Showing posts with label Software. Show all posts
Showing posts with label Software. Show all posts

Saturday, 10 February 2024

Software Developer Career Guide and Interview Preparation

 

What you'll learn

Describe the role of a software engineer and some career path options as well as the prospective opportunities in the field.

Explain how to build a foundation for a job search, including researching job listings, writing a resume, and making a portfolio of work.

Summarize what a candidate can expect during a typical job interview cycle, different types of interviews, and how to prepare for interviews.

Explain how to give an effective interview, including techniques for answering questions and how to make a professional personal presentation.

Join Free : Software Developer Career Guide and Interview Preparation

There are 3 modules in this course

Software engineering professionals are in high demand around the world, and the trend shows no sign of slowing. There are lots of great jobs available, but lots of great candidates too. How can you get the edge in such a competitive field?

This course will prepare you to enter the job market as a great candidate for a software engineering position. It provides practical techniques for creating essential job-seeking materials such as a resume and a portfolio, as well as auxiliary tools like a cover letter and an elevator pitch. You will learn how to find and assess prospective job positions, apply to them, and lay the groundwork for interviewing. 

The course doesn’t stop there, however. You will also get inside tips and steps you can use to perform professionally and effectively at interviews. You will learn how to approach a code challenge and get to practice completing them. Additionally, it provides information about the regular functions and tasks of software engineers, as well as the opportunities of the profession and some options for career development.

You will get guidance from a number of experts in the software industry through the course. They will discuss their own career paths and talk about what they have learned about networking, interviewing, solving coding problems, and fielding other questions you may encounter as a candidate. Let seasoned software development professionals share their experience to help you get ahead and land the job you want.  

This course will prepare learners for roles with a variety of titles, including Software Engineer, Software Developer, Application Developer, Full Stack Developer, Front-End Developer, Back-End Developer, DevOps Engineer, and Mobile App Developer.

Monday, 8 January 2024

IBM DevOps and Software Engineering Professional Certificate

 


What you'll learn

Develop  a DevOps mindset, practice Agile philosophy & Scrum methodology -  essential to succeed in the era of Cloud Native Software Engineering

Create applications using Python  language, using various programming constructs and logic, including functions, REST APIs, and  libraries

Build applications composed of microservices and deploy using containers (e.g. Docker, Kubernetes, and OpenShift) & serverless technologies

Employ tools for automation, continuous integration (CI) and continuous deployment (CD) including Chef, Puppet, GitHub Actions, Tekton and  Travis. 

Join Free:IBM DevOps and Software Engineering Professional Certificate

Professional Certificate - 14 course series

DevOps professionals are in high demand! According to a recent GitLab report,  DevOps skills are expected to grow 122% over the next five years,  making it one of the fastest growing skills in the workforce. 

This certificate will equip you with the key concepts and technical know-how to build your skills and knowledge of DevOps practices, tools and technologies and prepare you for an entry-level role in Software Engineering. 

The courses in this program will help you develop skill sets in a variety of DevOps philosophies and methodologies including Agile Development, Scrum Methodology, Cloud Native Architecture, Behavior and Test-Driven Development, and Zero Downtime Deployments.

You will learn to program with the Python language and Linux shell scripts,  create projects in GitHub, containerize and orchestrate your applications using Docker, Kubernetes & OpenShift,  compose applications with microservices, employ serverless technologies,  perform continuous integration and delivery (CI/CD), develop testcases,  ensure your code is secure, and monitor & troubleshoot your cloud deployments.

Guided by experts at IBM, you will be prepared for success. Labs and projects in this certificate program are designed to equip job-ready hands-on skills that will help you launch a new career in a highly in-demand field. 

This professional certificate is suitable for both - those who have none or some programming experience, as well as those with and without college degrees.

Applied Learning Project

Throughout the courses in this Professional Certificate,  you will develop a portfolio of projects to demonstrate your proficiency using various popular tools and technologies in DevOps and Cloud Native Software Engineering. 

You will: 

Create applications using Python programming language, using different programming constructs and logic, including functions, REST APIs, and various Python libraries.

Develop Linux Shell Scripts using Bash and automate repetitive tasks

Create projects on GitHub and work with Git commands

Build  and deploy applications composed of several microservices and deploy  them to cloud using containerization tools (such as Docker, Kubernetes,  and OpenShift); and serverless technologies

Employ various tools for automation, continuous integration (CI) and  continuous deployment (CD) of software including Chef, Puppet, GitHub  Actions, Tekton and Travis.

