Today’s Free Udemy Courses are; Introduction to Microservices, Building Android Widgets from Scratch, Modern JavaScript for React JS – ES6 and Machine Learning- From Basics to Advanced
Coupons are limited. So It may run out early
Free Udemy Course – 25 March 2021
Introduction to Microservices
Microservices architecture provides a modern way of building highly scalable applications. Normally in building cloud-native applications microservices-based architecture is used. In this course, I have explained microservices in the simplest possible way. We start with the explanation of traditional architecture such as Monolithic Architecture, then we discuss how it evolved via service-oriented architecture (SOA) to finally microservices architecture. We talk about the benefits and the challenges of these architectures.
In this course, we do NOT cover the microservices-based-frameworks or advanced level of design patterns of microservices.
Who’s teaching you in this course?
I have been working with zekeLabs as a corporate trainer for AWS, Azure, DevOps, Git, Chef, Docker. I had extensive experience in the software industry where I have worked as a senior developer and cloud and DevOps Consultant. As a developer, I worked with Cadence, Aricent Technology in the Telecom domain, and Guavus in the Big Data domain. I was in 2007 batch Computer Science Graduate from NIT Allahabad. I am passionate about technology and education. I have shared my knowledge that gonna guide you to understand the core of Aws.
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Building Android Widgets from Scratch ( Learn 8 Widgets)
Learn How to build 8 Android Widgets right from scratch in just 2 hours
If you are an Android developer who has a good understanding of the application basics, then here’s your chance to expand your Android knowledge and move to the next-level in Android development.
In this course, you will learn how to build 8 commonly-used widgets on Android all on your own. The Instructor has opted for a hands-on approach to teaching these concepts.
You will learn how to create a Menu, a Navigational Drawer, a Collapsing Toolbar, and much more.
Who’s teaching you in this course?
I am a Computer Science graduate highly rated instructor with a rating of 4.3 and more than 200k students on Udemy, I have been part of the corporate circle since his college days. In his early days, I was part of a startup team delivering production grid android apps. Currently, I am a lead developer at EdYoda. I’m responsible for the entire front-end development & integration with the back-end. React, Python, Django is my areas of expertise. I have been delivering corporate training for Android, React, JavaScript, Python & Django. I have an eye for detail & that makes me suited for delivering a finished product. I’m a fitness freak & working out is the favorite thing to do in my spare time.
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Modern JavaScript for React JS – ES6.
Are you looking to extend your knowledge in Javascript programming by learning the concepts of modern javascript – ES6?
If you want to start your journey to become a React or Angular developer, then this is the perfect course for you.
What’s this course about?
This course is specifically designed for those who want to get a quick start with Modern Javascript, especially ES6 concepts. It covers all the basic concepts of ES6: how the javascript has evolved, how to use its latest features that come under ES6 topics, what is babel, and how it is used to compile the ES6 code to make it browser compatible. You will get all the behind the scenes of how the ES6 works in the introduction part of the course.
More details, please!
ES6/ES7 modern javascript programming is becoming an essential part of the web development industry, as most companies are shifting towards using various popular web frameworks like Angular JS, Vue JS, or React JS. The demand for Developers with knowledge of ES6 is also on the rise. This course will help you get all the essential knowledge from the get-go and you will be a master in the concepts of ES6 by the end of this course.
In this course, we have covered :
- All the basic to advanced concepts of ES6 right from variable declaration using ‘let’ and ‘const’ keywords, what is the difference between them and where to use them to the advanced topics like how to make asynchronous requests to servers using async-await and how to use promises to handle the requests more efficiently
- What are arrow functions and how to use them
- All about functional programming with the help of functions like map, reduce, filter, etc.
- How to deep clone the objects with help of rest and spread operators and also about the scenarios of where and how we should use them most effectively
By the end of this course, you will be ready to learn any latest web framework like React JS, Angular JS, or Vue JS.
Who’s teaching you in this course?
I am a Computer Science graduate highly rated instructor with a rating of 4.3 and more than 200k students on Udemy, I have been part of the corporate circle since my college days. In my early days, I was part of a startup team delivering production grid android apps. Currently, I am a lead developer at EdYoda. I’m responsible for the entire front-end development & integration with the back-end. React, Python, Django is my areas of expertise. I have been delivering corporate training for Android, React, JavaScript, Python & Django. I have an eye for detail & which makes me suited for delivering a finished product. I’m a fitness freak & working out is the favorite thing to do in my spare time.
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Machine Learning- From Basics to Advanced
This course has 5 parts as given below:
- Introduction & Data Wrangling in machine learning
- Linear Models, Trees & Preprocessing in machine learning
- Model Evaluation, Feature Selection & Pipelining in machine learning
- Bayes, Nearest Neighbors & Clustering in machine learning
- SVM, Anomalies, Imbalanced Classes, Ensemble Methods in machine learning
For the code explained in each lecture, you can find a GitHub link in the resources section.
Who’s teaching you in this course?
I am Professional Trainer and consultant for Languages C, C++, Python, Java, Scala, Big Data Technologies – PySpark, Spark using Scala Machine Learning & Deep Learning- sci-kit-learn, TensorFlow, TFLearn, Keras, h2o and delivered at corporates like GE, SCIO Health Analytics, Impetus, IBM Bangalore & Hyderabad, Redbus, Schnider, JP Morgan – Singapore & HongKong, CISCO, Flipkart, MindTree, DataGenic, CTS – Chennai, HappiestMinds, Mphasis, Hexaware, Kabbage. I have shared my knowledge that will guide you to understand the holistic approach towards ML.
Machine learning is the fuel we need to power robots, alongside AI. With Machine Learning, we can power programs that can be easily updated and modified to adapt to new environments and tasks to get things done quickly and efficiently.
Here are a few reasons for you to pursue a career in Machine Learning:
1) Machine learning is a skill of the future – Despite the exponential growth in Machine Learning, the field faces skill shortage. If you can meet the demands of large companies by gaining expertise in Machine Learning, you will have a secure career in a technology that is on the rise.
2) Work on real challenges – Businesses in this digital age face a lot of issues that Machine learning promises to solve. As a Machine Learning Engineer, you will work on real-life challenges and develop solutions that have a deep impact on how businesses and people thrive. Needless to say, a job that allows you to work and solve real-world struggles gives high satisfaction.
3) Learn and grow – Since Machine Learning is on the boom, by entering into the field early on, you can witness trends firsthand and keep on increasing your relevance in the marketplace, thus augmenting your value to your employer.
4) An exponential career graph – All said and done, Machine learning is still in its nascent stage. And as the technology matures and advances, you will have the experience and expertise to follow an upward career graph and approach your ideal employers.
5) Build a lucrative career– The average salary of a Machine Learning engineer is one of the top reasons why Machine Learning seems a lucrative career to a lot of us. Since the industry is on the rise, this figure can be expected to grow further as the years pass by.
6) Side-step into data science – Machine learning skills help you expand avenues in your career. Machine Learning skills can endow you with two hats- the other of a data scientist. Become a hot resource by gaining expertise in both fields simultaneously and embark on an exciting journey filled with challenges, opportunities, and knowledge.
Machine learning is happening right now. So, you want to have an early bird advantage of toying with solutions and technologies that support it. This way, when the time comes, you will find your skills in much higher demand and will be able to secure a career path that’s always on the rise.
