Acquire the tools and knowledge necessary to become a machine learning engineer with the Machine Learning Career Track course by Springboard.
Machine learning is a field of study which comes under Artificial Intelligence. Machine learning is the study of algorithms that allows software applications to be able to more accurately predict the outcome without being explicitly programmed to do the task. It basically keeps track of data that has been used before and uses it to formulate a pattern and follows that pattern to make predictions.
With this Machine Learning Career Track certification course by Springboard, the students will get the opportunity to learn and finesse the skills that are necessary in order to become successful Machine Learning engineers.
The course will help the students master the basics of data science. During this course, the student also gets to complete 14 real-life projects (including two capstone projects) which will help them display their skills and techniques to prospective employers. Enrollment in this Machine Learning Career Track training course also means that the students will get career coaching and mentorship from industry experts which will increase the chances of them being hired for jobs.
Yes
Springboard
This course will prove to be the most beneficial for:
Work Experience
The candidates should have more than 2 years of work experience in order to apply for this programme.
Education
To be eligible to undertake this course, the candidate needs to have completed a Bachelor’s degree in engineering.
Certification Qualifying Details
The selected candidates for the course will be awarded a Machine Learning Career Track certification by Springboard after successfully finishing the course along with all assignments and projects which need to be completed.
After completing this Machine Learning Career Track certification syllabus, the students will have the following abilities:
Getting Started
Introduction to ML & MLE
Preparing Data Transformation
Creating Your Job Search Strategy
Data Processing For ML
Automating Data Transformation
Your Elevator Pitch
ML As A Service
Effective Networking: Expanding Your Network
Foundations of Machine Learning
Regression Analysis
Classification
Trees + Boosting
Deep Learning
Resumes and Cover Letters
Anomaly Detection
Recommendation Systems
Time Series Analysis
Informational Interviews
Unleash The Power Of ML
ML In Production
Revisit Career Strategies
Tools For Advanced ML Deployment
Advanced ML Production
Preparing For And Getting Interviews
ML Means Business
Beyond ML
Effective Interviewing For Machine Learning Engineers
Salary Negotiation
Advanced Deep Learning
Natural Language Processing
Image Processing & Computer Vision Tutorial
Image Processing Tutorial
Congratulations & Next Steps After Course Completion
If the student wishes to enroll in the Machine Learning Career Track course by Springboard, these are the steps they should follow to do so:
The candidates can still apply and these are the steps they should follow.
Step 1: First, the student should visit the homepage of the course by clicking on the link given below:
https://careerbootcamps.umgc.edu/programs/machine-learning-ai/
Step 2: The students then need to fill in their information after clicking on the “Start application” button.
Step 3: The team will contact the students if they seem to be a right fit. They will be sent a challenge to test their skills in statistics and programming.
Step 4: If the student passes the challenge, the team will forward them a registration link. The student will need to pay a registration fee to confirm their spot in the course cohort. Congratulations, you are now a part of the course.
After applying for the course, if the student’s application gets accepted, they will be sent a test based on statistics and basic programming which they will need to pass.
Artificial Intelligence is the road to development and the future. It is one of the most in-demand and prosperous industries. Machine learning is an integral sector of artificial intelligence. Machine learning is very needed by companies since it requires no human intervention.
This means they can cut down on production costs and still produce highly accurate and quality results. With this course, the candidates will learn all the important techniques and concepts that they will need to become successful machine learning engineers.
The Machine Learning Career Track certification benefits shall be helping to identify patterns and trends based on the accumulated data. This is highly beneficial for companies who want to keep track of profit trends and trends of consumers and sales. Machine learning only improves with time because of its foundation. Thus, learning how to operate it will only produce better and more accurate results.
A skilled machine engineer can find work in any field. Their skills will serve the interests of a large range of applications which are highly beneficial. Their responsibilities are multi-faceted so their skillset is required by companies of all industries since the projection of sales and profits becomes a less tedious task. This course aims to train an individual to be the most efficient machine learning engineer and its conduction might indicate that they have achieved what they had hoped to.
For securing a job, the candidates will definitely need to be of age 18 years, and above.
The candidate has two choices they can take with respect to their payment plans:
The aim of the job support team is to give you the best recommendations and give you the most effective advice while looking for a job.
The course usually takes 500-600 hours to complete. The course is supposed to be for 6 months and a student can successfully complete it at their own pace if they put in 15-20 hours of work per week. If the student is finding the course easy, they can also finish before 6 months.
The course completion certificate can be presented as a verified certificate on your LinkedIn profile.
The course will be conducted entirely online.
A candidate is chosen for the course based on the initial information they provide and are further contacted if the Springboard team thinks that they are a suitable fit for the course.
After completing the course, the students get lifetime access to the course and could also get access to external resources for up to 6 months if they request the conductors of the course.
Springboard has partnered with ZestMoney to give students the facility to make their payments in a zero-interest EMI plan.
Brochure has been downloaded.
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