|Course or Certification Name||Category||Location||Mode of learning|
|Big Data Engineering Training Course||Big Data||Online self study|
|Vskills Certified Engineering Design Professional||Engineering Design||Online self study|
|Big Data Engineering Perspectives||Big Data||Online self study|
|Piping Engineering||Engineering Design||Classroom|
|Post graduate Diploma in Financial Engineering and Risk Management||Executive Program in Business Analytics & Data Science||Classroom|
|Machine Learning Engineer||Machine Learning||Online self study|
|AWS Certified DevOps Engineer Training||DevOps||Noida , Delhi , Gurgaon , Chandigarh , Bangalore , Hyderabad , Chennai , Ernakulam||Online Classroom|
|Engineering Project Management Specialization||Online self study|
|Financial Engineering and Risk Management Part II||Credit & Financial Risk||Online self study|
|Become a Data Engineer||Noida , Delhi , Gurgaon , Chandigarh , Bangalore , Hyderabad , Chennai , Ernakulam||Online Classroom|
|MSc Financial Engineering||Online self study|
|Training Diploma in Mechanical Engineering||Engineering Design||Classroom|
|DevOps Engineer Masters Program||DevOps||Noida , Delhi , Gurgaon , Chandigarh , Bangalore , Hyderabad , Chennai , Ernakulam||Online Classroom|
|Post Graduate Program in Data Science and Engineering (Full-Time)||Data Science||Classroom|
|Become a Machine Learning Engineer||Machine Learning||Online self study|
Big data, in simple terms, refer to the huge amount of data set that cannot be usually analysed using traditional methods. Big data is a growing field and many businesses are adopting it to improve their business functions; leading to a spurt in the demand for expert professionals in the field. | Big Data Engineering course is aimed at providing the best-in-the-industry training to the candidates who are looking to get success in big data field | The course has quality online learning modules which have been developed by subject matter experts | Providing the necessary skills, the course has a comprehensive coverage of all important topics related to big data engineering
Engineering Design is the process of devising a system, component, or process to meet desired needs. The course, Engineering Design, is specially made to teach the decision making process (often iterative) in which the basic sciences, mathematics, and engineering sciences are applied to convert resources optimally to meet a stated objective. The course is very beneficial for engineering and management professionals or students pursuing post graduation studies. | The certification tests the candidates on various areas in product planning, product specifications, prototyping, design for quality and reliability.
Big data is a term for data sets so large that traditional data processing applications can not be used to perform any sort of analysis. It is often semi structured or unstructured in form. There are a number of unique challenges that arise when companies begin to use big data. The least of which are the engineering concerns. This course will introduce some of those engineering challenges and describe how some companies have come up with solutions.
Piping Engineering course is one-of-a-kind. This course is structured to raise the level of expertise in piping design and to improve the competitiveness in the global markets. This course provides various piping system designs, development skills and knowledge of current trends of plant layout. The students are given case studies to develop their professional approach
Post Graduate Diploma in Financial Engineering and Risk Management (PGDFERM) is a specific programme by National Institute of Securities Markets (NISM). The programme aims to equip the participants with skills in treasury and risk management functions. The course is a combination of basic and advanced theory and practical, and a combination of mathematics, statistics, financial economics, computational finance financial modelling and risk management. | The course will be offered in two different Formats - | Format A: Weekend programme at Vashi. | Format B: Residential programme at Vashi.
As more and more companies are looking to build machine learning products, there is a growing demand for engineers who are able to deploy machine learning models to global audiences. In this program, you’ll learn how to create an end-to-end machine learning product. You’ll deploy machine learning models to a production environment, such as a web application, and evaluate and update that model according to performance metrics. This program is designed to give you the advanced skills you need to become a machine learning engineer.
The AWS Certified DevOps Engineer – Professional exam validates technical expertise in provisioning, operating and managing distributed application systems on the AWS platform. Edureka's AWS Certified DevOps Engineer training has been designed to help an individual in developing advanced technical skills on CodeCommit, Codepipeline, CloudFormation, OpsWorks, Beanstalk and many more, needed to successfully attempt the AWS Certified DevOps Engineer – Professional examination. With this AWS professional certification under your belt, you will join an elite club of AWS Certified DevOps Engineer Professionals who are in high demand by employers worldwide.
Today’s professional environment is highly competitive, continuously changing, and difficult to manage. Employees rarely reach positions of leadership without managing one or more projects or a project segment early in their career. The goal of this Specialization is to give you the tools to more effectively and successfully manage projects; to give you a solid foundation of knowledge,skills, and confidence that sets you apart and gives you a competitive edge as you move toward leadership positions.This Project Management for Engineering Professionals Specialization is designed as an introduction to Project Management. It is targeted for engineers who are interested in improving their project management skills in a new leadership position or in advance of their first leadership position. As part of the Specialization, you will prepare key Project Execution Plan documents based on available templates.
Financial Engineering is a multidisciplinary field involving finance and economics, mathematics, statistics, engineering and computational methods. The emphasis of FE & RM Part II will be on the use of simple stochastic models to (i) solve portfolio optimization problems (ii) price derivative securities in various asset classes including equities and credit and (iii) consider some advanced applications of financial engineering including algorithmic trading and the pricing of real options. We will also consider the role that financial engineering played during the financial crisis.
Data Engineering is the foundation for the new world of Big Data. Enroll now to build production-ready data infrastructure, an essential skill for advancing your data career. | At the end of the program, you’ll combine your new skills by completing a capstone project.
The program is designed for students with 1-2 years of experience as well as fresh graduates in Math, Statistics, Engineering, Technology, Business, Economics, Finance, Computer Science etc | The program provides students with a broad-based education in high technology finance, combining the technical and conceptual advances in Computer Science, Mathematics and Finance | Program integrates Quantitative and Qualitative Finance for practical use of advanced financial techniques in the industry prepares participants to meet the challenges and rigors of the new marketplace | The program is offered in collaboration with Carnegie Mellon University, USA | Prominent Recruiters from past batches - Singapore Exchange, PwC, Ernst & Young, Deutsch Bank, JP Morgan, Asian Development Bank, Goldman Sachs, Calyon Corporate and Investment Bank, Algorithmics and many more
This Masters Program makes you proficient in DevOps principles like CI/CD, Continuous Monitoring and Continuous Delivery, using tools like Puppet, Nagios, Chef, Docker, Git & Jenkins. It includes training on Linux, Python, Docker, AWS DevOps Certification Training and Splunk. The curriculum has been determined by extensive research on 5000+ job descriptions across the globe.
Great Lakes' PGP-DSE (Full-Time) is a 5-month full-time program for fresh graduates and early career professionals looking to build their career in data science & analytics. With the large number of job openings in analytics and data science, PGP-DSE equips you with the right skills and knowledge needed to break into these roles.
Learn advanced machine learning techniques and algorithms and how to package and deploy your models to a production environment. Gain practical experience using Amazon SageMaker to deploy trained models to a web application and evaluate the performance of your models. A/B test models and learn how to update the models as you gather more data, an important skill in industry. | This program is intended for students who already have knowledge of machine learning algorithms.