|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|
|Internet of Things (IoT) Training Old||IOT||Noida , Delhi , Gurgaon , Chandigarh , Bangalore , Hyderabad , Chennai , Ernakulam||Online Classroom|
|Piping Engineering||Engineering Design||Classroom|
|Embedded IoT Course||Internet of Things||Online self study|
|PG Diploma In Embedded Systems and Design (PG-DESD)||Cloud Computing||Classroom|
|Post graduate Diploma in Financial Engineering and Risk Management||Executive MBA||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|
|Embedded Systems||Web Technologies||Online self study|
|Financial Engineering and Risk Management Part II||Credit & Financial Risk||Online self study|
|Advanced Diploma in Industrial Safety (Health, Safety & Environment)||Distance MBA||Noida , Delhi , Gurgaon , Chandigarh , Bangalore , Hyderabad , Chennai , Ernakulam||Online Classroom|
|DevOps Engineer Masters Program||DevOps||Noida , Delhi , Gurgaon , Chandigarh , Bangalore , Hyderabad , Chennai , Ernakulam||Online 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.
The Internet of Things (IoT) is ushering in a new era in science and technology, which will forever change our personal as well as professional lives, our consumer habits, and the way we do business. With the fast-changing world, these latest inventions and innovations will become the norm by 2020, and we estimate more than 50 billion devices will be connected via the Internet. In order to create early adopters, we have introduced a one-of-kind course on ‘Internet of Things,’ the next big thing in the IT industry.
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
Our Embedded IoT Course focuses on providing end-to-end exposure to participants. The core modules in the course includes Embedded C and Python programming, Embedded IoT interfacing such as Sensors, IoT Device Programming with Raspberry Pi boards, Network connectivity and IoT Protocols, IoT Application development on Linux and deploying the IoT Applications on scalable cloud platforms. U will also get non-functional aspects of IoT which includes what is IoT architecture, IoT security and scalability. These IoT Courses which are delivered as live classes in Bangalore, is a placement oriented training program for BE / BTech / ME / MTech graduates looking to build a career in developing IoT based projects and products.
Realizing the growth of embedded systems in day-to-day life and the need for trained manpower in this promising area, C-DAC has launched a Diploma in Embedded Systems Design (DESD) for Engineers in computers, electronics and IT. Embedded Systems is a unique field, where engineers need to have sound knowledge in hardware and software design. Keeping this aspect in view, C-DAC has designed the diploma giving equal emphasis to hardware and software, enabling engineers to face challenges in the design and development of state of the art embedded systems. The latest curriculum includes a module on wireless embedded systems design, specifically focusing on wireless technologies and Wireless Sensor Networks (WSN).
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.
In the 21st century, embedded systems are the systems of future with cellular phones, smart-phones, tablets becoming the dominant platforms for computing and communication. The ubiquity of information and the associated need for the computation that accompanies it is driving this revolution only to be accelerated by the new paradigms such as the Internet-of-Things (IoT). These platforms are clearly very different in terms of their processing requirements which are very unique: real-time needs, high performance but at low energy, compact-code and data segments, and most importantly ever changing software stack. Such unique requirements have led to a complete redesign and reinvention of the both hardware and the software stack from ground up, for example, brand new processors such as ARM, DSPs, network processors were invented all the way up to new virtual machines such as Dalvik, new operating systems such as Android and new programming models and compiler optimizations.
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.
Health and Safety Profession: Increasingly a growing career across all manufacturing and establishment. 50,000+ professionals needed by 2020 in India, Middle East, Europe | Rapid technological developments and large-scale mechanization in Petrochemical, Chemical, Engineering Industries, Construction activities, etc. have resulted in complex Health, Safety and Environmental problems in these industries. Hence these industries need the services of qualified safety professionals exclusively to take care of various Safety, Health and Environmental aspects of their personnel/other persons who are likely to be affected by any adverse effects arising from these industries.
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.
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.