In 2024, deep learning trends may boost the breakthroughs due to advanced algorithms, computational resources, and big data. According to Fortune Business Insights, the global ML (machine learning) market is estimated to grow at 38.8% CAGR with a value of $209.91 billion by 2029. The deep learning market is projected to expand by USD 7.2 billion by 2020-2024 (source: Technavio).
Theoretical knowledge is not enough to get a secure and growing deep learning and ML position. You’ll need to develop and demonstrate your dedication and mastery of the latest concepts, applications, and trends. That’s where machine learning and deep learning certifications come into the picture.
- Machine Learning Specialization by Stanford University
Created in collaboration between DeepLearning.AI and Stanford University, this is one of the best ML certifications for beginners. This 3-course Specialization helps in learning ML fundamentals and using ML techniques to create real-world artificial intelligence applications.
Learners also explore data mining and recognize statistical patterns. The world-famous expert Andrew Ng is an instructor of this program. With this program, you’ll develop the practical skills of AI professionals and develop a career in ML.
Fee: Course material can be seen at no cost while acquiring a certification requires $49 per month.
Duration: 3 months (9 hours per week)
- USAII® (United States Artificial Intelligence Institute)
USAII® provides the most prestigious AI certifications with varying curricula, fee structure, and duration. The course content has been approved by more than 15 SMEs and all programs are recognized in 160+ nations.
The all-inclusive program fee can be paid in full or in 3-part installments. After successfully completing the course, you’ll earn a digital badge and a valuable certificate with 3 years validity. You need to renew your USAII® credential every 3 years by paying a nominal charge.
This starter-level program is designed for students and professionals with 0-2 years of experience. It helps develop technical skills with leading-edge practices in ML, AI, Deep Learning, and more. The course expects you to learn AI on Cloud, deep learning foundations, NLP fundamentals, etc.
Fee: US $691
Duration: 4-25 weeks (8-10 hours a week)
Want to show your expertise with advanced AI skills? Apply for CAIC™ certification requiring no programming skills and 0-6 years of experience. The curriculum is designed to meet the demands of AI consultants, AI technical leads, AI architects, and more. It will expose you to the new algorithms, techniques, architecture, tools, and frameworks used in ML and AI.
Fee: US $787
Duration: 4-25 weeks (8-10 hours per week)
Business leaders and senior artificial intelligence professionals who want to improve their organizational value with deep AI skills can attend this program ensuring they have 4-5 years of experience. It helps develop in-demand skills and advanced technological knowledge to effortlessly manage challenging projects and employ overall AI strategy for business transformation.
Fee: US $894
Duration: 4-25 weeks (8-10 hours per week)
Business leaders, C-suite professionals, and senior executives can apply for CAITL™ certification that requires no programming skills. It covers all the latest and advanced AI strategies through live masterclasses, eLearning materials, and study books. You can avail of exclusive offers for group nominations of 3 and more. You will gain knowledge of practices and strategic approaches of AI adoption and transformation, and implementation of Robotics, Deep Learning, ML, AI Security, and lots more.
Fee: US $2,149
Duration: 8-14 weeks (8-10 hours a week)
- Professional Certificate in Deep Learning by IBM
This self-paced program has 5 graduate-level courses that end with a Capstone project where you’ll use either PyTorch or Keras to build, train, and test deep-learning models. With this program, you will learn the basic concepts and applications of deep learning, the use of deep learning libraries, and more. It helps master AI skills to become the best AI practitioners and begin a growing career in applied deep learning.
Fee: $584.00
Duration: 31 weeks (2-4 hours a week)
- Google Professional Machine Learning Engineer Certification
This is one of the best machine learning certifications for professional ML engineers. Earning this certification will show your proficiency in designing, creating, and producing ML models via Google Cloud and industry-proven tactics. The exam evaluates your ability to architect ML solutions, frame ML issues, design data preparation, and processing systems, build ML models, automate ML pipelines, and more.
Exam Fee: $200 (plus tax)
Duration: 3 months (10 hours a week)
- eCornell Machine Learning Certificate from Cornell University
This instructor-led online certification program has 7 courses that emphasize implementing ML algorithms and applications. The course uses Jupyter Notebooks, NumPy, and Python libraries for code exercises and projects. With any of its machine learning courses, you will earn an ML certificate from Cornell Bowers College of Computing and Information Science and 126 Professional Development hours.
Fee: $3,600 enrollment cost or $565 monthly
Duration: 3.5 months (6-9 hours per week)
Conclusion
Approximately 100% of enterprises will use AI by 2025 (source: Forrester). Machine Learning and Deep Learning are buzzwords in the AI sector. ML uses statistical and numerical approaches to program learning into mathematical models. Deep learning is the cutting-edge field of ML, which is based on deep neural networks. The field of ML and deep learning is constantly progressing.
To stay ahead, master your skills with the best AI certifications. Choose the right program after evaluating the course content, duration, fee structure, outcome, prerequisites, refund policies, and certification validity and renewal.