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Machine Learning Engineer Masters Program

9 Courses View all
200+ Hours of Interactive Learning
Capstone Project
The capstone project will provide you with a business case. You will need to solve this by applying all the skills you’ve learned in the courses of the master’s program.
Edureka’s Machine Learning Engineer Masters Program makes you proficient in techniques like Supervised Learning, Unsupervised Learning and Natural Language Processing. It includes training on the latest advancements and technical approaches in Artificial Intelligence & Machine Learning such as Deep Learning, Graphical Models and Reinforcement Learning.
Avg. salary earned by Machine Learning Engineer is around $114,826 per annum.

It’s time to change your career story

You Will Learn

Programming & Scripting, Data Handling, Sampling Techniques, Regression Modelling, Machine Learning Techniques, AI Types, Tokenization, Stemming, Named Entity Recognition, Statistics & 13 More Skills.

View Curriculum
Our Alumni

Our Masters Course Alumni work for amazing companies

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I gained confidence to make a career leap to Data Science after this course

I had a wonderful learning experience with Edureka. Not only did I get exposed to Data Science, but I was also able to learn related technologies that helped me in my career. The course also gave me an edge over other candidates when I was looking for a job change and helped me ace my interviews. I am now planning to shift my career to Data Science and Edureka's course has given me the knowledge and confidence to make this career leap.

Program Fees
1,499 2,901
Your total savings: 1,402
No Cost EMI Available, Starting from 167/mo.
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See Course Bundle
  • Python Programming Certification Course
    349
  • Machine Learning Certification Training using Python
    449
  • Graphical Models Certification Training
    299
  • Reinforcement Learning
    299
  • Natural Language Processing with Python Certification Course
    349
  • AI & Deep Learning with TensorFlow
    389
  • Python Spark Certification Training using PySpark
    449
+2 Free Elective Courses 318

Financing Options

Financing options available without any credit/debit card. The interest amount will be discounted from the price of the course and will be borne by Edureka. You will be charged the course price minus the interest.

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Program Syllabus
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Python Programming Certification Course
10 Modules View Curriculum
4-5 Weeks Course Suggested: 6 hours per week
Watch Recording
Skills you will be learning
  • Sequence and File Operations
  • Functions and OOPs
  • Module and Handling Exceptions
  • NumPy and Pandas
  • Data Visualisation and Manipulation
  • Indexing slicing & iterating
  • Reading & writing arrays on files
  • Pandas - data structures & index operations
  • Reading and Writing data from Excel/CSV formats into Pandas
Machine Learning Certification Training using Python
6 Modules View Curriculum
5-6 Weeks Course Suggested: 6 hours per week
Watch Recording
Skills you will be learning
  • Data Extraction, Wrangling, & Visualization
  • Dimensionality Reduction
  • PCA
  • Factor Analysis
  • Scaling dimensional model
  • LDA
  • Association Rules Mining
  • Recommendation Systems
  • Reinforcement Learning
  • Time Series Analysis
Graphical Models Certification Training
5 Modules View Curriculum
2-3 Weeks Course Suggested: 6 hours per week
Watch Recording
Skills you will be learning
  • Bayesian Network
  • Markov’s Networks
  • Exact Inference
  • Approximate Inference
  • Monte Carlo Algorithm
  • Gibb’s Sampling
  • Parameter Estimation in Bayesian Networks
  • Components of Graphical Model
  • Representation of Graphical Models
  • Inference in Graphical Models
  • Learning Graphical Models
  • Decision theory
  • Applications
Reinforcement Learning
5 Modules View Curriculum
2-3 Weeks Course Suggested: 6 hours per week
Watch Recording
Skills you will be learning
  • Adaptive Learning
  • Reinforcement Learning
  • Markov Decision Processes
  • Bandit Algorithms
  • Dynamic Programming
  • Temporal Difference Methods
  • Deep Q Learning
  • Monte Carlo Methods
  • Introduction to OpenAI Gym
Natural Language Processing with Python Certification Course
6 Modules View Curriculum
3-4 Weeks Course Suggested: 6 hours per week
Watch Recording
Skills you will be learning
  • Extracting, Cleaning and Pre-processing Text
  • Tokenization
  • Frequency Distribution
  • Different Types of Tokenizers
  • Bigrams, Trigrams & Ngrams
  • Stemming
  • Lemmatization
  • Stopwords
  • POS Tagging
  • Named Entity Recognition
  • Analyzing Sentence Structure
AI & Deep Learning with TensorFlow
10 Modules View Curriculum
5-6 Weeks Course Suggested: 6 hours per week
Watch Recording
Skills you will be learning
  • TensorFlow code-basics
  • Illustrate Perceptron
  • Training a Perceptron
  • Graph Visualization
  • Constants, Placeholders, Variables
  • Creating a Model
  • Recurrent Neural Networks (RNN)
  • Restricted Boltzmann Machine (RBM) and Autoencoders
  • Keras API
  • Convolutional Neural Networks (CNN)
Python Spark Certification Training using PySpark
12 Modules View Curriculum
6-7 Weeks Course Suggested: 6 hours per week
Watch Recording
Skills you will be learning
  • Big Data Hadoop and Spark
  • Scala for Apache Spark
  • Functional Programming and OOPs Concepts in Scala
  • Apache Spark Framework
  • Playing with Spark RDDs
  • DataFrames and Spark SQL
  • Machine Learning using Spark MLlib
  • Spark MLlib
  • Apache Kafka and Apache Flume
  • Apache Spark Streaming
WATCH DEMO VIDEO
Free Elective Courses along with learning path VIEW FREE COURSES
Self Paced

Python Scripting Certification Training

VIEW CURRICULUM
Self Paced

Python Statistics for Data Science Course

VIEW CURRICULUM
Capstone Project
Machine Learning Engineer Master Capstone Project

The objective of this project is to automatically recognize human actions based on analysis of the body landmarks from pose estimation. 

Masters Course Certification

Edureka’s Certificate Holders work at companies like :

certi-01
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
Program Features
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As per your convenience

Weekday or weekend; morning or evening. Multiple options for everyone.

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Never miss a class

You can always switch to another batch, depending upon your availability.

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Personal Learning Manager

A human, who is Ridiculously Committed to answer all your queries.

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Lifetime Access

You'll have the keys to all our presentations, quizzes, installation guides. All for a lifetime!

Job Outlook
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USD 8.81 Billion Growth in Machine Learning Market size by 2022 - MarketsandMarkets

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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.

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119 % Annual Growth Increase in job postings for AI&ML experts

    Top Industries
  • 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
FAQs
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.
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