5 Most Demanded Courses after class 12th - Updated 2018

04 Apr 2018

5 Most Demanded Courses after class 12th – Updated 2018

Many students now look forward to pursuing a course that would get them a job and are not too worried if it is a degree or not. Many do not even bother to check if it is approved or not.The Class XII Boards, also known as Higher Secondary, the stepping stone to one’s future is done and dusted for this academic year.Now some are thinking of options other than college, options that will see them getting a job sooner than if they were to complete a degree course.These courses render the students an expertise in their field of study and are very coveted.Here is a list of these courses:-

1.Digital Marketing

digital gurukul/course

Digital marketing is marketing that makes use of electronic devices such as personal computers, smartphones, cellphones, tablets and game consoles to engage with stakeholders. It is also known as online or internet marketing is very much popular in foreign countries like UK, USA, Singapore, etc and its also opening its wings in India.

It is very important part of our future lives and one day will come when we will not be able to survive without digital marketing. India will become purely digitised in all aspects and everyone will think in a digital way.That time is not far away and we need that our generation is completely ready for it.

Many agencies use a combination of traditional and digital marketing channels; however, digital marketing is becoming more popular with marketers as it allows them to track their return on investment more accurately compared to other traditional marketing channels.

2.Cisco CCNA Certification

digital gurukul/course

CCNA (Cisco Certified Network Associate) is an information technology (IT) certification from Cisco. CCNA certification is an associate-level Cisco Profession certification.

The Cisco exams have modified a number of instances. In 2013, Cisco introduced an replace to its certification program that “aligns certification and training curriculum with evolving industry job roles. There at the moment are a number of several types of Cisco Certified Network Associate, with “CCNA Routing and Switching” being closest to the unique CCNA focus; different forms of CCNA concentrate on safety, cloud, collaboration, safety operations, design, information centre applied sciences, industrial plants, service suppliers, and wireless.

The content material of the exams is proprietary. Cisco and its studying companions provide quite a lot of completely different training strategies, together with books printed by Cisco Press, and online and classroom programs obtainable under the title “Interconnecting Cisco Network Devices“.

3.Web Designing

digital gurukul/course

The design is the method of gathering concepts, and aesthetically arranging and implementing them, guided by sure rules for a particular objective. Web design is the same strategy of creation, with the intention of presenting the content material on digital web pages, which the end-users can entry by the internet with the assistance of a web browser.

You can join the Coursera Course of  Web Design for Everybody (Basics of Web Development and Coding) Specialisation

The course covers the way to write syntactically appropriate HTML5 and CSS3, and how to create interactive web experiences with JavaScript. Mastering this vary of applied sciences will mean you can develop high-quality websites that, work seamlessly on mobile, tablet, and huge display screen browsers accessible. Through the capstone, you will develop a professional-quality web portfolio demonstrating your progress as an internet developer and your data of accessible web design. It will embody your capability to design and implement a responsive website that makes use of instruments to create a website that’s accessible to large viewers, together with these with visual, audial, physical, and cognitive impairments.

4.Machine Learning

digital gurukul/course

Machine learning is the science of getting computers to act without being explicitly programmed. In the past decade, machine learning has given us self-driving cars, practical speech recognition, effective web search, and a vastly improved understanding of the human genome. Machine learning is so pervasive today that you probably use it dozens of times a day without knowing it. Many researchers also think it is the best way to make progress towards human-level

The process of learning begins with observations or data, such as examples, direct experience, or instruction, in order to look for patterns in data and make better decisions in the future based on the examples that we provide.You can join the courses of

1. Udacity’s Intro to Machine Learning

This course shows you everything from grouping to choice trees, from ML calculations such as Adaboost to SVMs. Individuals additionally prescribe you take the foundational Intro to Data Science course which manages Data Manipulation, Data Analysis, Data Communication with Information Visualization, Data at Scale etc. This course is around 10-11 week course shows all you have to know to deal with informational collections utilizing machine learning systems to separate valuable bits of knowledge. Teachers Sebastian Thrun and Katie Malone will anticipate that the tenderfoots will know fundamental factual ideas and Python.

Course Link: https://www.udacity.com/course/intro-to-machine-learning–ud120

2. Google’s Deep Learning

The course leads Vincent Vanhoucke and Arpan Chakraborty anticipates that the learners will have a programming background in Python and some GitHub encounter and to know the fundamental ideas of ML and measurements, straight variable based math, and analytics. The TensorFlow (Google’s own profound learning library) course has an additionally preferred standpoint of acting naturally paced. Udacity offers this astonishing free course which “takes machine learning out to the next level.” Google’s 3-month course is not for novices. It discusses the inspiration for deep learning, deep neural networks, convolutional networks, and deep models for text and sequences.

Course Link: https://www.udacity.com/course/deep-learning–ud730

3. Machine Learning by Andrew Ng

This course covers supervised and unsupervised learning, linear and logistic regression, regularization, and Naïve Bayes. Andrew Ng an Associate Professor at Stanford University utilizes Octave and MatLab takes this 11-12 week course. The course is rich on the off chance that case studies and recent practical applications. Students are relied upon to know the rudiments of probability, linear algebra, and software engineering. The course has good reviews from the clients.

Course Link: https://www.coursera.org/learn/m…

4. Artificial Intelligence: Principles and Techniques by Stanford

This Stanford course discusses how AI utilizes math tools to manage complex issues, for example, machine interpretation, speech and face recognition, and self-ruling driving. You can get to the complete address layout—machine learning ideas; tree search, dynamic programming, heuristics; game playing; Markov decision procedures; constraint satisfaction issues; Bayesian systems; and rationale—and assignments.

Course Link: http://web.stanford.edu/class/cs…

5. EdX’s Learning from Data (Introductory Machine Learning)

Yaser S. Abu-Mostafa, Professor of Electrical Engineering and Computer Science at the California Institute of Technology, will show you the fundamental hypothetical standards, calculations, and uses of Machine Learning. The course requires an exertion of 10 to 20 hours for every week and keeps going 10-11 weeks.

Course Link: https://www.edx.org/course/learn…

5.Animation & VFX

digital gurukul/course

Animation is a highly focused and in-depth professional training qualification designed to prepare students for careers in various concentrations within the specialization of digital multimedia, animation.An animation is an art form and a very demanding career. It has ample opportunities for the creatively talented people. Opportunities lie in UI Design, Graphic Design, Storyboarding, Animation Design, Game Design, 3D Modelling, Texturing and Lighting, Dynamics and VFX and of course animation (2D and 3D). Of course, at the top of the pile lies Concept Designing – these people are required by Event Companies, Animation Studios, VFX Studios, and of course Game Studios. However, choosing between these must be done after seeing your performance in each of these. So going for a generic course covering all or most of these would be the best way to get started in these careers.

You can join the courses of

1.Coursera

2.Udemy

3.MAAC (Maya Academy of Advanced Cinematics)

 

 

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