Artificial Intelligence, deep learning, machine learning — whatever you’re doing if you don’t understand it — learn it. Because otherwise you’re going to be a dinosaur within 3 years.
- Mark Cuban
Indeed! The application of machine learning has literally expanded over the past few years. The breadth of machine learning can be comprehended from the fact that most industries are already performing numerous experiments to render themselves in a process that is well advanced and modern. The best application of machine learning lies in offering the present graduates and students various job options. In fact, a popular job portal Indeed associated the job of a machine learning engineer with rising demand and high salaries. Working in such a designation can help you command a salary as high as $146K annually, so more and more people are deciding to study machine learning at college.
If you find working with smart and intelligent machines interesting, then a machine learning engineer role is the perfect career option for you. Acquiring the right skills like understanding best practices to train ai image models, is the first step to making the most of the career opportunities available in this field. You can enroll in online courses that can teach you machine learning from scratch.
There are some reliable training providers whose study materials match the industry standards and offer you job-ready ML skills. Read on to find out which are the top online courses suitable for machine learning engineers.
Here goes the list!
Professional Certificate Program In AI And Machine Learning
Training Provider – Simplilearn in co-sponsorship with Purdue University and IBM
This intense online Bootcamp will help you achieve the most remarkable results and elevate your expertise in AI and machine learning. The course duration is 11 months and throughout the classes you will cover some important concepts like neural networks, reinforcement learning, statistics, natural language processing, and unstructured learning. Along with the interactive learning methodology, you will experience live sessional from international professionals, industrial projects, case studies, and laboratories.
The program features exclusive hackathons and Ask Me Anything sessions by IBM experts, 25 industry projects and 3 capstone projects, masterclasses by Purdue faculty and IBM trainers, Professional Certificate Program certificate and Alumni Association membership, and Simplilearn’s JobAssist program that will help you grab the attention of potential employers.
Machine Learning Specialization
Training Provider – DeepLearning.AI and Stanford Online on Coursera
This beginner-friendly program is your one-stop solution to grasping the fundamentals of machine learning and how to use this technology to build real-world AI applications. The major attraction of this program is its instructor, Andrew Ng – an AI visionary who is known to have led critical research at Stanford University and disruptive work at Google Brain, landing.AI and Baidu to advance the AI field.
This 3-months program will teach you how to build ML models in Python using popular libraries like Scikit-learn and NumPy and how to train supervised machine learning models for prediction and binary classification tasks like linear and logistic regression. Only basic coding and high school-level math are necessary to get started with this course, other concepts are explained thereafter. The specialization also includes a hands-on project that needs to be completed to achieve the certification.
Artificial Intelligence Professional Program
Training Provider – Stanford Online (Standford School of Engineering)
Designed specifically for working professionals, this training program offers rigorous coverage of modern AI techniques like natural language processing, machine learning, and reinforcement learning. It will make you capable of debugging your code, building your own ML models without the limitations of off-the-shelf solutions, and inventing new tools, algorithms, and models.
These are the courses covered as part of the professional program:
- Artificial Intelligence: principles and techniques
- Natural language processing with deep learning
- Natural language understanding
- Machine Learning
- Reinforcement Learning
- Machine Learning with Graphs
The pace of the course is set by the instructor and you will work on scheduled assignments to apply what you have learned in the theoretical classes and receive direct feedback from the course facilitators.
Machine Learning Bootcamp: Deploy Algorithms and Build a Portfolio in 6 months.
Training Provider – Springboard
This 6-months online program is designed by Springboard in partnership with the University of California San Diego Extension. Apart from covering important machine learning and deep learning concepts, the program emphasizes production engineering skills to demonstrate that you have gained job-ready skills. Some of the important topics you will become familiar with are cleaning and transforming data, anomaly detection, linear and logistic regression, designing an ML system, building a prototype and deploying a running application that can be accessed through API or web service.
Before enrolling in this comprehensive program, you must have a prior understanding of software engineering and data science. The advanced knowledge of statistics, linear algebra, calculus, and Python programming is also beneficial to better understanding the concepts covered in this course.
With all these interesting options at hand, kick-start your machine learning journey and pave your way towards a promising career ahead. Machine learning skills are in high demand in this digital world, and gaining expertise in this field can help you land your dream job and command high paychecks. A machine learning course completion certificate would further increase your credibility and improve your salary prospects.