Software Engineer Career Starter Guide for 2023
What you'll learn
- Career challenges faced by non computer science graduates and ways to overcome them without getting burnt out.
- Understanding impact of career decisions in longer term. Thinking beyond frameworks, languages.
- Identify the shortcomings in existing skillset and fix them systematically without burnout.
- Ways of growing in current role to become senior software engineer
- Networking with intent of career growth
- How to be impactful and prodcutive software engineer. Being a good engineer shaping software is more important than a coder admired by the manager.
- Identifying career blockers like toxic culture and systemic biases
- No programming experience needed.
- Planning to or already pursuing a career in software or IT industry in any role. (Dev,QA,Support,DevOps,Sys. Admin etc.)
- Building a career roadmap aligned with personal responsibilities
Are you a software engineer in the first five years of your career?
Looking for a way to map out your future and achieve your career goals?
Then this course is for you!
In this course, you will learn:
The myths and realities of the software engineering industry
How to compare different career paths
How to set realistic goals for yourself
How to develop a career roadmap that is achievable and rewarding
How to survive a recession in the software engineering industry
How to create a career roadmap that is aligned with your skills and interests
How to set realistic goals and achieve them
How to build a network of mentors and peers
How to navigate the job market and land the best job without chasing the dream job
Identify and overcome the challenges you'll face
Develop a career roadmap that's right for you
Set yourself up for success in the job market
Why this course?
Comprehensive: This course covers everything you need to know about planning and executing a successful software engineering career in the first five years.
Actionable: You'll learn specific steps you can take to achieve your career goals.
Expert-Led: This course is taught by an experienced software engineer with a proven track record of success.
This course is structured around the following sections:
Myths and Realities of Software Engineering
Comparing Career Paths
Setting Realistic Goals
Developing a Career Roadmap
Surviving a Recession in Software Engineering
In each section, you will learn about the challenges and opportunities you face as a software engineer in the first five years of your career. You will also learn about specific actions that you can take to stay on track and achieve your goals.
By the end of this course, you will have a clear understanding of your career goals and a roadmap for achieving them. You will also better understand the software engineering industry and how to survive a recession.
Learn how to plan and execute a successful software engineering career in the first five years. This course covers everything you need to know, from the myths and realities of the industry to the specific challenges you'll face.
Don't wait any longer to start planning your successful software engineering career. Enroll in this course today!
Who this course is for:
- Software Engineers with 0-5 years of experience. Software professionals seeking precise actionable advice to grow and build a prosperous career without burnout and days starting at browser based interview preparation portals.
- Sophomore, Post graduates, or anyone graduating in next couple of years.
- Anyone interested in starting a career in software or IT industry.
- Professionals interested in swithching from IT services companies to product companies within the same country or immigrating abroad.
As a professional programmer with over 17 years of experience, I have a Master of Science degree in Electrical Engineering and a strong interest in Distributed Systems, Algorithms, Deep Learning, Performance, and Optimization. My journey as a programmer started during my school days with Logo software, continued with assembly, BASIC, and Pascal during high school, and concluded with interdisciplinary research as part of my M.S.
Currently, I am working on online education initiatives and have experience adapting to dynamic and versatile startup work environments. I am comfortable working with open problem assignments and operating in an intrapreneurial role. Additionally, I have built big data (Spark) and data science (TensorFlow) skills that overlap with my M.S. curriculum and programming work experience.
My thesis focused on a geographically distributed network of sensors synchronized with nanosecond precision, collecting data for a machine learning system to detect a cosmic event. I have extensive experience with Linux and C++ (familiar with C++14/17/20 features), and I enjoy exploring new languages and frameworks with the help of active developer communities, resourceful websites, public code repositories, and YouTube channels.
My interests span Deep Learning, Databases, Networking, Algorithms, Performance, Kubernetes, and Optimization.