“A breakthrough in Machine Learning would be worth ten Microsofts.”
Bill Gates
Did we read that correctly? Of course, yes! Predicting the future isn’t magic! This has been made possible by Machine learning and artificial intelligence inventions that are leading the forte’ from the front. Not only that, it has altered the way we live and perceive our lives in the present and future as well.
Statista says the global market size in Machine learning is expected to touch the USD 204.30 billion mark by this year’s end. Isn’t that a staggering revelation? Becoming an integral part of this evolving industry calls for specialized AI skills to be displayed in every aspect of its operations.
AI and Machine learning professionals are among the most sought-after professionals in Artificial intelligence; they will continue to remain in demand. Let us look at what it takes to be a confident AI-ML specialist in 2024.
Pre-requisites for Learning Machine Learning:
- Statistics
- Probability
- Programming Languages
- Linear Algebra
- Calculus
Top 3 Free Machine Learning Certifications:
- Massachusetts Institute of Technology (MIT)
MIT, situated in Cambridge; offers a FREE rigorous university-level course in AI and ML that develops mathematical intuition behind ML algorithms, builds ML models from scratch with NumPy, video lectures, and free auto-graded in-browser programming exercises. This one is a free-of-cost alternative to Andrew Ng’s course as it allows targeted focus on the mathematical aspect of ML and deep learning. You must possess skills in Python, calculus, and linear algebra.
- Kaggle
Offered by the world’s largest data science community with powerful tools and resources; Kaggle offers the shortest hands-on course that allows you exposure to ML operations through hands-on coding and gives access to code straight with Scikit-learn. You can avoid this course if you are not confident in using Python and working with ML algorithms.
- Microsoft
The global tech giant offers a gentle project-based course that focuses on classical machine learning only. This offers enough skill to quickly start building and training ML models with SciKit-learn. The 12-week-long course offers skills in regression, classification, clustering, NLP, time series forecasting, and reinforcement learning.
Top 3 Paid Machine Learning Certifications:
- Stanford University- Machine Learning Course
One of the popular AI credentials is offered at Stanford University by Andrew Ng. It includes both theoretical and practical aspects of ML algorithms. Computer vision, text comprehension, database mining, robot creation, and much more are included in this courseware. Its curriculum includes the basics of ML, linear regression, support vector machines, and beyond. It is an 11-week program, with an auto-graded quiz per week.
- United States Artificial Intelligence Institute (USAII®)
USAII® is a globally trusted name in the top-rated AI and ML certification course and programs providers list. They stand a long history of proven success stories of churning out seasoned AI and machine learning professionals who are leading the global AI ML wagon with a sheer AI skill pool and credibility. They offer an array of graded AI ML credentials; that include;
- Certified AI Consultant (CAIC™)
A thriving career in AI is guaranteed with an AI consultant role on offer with CAIC™. This brings a package of skills inclusive of prospective and use cases of AI business leaders need to know, business tools, ML for business, Robotics, AI for business and society, managing diverse analytics teams, and much more. You are sure to amplify your chances of career advancement with this skill amplifier credential; ranked among the best AI and ML certifications around the world today. Packed with international accreditations, CAIC™ offers a massive career boost via self-paced or instructor-led programs perfect for future industry leaders. AI consultant, AI tech lead, AI project lead, and AI architect, are some of the top roles on offer with CAIC™ certification.
- Certified AI Scientist (CAIS™)
With optional readings offered alongside the widespread contemporary curriculum that USAII® extends to its participants for all certifications, CAIS™ is specifically designed for seasoned AI professionals looking for opportunities to lead transformation and channel AI strategy for amplified business gains. With no programming skills required mandate; CAIS™ is open for all- AI ML industry professionals or for someone who is looking for a career switch. Make an enhanced career progression with CAIS™ as you are going to be the steer of the global business landscape with future-ready AI skills at your disposal. Make yourself indispensable with the most trusted machine learning certifications across the globe.
- University of Washington- Machine Learning Specialization
This courseware includes theoretical knowledge and hands-on experience to allow an understanding of clustering algorithms, regression models, information retrieval, and more. This 3-course certificate program is open for software developers, statisticians, applied mathematicians, or data scientists looking for an ML scientist role. Programming experience is required to be on the course.
Free vs Paid: Which is better?
AI and Machine learning certifications are the guiding light for the global AI industry that enables the business landscape to grow manifold. Whether to enroll in a paid or free certification completely depends on your career growth aspirations. However, free things excite us more but do not last for the long term. The same goes for these credentials.
Earning the best machine learning certifications is the one that is paid and offers a scheduled guide to progressive learning and skill enhancement. The futuristic AI skills offered at the paid certifications are guided by industry geniuses and the curriculum is vetted by global SMEs to lend you mastery in a crisp time frame. These come with accountability and credibility that lasts a lifetime and pushes you further in your career in AI. Make an informed decision today!