Secure and Monitor your applications and cloud deployments using tools like sysdig and Prometheus.

Tuesday, 14 November 2023

IBM Full Stack Software Developer Professional Certificate

 


Prepare for a career as a full stack developer. Gain the in-demand skills and hands-on experience to get job-ready in less than 4 months. No prior experience required.

What you'll learn

Master the most up-to-date practical skills and tools that full stack developers use in their daily roles

Learn how to deploy and scale applications using Cloud Native methodologies and tools such as Containers, Kubernetes, Microservices, and Serverless

Develop software with front-end development languages and tools such as HTML, CSS, JavaScript, React, and Bootstrap

Build your GitHub portfolio by applying your skills to multiple labs and hands-on projects, including a capstone

Professional Certificate - 12 course series

Prepare for a career in the high-growth field of software development. In this program, you’ll learn in-demand skills and tools used by professionals for front-end, back-end, and cloud native application development to get job-ready in less than 4 months, with no prior experience needed. 

Full stack refers to the end-to-end computer system application, including the front end and back end coding. This Professional Certificate covers development for both of these scenarios. Cloud native development refers to developing a program designed to work on cloud architecture. The flexibility and adaptability that full stack and cloud native developers provide make them highly sought after in this digital world. 

You’ll  learn how to build, deploy, test, run, and manage full stack cloud native applications. Technologies covered includes Cloud foundations, GitHub, Node.js, React, CI/CD, Containers, Docker, Kubernetes, OpenShift, Istio, Databases, NoSQL, Django ORM, Bootstrap, Application Security, Microservices, Serverless computing, and more. 

After completing the program you will have developed several applications using front-end and back-end technologies and deployed them on a cloud platform using Cloud Native methodologies. You will publish these projects through your GitHub repository to share your portfolio with your peers and prospective employers.

This program is ACE® recommended—when you complete, you can earn up to 18 college credits.

Applied Learning Project

Throughout the courses in the Professional Certificate, you will develop a portfolio of hands-on projects involving various popular technologies and programming languages in Full Stack Cloud Application Development. These projects include creating:

HTML pages on Cloud Object Storage

An interest rate calculator using HTML, CSS, and JavaScript

An AI program deployed on Cloud Foundry using DevOps principles and CI/CD toolchains with a NoSQL database

A Node.js back-end application and a React front-end application

A containerized guestbook app packaged with Docker deployed with Kubernetes and managed with OpenShift

A Python app bundled as a package

A database-powered application using Django ORM and Bootstrap

An app built using Microservices & Serverless

A scalable, Cloud Native Full Stack application using the technologies learned in previous courses

You will publish these projects through your GitHub repository to share your skills with your peers and prospective employers.

Join - IBM Full Stack Software Developer Professional Certificate

Sunday, 26 April 2020

Monday, 15 July 2019

Lecture - 22 Verification and Validation

                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                       

Lecture-12 Data Modelling

                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                       

Thursday, 11 July 2019

Lecture - 11 Data Modelling - ER Diagrams, Mapping

                                                                                                                                            
                                                                                                                                           

lecture - 9 Process Modelling - DFD , Function Decomp

                                                                                                                                          
                                                                                                                                      
                                                                                                                                     

Lecture - 10 Process Modelling - DFD, Function Decomp

                                                                                                                                                                    
                                                                                                                                                           
                                              

Lecture - 8 Systems Modelling Overview

                                                                                                                                                                                                                                   
                                                       
                                                                    


Lecture - 7 Algebraic Specification Methods

                                                                                                                                                                 
                                                                                                                                  
                                                                                                            

Lecture - 6 Formal Specification

                                                                                                                                                                             
                                                                                                                                                   
                                                                                                                                     

Lecture -5 Requirements Engineering / Specification

                                                                                                                                                      
                                                                                                                                                       
                   

Lecture - 4 Overview of Phases

                                                                                                                                                                                                                                                                                             

Lecture-3 Overview of Phases

                                                                                                                                                                                                               
                                                                                                                                                                           

Wednesday, 10 July 2019

Lecture - 2 Introduction to Software Engineering

                                                                                                                                                       
                                                                                                                                                                

Lecture - 1 Introduction to Software Engineering

                                                                                                                                                                      
                                                                                                                                                                             

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