manage successful artificial intelligence application projects
- Leverage generative AI models and simulations for prediction
6. Deep Learning Specialization by Andrew Ng
Level: Intermediate (Requires experience in Python programming, understanding of for loop, data structures, and basic understanding of linear algebra and ML)
Duration: 3 months (10 hours a week)
Cost: Free
Course overview:
The foundational course, which consists of five courses, trains you to create AI technologies. By creating and training neural networks with programs like TensorFlow and Hugging Face, you will learn about deep learning. You would construct a convolutional neural network by the end of the course.
Skills covered:
- Convolutional Neural Networks
- LSTMs
- Recurrent Neural Networks
- Transformers
- Strategies to improve neural network architectures such as Dropout, BatchNorm, Xavier m /He initialization
- TensorFlow
7. Introduction to TensorFlow for Artificial Intelligence, Machine Learning and Deep Learning
Level: Intermediate (Requires experience in Python coding)
Duration: 22 hours
Cost: Free
Course overview:
Enabling students to use TensorFlow extensively is the main goal of the course. TensorFlow will teach you how to create, train, and optimise a neural network.
Skills covered:
- TensorFlow
- Neural networks
- Building, training, and improving the neural network
8. Artificial Intelligence Engineer by ARTiBA
Level: Intermediate (Requires programming skills)
Duration: 180 days from the day of registration for the exam.
Cost: $550
Course overview:
The thorough certification attests to your proficiency in the information and abilities needed to launch a career in AI development. You will gain proficiency in AI and ML techniques from the training. The fundamentals of deep learning, neural networks, natural language processing, and artificial intelligence and machine learning will be covered. You will be confident enough to design, develop, train, and operate machine learning models by the end of the course.
Skills covered:
- Supervised learning
- Unsupervised learning
- Ensemble learning
- Heuristic search techniques
- Building games with AI
- Probabilistic reasoning for sequential data
- Objection detection and tracking
9. Google Cloud’s Introduction to Generative AI
Level: Entry Level
Duration: 1 hour
Cost: Free
Course overview:
Google’s introductory course defines generative artificial intelligence (AI) and outlines its distinctions from conventional machine learning models. You will discover how to use Google resources to create your own Gen AI application.
Skills covered:
- What is Generative AI?
- Generative AI models
- Building Generative AI applications
10. Certified Artificial Intelligence Scientist (CAISTM) by the United States Institute of Artificial Intelligence
Level: Advance
Duration: 4-25 weeks (8-10 hours per week)
Cost: $894
Course overview:
The accreditation attests to a company leader’s and senior AI professional’s capacity to develop AI strategies and solutions that revolutionise the industry. You will learn product management and strategic growth in addition to the fundamentals of AI. Lessons on computer vision, engineering management, and generative artificial intelligence are also covered in the course.
Skills covered:
- Essentials of AI and machine learning
- Deep learning and Generative AI
- Strategic growth and product management
- Generative AI
- Computer vision
- Deep learning
Conclusion
With its applications, artificial intelligence is transforming every industry. Obtaining professional AI certificates can give you the tools you need to prosper in the ever-evolving environment. Certifications might be helpful whether you need to upskill or start a completely new artificial intelligence job path. Go ahead and sign up for your certification now.
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