Learner's Story

Program Schedule

Machine Learning Engineer Masters Program

Job Outlook

USD 8.81 Billion Growth in Machine Learning Market size by 2022 - MarketsandMarkets
119 %Annual Growth Increase in job postings for AI&ML experts

Salary Trend

Average annual salary for Machine Learning Engineer is $134,449– Indeed.com. AI&ML technology is expected to create 11.5M jobs by 2026 – the U.S. Bureau of Labor Statistics.

Top Industries

Prominent economic sectors where AI & ML is needed, include:
  • Retail
  • Finance
  • Healthcare
  • Travel and Hospitality
  • Automotive
  • IT Services

Job titles include

  • Machine Learning Engineer
  • AI Engineer
  • Data Scientist
  • Data & Analytics Manager
  • NLP Engineer
  • Data Engineer

Learning Path - Become an Alpha Geek

Master Program Certificate

Applicable for learners enrolling for entire learning path

Edureka’s Certificate Holders work at companies like :

certi-01 watermark
Your Name
Machine Learning Engineer
Python Programming Certification Course Machine Learning Certification Training using Python Graphical Models Certification Training Reinforcement Learning Natural Language Processing with Python Certification Course AI & Deep Learning with TensorFlow Python Spark Certification Training using PySpark Machine Learning Engineer Master Capstone Project
Sample ID NA
The Certificate ID can be verified at www.edureka.co/verify to check the authenticity of this certificate

Free Elective Courses along with learning path

About the Program

Edureka’s Machine Learning Engineer Masters Program has 7 LIVE Instructor-led courses spread across 28 weeks. The program makes you an expert in key technologies related to AI & ML. At the end of each LIVE course, you will be working on a real-time project to gain hands-on expertise. By the end of the program you will be ready for seasoned AI & ML job roles.

Frequently Asked Questions

Masters Program is a structured learning path recommended by leading industry experts and ensures to make you proficient in Artificial Intelligence and Machine Learning Engineering. This program is formulated by analysing the broad spectrum of its implementation in the market. This immersive program includes 7 courses: Python Programming, Machine Learning using Python, Graphical Models, Reinforcement Learning, NLP with Python, AI & Deep Learning with Tensorflow, and Python Spark using PySpark. This program will help you launch your career as Machine Learning Engineer.
Machine Learning Engineer Masters Program has been curated after thorough research and recommendations from industry experts. It will help you master concepts of Python Programming, Artificial Intelligence, Machine learning, Deep Learning, NLP, Graphical Modelling and Reinforcement Learning along with hands-on experience of tools and systems used by the Industry experts. Edureka will be by your side throughout the learning journey - We’re Ridiculously Committed.
Topics covered but not limited to will be: Python Programming, PySpark, HDFS, Spark SQL, Machine Learning Techniques and Artificial Intelligence Types, Tokenisation, Named Entity Recognition, Lemmatisation, Supervised Algorithms, Unsupervised Algorithms, Tensor Flow, Deep learning, Keras, Neural Networks, Bayesian and Markov’s Models, Inference, Decision Making, Bandit Algorithms, Bellman Equation, Policy Gradient Methods.
There are no prerequisites for enrolment to the Masters Program. However, as a goodwill gesture, Edureka offers a complimentary self-paced course in your LMS on SQL Essentials to brush up on your SQL Skills. This program is designed and developed for an aspirant planning to build a career in Machine Learning or an experienced professional working in the IT industry.
Edureka’s Master’s Program is a thoughtful compilation of Instructor-led and Self-paced courses, where-in the learners are guided by industry experts, and also allowing the learners to learn at their own pace.
Yes! You can be enrolled to multiple other Instructor - led or self Paced courses offered by Edureka. This is the advantage of learning with us - “Flexible Schedule”. You can select the batches that allows you to make the best of your learning journey without the fear of overlapping or missing classes.
The recommended duration to complete this program is 28 weeks, however it is up to the individuals to complete this program as per their own pace.
As soon as you enrol, all the 7 LIVE courses mentioned in the curriculum, along with the elective courses will be added to your account. Edureka provides its learners with immediate and lifetime access to every course, which is a part of the Masters Program.
Yes. This program will be effective only when the prescribed order is adhered.
Certificate of Completion for Masters Program shall be awarded to you once you have completed the individual Certification projects of the following courses as well as the Capstone Project:
  • Python Programming 
  • Machine Learning Certification Training using Python
  • Graphical Models
  • Reinforcement Learning
  • NLP with Python Certification
  • AI & Deep Learning with Tensorflow
  • Python Spark Certification Training using PySpark
To aid your learning journey, we have added following elective courses in the LMS:
  • Python Scripting
  • Python Statistics for Data Science
Completion of the above elective courses is not associated with Master's Program completion criteria.
Yes, we would be providing you with certificate of completion for every course that is a part of the learning pathway, once you have successfully submitted the final assessment and it has been verified by our subject matter experts.
A Capstone Project serves as a final project that consolidates all your masters program learning. This will require you to understand a business case and present a solution to solve all the problem statements mentioned in the project.
Yes, in addition to successful completion of all individual courses, you need to attempt and complete the capstone project to receive the certificate for Masters Program.