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Python, Statistics, Data Preparation, Machine Learning, Natural Language Processing, Deep Learning, ChatGPT, Reinforcement Learning, Sequence Learning, Image Processing, Computer Vision, Spark MLlib, Data Visualization and many more skills.View Curriculum
Our Masters Course Alumni work for amazing companies
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.
The Python Statistics for Data Science course is designed to provide learners with a comprehensive understanding of how to perform statistical analysis and make data-driven decisions. Through a series of interactive lessons and hands-on exercises, you will learn how to conduct hypothesis testing, perform regression analysis, and many more. This course is ideal for anyone looking to enhance their data science skills and gain a deeper understanding of statistics. This course will provide you with the knowledge you need to succeed in the rapidly growing field of data science.
Edureka’s Python Training Course online is created by experienced professionals to match the current industry requirements and demands. This Python Course will help you master Python programming concepts such as Sequences and File Operations, Conditional statements, Functions, Loops, OOPs, Modules and Handling Exceptions, various libraries such as NumPy, Pandas, Matplotlib, and also focuses on GUI Programming, Web Maps, Data Operations in python and more. Throughout this Python Course online, you will be working on real-time projects and this Python Course prepares you to clear PCEP, PCAP and PCPP Python Certification Professional Exams to become a certified developer.
Edureka's Data Science with Python Certification Course is accredited by NASSCOM, aligns with industry standards, and is approved by the Government of India. This course will help you master important Python concepts such as data operations, file operations, and various Python libraries such as Pandas, Numpy, Matplotlib which are essential for Data Science. This course is well-suited for professionals and beginners. This Python for Data Science certification training will also help you understand Machine Learning, Recommendation Systems, and many more Data Science concepts to help you get started with your Data Science and Machine Learning career.
Edureka’s Advanced Artificial Intelligence Course helps you master essentials of text processing and classifying texts along with important concepts such as Tokenization, Stemming, Lemmatization, POS tagging and many more. You will learn to perform image pre-processing, image classification, transfer learning, object detection, computer vision and also be able implement popular algorithms like CNN, RCNN, RNN, LSTM, RBM using the latest TensorFlow 2.0 package in Python. This course is curated by the industry experts after an extensive research to meet the latest industry requirements and demands. Unleash the power of Artificial Intelligence and accelerate your career— join the global revolution now!
Advance your AI knowledge and expertise with Edureka’s comprehensive ChatGPT certification training program. This comprehensive training covers the fundamentals of ChatGPT and its business use cases, as well as designing web applications, and integrating ChatGPT into your business workflows. You'll also learn about GPT models, pre-processing, fine-tuning, and working with OpenAI and the ChatGPT API and also get a sneak peek into the future with GPT-4 and ChatGPT Plus. Don't miss out on this opportunity to upskill and stand out in the digital marketplace!
Edureka’s PySpark certification training is curated by top industry experts to help you master skills that are required to become a successful Spark developer using Python. This PySpark training will help you to master Apache Spark and the Spark ecosystem, which includes Spark RDDs, Spark SQL, Spark Streaming and Spark MLlib along with the integration of Spark with other tools such as Kafka and Flume. Our PySpark online course is live, instructor-led & helps you master key PySpark concepts with hands-on demonstrations. This PySpark training is fully immersive, where you can learn and interact with the instructor and your peers. Enroll now with this course to learn from top-rated instructors.
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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12 million Career Opportunities estimated for experienced Machine Learning Engineers in the IT industry across the globe.
Salary Trend The average salary for a Machine Learning Engineer is $136,047 per year.
22.00% Annual Growth in job opportunities for Machine Learning Engineers by 2023, worldwide.
A Machine Learning Engineer is a professional who designs, develops, and maintains machine learning (ML) systems and applications. Machine learning engineers have a strong background in computer science, mathematics, and statistics and possess the technical skills needed to develop and deploy ML models.
Their primary responsibility is to build and deploy machine learning models that can learn from and make predictions on large datasets. They work with data scientists, software engineers, and other professionals to develop end-to-end ML systems that can be integrated into applications and workflows. This may involve selecting the appropriate algorithms, fine-tuning models, and deploying them in a production environment.
Machine Learning Engineers also have to keep up with the latest developments in ML and AI technologies, research and experiment with new algorithms and techniques, and continuously optimize and improve their ML models to achieve better performance.
There are several reasons why someone may choose to become a machine learning engineer:
Some of the top courses are
The roles and responsibilities of machine learning engineers may vary depending on the organization, but some common tasks and responsibilities include:
A certificate of completion for the AI and Machine Learning Masters Course shall be awarded to you once you have completed the following courses:
To aid your learning journey, we have added the following elective courses in the LMS:
Completion of the above elective courses is not associated with Master's Program completion criteria.
Yes, Machine Learning is a very promising and rapidly growing career field with tremendous opportunities for growth and advancement. The demand for Machine Learning professionals is continuously increasing as more and more organizations are leveraging the power of ML to gain insights from their data and make data-driven decisions.
According to various job portals and career websites, Machine Learning is one of the top career fields in the current job market, with high-paying salaries, good job security, and exciting job roles. The field of Machine Learning is also constantly evolving and offers many exciting opportunities to work with cutting-edge technologies and solve complex real-world problems.
Overall, if you have a passion for data science, statistics, and programming, and enjoy solving complex problems, then Machine Learning can be an excellent career choice for you.
The Machine Learning Engineer training course is for those who want to fast-track their AI and Machine Learning career. This AI and Machine Learning Masters Course will benefit the people working in the following roles: