|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|
|Financial Engineering and Risk Management Part II||Credit & Financial Risk||Online self study|
|Training Diploma in Mechanical Engineering||Engineering Design||Classroom|
|Post Graduate Program in Data Science and Engineering (Full-Time)||Data Science||Classroom|
|Become a Machine Learning Engineer||Machine Learning||Online self study|
|Software Engineer Master Program||Emerging Web Technologies||Noida , Delhi , Gurgaon , Chandigarh , Bangalore , Hyderabad , Chennai , Ernakulam||Online Classroom|
|Automation Testing Engineer Masters Program||Selenium||Noida , Delhi , Gurgaon , Chandigarh , Bangalore , Hyderabad , Chennai , Ernakulam||Online Classroom|
|Big Data - Post Graduate Program in Data Engineering Course||Big Data||Noida , Delhi , Gurgaon , Chandigarh , Bangalore , Hyderabad , Chennai , Ernakulam||Online Classroom|
|Become a Robotics Software Engineer||Trending Software Testing Tools||Noida , Delhi , Gurgaon , Chandigarh , Bangalore , Hyderabad , Chennai , Ernakulam||Online Classroom|
|CompTIA Cybersecurity Analyst (CSA+)||Cyber Security||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.
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.
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.
Simplilearn's Software Engineer Master’s Program will help you master skills like Java, Python, Amazon Web Services, Agile Scrum Foundations and DevOps tools like Git, Docker, Spring, Hibernate, MySQL, MongoDB, TypeScript, Angular. The course is packed with hands-on code analysis and real-world projects to help you prepare for the role of a Software Engineer. | The program provides access to high-quality eLearning content, simulation exams, and other resources that ensure you follow the optimal path to your dream role of Software Engineer.
Simplilearn’s Automation Testing Master’s Program will set you on the course to becoming an expert automation test engineer with a focus on software development and quality assurance. You’ll receive core Java certification training, learn to automate web applications that are integrated with DevOps processes, use the popular testing technologies and utilize containers on the Docker platform. | The Automation Testing Master’s Program is designed to give you complete knowledge of software testing technologies such as Selenium Web Driver, TestNG, Maven, AutoIT, Selenium Grid, Appium, and Docker. With this automation testing course, you will become adept in test automation and successfully employ the technical knowledge you learn to build a robust testing framework using Page Object Design Pattern and Data-Driven Approach. The Automation Testing training program kicks off with a detailed overview of Core Java 8 concepts and trains you on automating web applications in Selenium 3.0. You will also receive instruction on Docker to run your tests efficiently across various platforms and achieve parallelism in your testing environment and production with our Automation Testing training course
Evolved and designed by veterans in the Analytics industry, this program prepares students and working professionals to start or improve upon a career in the growing Data and Analytics domain. A perfect blend of technology, Data science and business cases and insights, the program stands out as among the best in the world. | This is a career oriented program that covers all the key aspects of Data Engineering. A great feature is the flexibility in the program to assimilate and incorporate technology updates into the modules, on the fly. This program also comes with the benefit of Placement support from 361 Degree Minds though you would not have the need since opportunities galore when you do this program. | We follow world class adult and remote learning methodologies. This ensures that the learning outcome of the program meets individual aspirations as well as market / industry expectations. | This program also equips you with a thorough knowledge on various Big Data Technologies including Hadoop, R, Python, Spark, RDBMS tools and a wide range of Access tools.
Begin your exploration into the world of robotics software engineering with a practical, system-focused approach to programming robots using the ROS framework and C++. In addition, learn and apply robotics software engineering algorithms such as localization, mapping, and navigation.
CompTIA Cybersecurity Analyst (CSA+) is an international, vendor-neutral cybersecurity certification offered by a non-profit trade association, The Computing Technology Industry Association. This CompTIA CSA+ course will provide the requisite training to the candidates to have critical knowledge and skills that are required to prevent, detect and combat cybersecurity threats | Candidates get a boost to their career by gaining expertise in securing and analysing IT assets at the hardware and software levels | The course covers various topics like network architecture, threat identification, threat mitigation, monitoring security issues, and other related areas