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By Trevor Page
The podcast currently has 65 episodes available.
Episode Summary
In this episode, Trevor Page delves into the challenges aspiring software developers face when trying to land their first job. Drawing from his 15 years of programming experience and 12 years of teaching, Trevor offers a unique perspective on the realities of breaking into the tech industry. He discusses the common misconceptions new developers have, the difficulties of finding a job, and why having coding skills alone isn't enough to secure a position.
Trevor also introduces Coders Campus's new Guaranteed Internship Program, designed to provide real-world coding experience in a team environment while working on software projects for actual customers. This innovative program offers a profit-sharing model, allowing participants to earn money based on the success of the projects they work on. He shares insights into the structure of the internship, the roles participants will play, and the long-term benefits of gaining practical experience.
Key Topics Discussed:
If you're ready to take your coding career to the next level and join a program that offers real-world experience, visit coderscampus.com/bootcamp to apply for the next cohort. For those interested in the upcoming certification program, email Trevor directly at [email protected].
Quotes:
Links and Resources:
The post Unlocking Your First Coding Job: The Realities and Solutions appeared first on Coders Campus.
Summary
To reach out and connect with Alex, here's her LinkedIn profile: https://www.linkedin.com/in/alex-mamolo-2a1b57222/
In this episode, Trevor interviews Alex, who shares her journey from being a musician to transitioning into the tech industry. Alex talks about her background in music, playing drums in a band, and the challenges she faced in her musical career. She then discusses her experience working in data entry and her decision to pursue a career in technology. Alex explains how she discovered coding and her decision to join a coding bootcamp. She shares her struggles with understanding methods and functions and the support she received from her instructors. Alex emphasizes the importance of understanding the fundamentals of coding and how it has impacted her personal growth and progress. In this conversation, Alex discusses her experience in the coding bootcamp and the challenges she faced. She shares how she overcame those challenges and gained confidence in her coding abilities. The conversation also explores the difficulty curve in learning programming and the importance of perseverance. Alex talks about her job search process and the need for relentless follow-up. The conversation concludes with an invitation for listeners to connect with Alex and seek advice on their own coding journey.
Takeaways
Chapters
00:00 Introduction and Background
02:09 Interest in Technology and Music
05:31 Transition from Music to Data Entry
06:26 Exploring Tech Education Options
08:23 Choosing a Coding Bootcamp
09:52 Learning HTML and CSS
12:43 Struggles with Methods and Functions
15:35 Support and Guidance from Instructors
23:00 Importance of Understanding Fundamentals
24:25 Personal Growth and Progress
24:54 Overcoming Challenges in the Bootcamp
26:15 The Difficulty Curve in Learning Programming
27:44 Struggling on the Job vs. in the Bootcamp
29:38 The Excitement and Satisfaction of Coding
31:04 Job Search Process and Challenges
32:33 The Importance of Relentless Follow-up
34:01 Conversion Rate in Job Applications
36:55 Balancing Time Between Assignments and Job Search
38:23 Avoiding the Comfort Zone and Focusing on Networking
39:20 Revisiting Assignments to Improve Skills
40:46 Alex's Strong Understanding of Programming Terminology
42:35 Follow-up and Feedback in the Job Search Process
45:29 Proving Interest and Following Up After Rejection
47:22 Closing Remarks and Invitation to Connect
I'm now accepting students into an immersive programming Bootcamp where I guarantee you a job offer upon graduation.
It is a 6 month, part-time, online Bootcamp that teaches you everything you need to know to get a job as a Java developer in the real-world.
You can learn more via www.coderscampus.com/bootcamp
The post Alex almost quit coding forever while in this Bootcamp appeared first on Coders Campus.
Takeaways
Chapters
I'm now accepting students into an immersive programming Bootcamp where I guarantee you a job offer upon graduation.
It is a 6 month, part-time, online Bootcamp that teaches you everything you need to know to get a job as a Java developer in the real-world.
You can learn more via www.coderscampus.com/bootcamp
The post From Struggling University Comp Sci Grad to Employed Coder – Tony Edmonds appeared first on Coders Campus.
Summary
If you want to connect/reach out to Jeff, here's his LinkedIn profile: https://www.linkedin.com/in/jeffpodmayer
In this episode, Trevor interviews Jeff, who made a transition from being an outdoor guide to pursuing a career in tech. Jeff shares his experiences working as a guide in the mountains and his journey into the tech industry. He discusses his interest in coding and how he researched different bootcamp options before choosing Coders Campus. Jeff also talks about his learning experience at the bootcamp and provides feedback for improvement. In this conversation, Jeff and Trevor discuss various aspects of the bootcamp experience and the job search journey. They talk about the importance of exercises and assignments in solidifying learning, as well as the need for more exercises in the later stages of the bootcamp. They also discuss the challenges of covering advanced topics and the length of the videos. Jeff shares his preparation for the job search and the support he has received from the career services team. Trevor emphasizes the importance of networking and finding a support system during the career transition. They conclude the conversation by discussing the value of honesty and support in the bootcamp experience.
Takeaways
Chapters
00:00
Introduction and Background
02:58
Transition from Outdoor Guide to Tech Career
05:47
Love for Nature and Outdoor Activities
10:00
Exploring Coding as an Option
26:09
Choosing Coders Campus
31:49
Learning Experience at Coders Campus
39:08
Feedback and Improvements
39:38
Exercises and Assignments
40:56
Topics Covered Towards the End
42:25
Revamping the Videos
46:43
Preparing for the Job Search
47:42
Networking and Support
53:54
Advice to the Younger Self
01:08:12
The Importance of Support
01:16:29
Rejection and Selectivity
01:17:26
Connecting with Jeff
I'm now accepting students into an immersive programming Bootcamp where I guarantee you a job offer upon graduation.
It is a 6 month, part-time, online Bootcamp that teaches you everything you need to know to get a job as a Java developer in the real-world.
You can learn more via www.coderscampus.com/bootcamp
The post From Backpacking Instructor to Coder in 5 Months – Jeff Podmayer appeared first on Coders Campus.
Takeaways
Chapters
I'm now accepting students into an immersive programming Bootcamp where I guarantee you a job offer upon graduation.
It is a 6 month, part-time, online Bootcamp that teaches you everything you need to know to get a job as a Java developer in the real-world.
You can learn more via www.coderscampus.com/bootcamp
The post From the Fashion Industry to Full-Stack Coder – Kevin Gallaccio appeared first on Coders Campus.
Welcome to the fascinating world of the Future of Coding with AI, where artificial intelligence meets programming, and innovation knows no bounds. As a seasoned coder who has embraced this new wave, I invite you to step into my reality.
Our coding landscape is changing rapidly, fueled by advances in AI that are redefining our craft. From dawn till dusk and often beyond, we navigate through complex algorithms and machine learning models that bring our digital creations to life.
In this ever-evolving journey, every line of code becomes a stepping stone toward an exciting future. The Future of Coding with AI isn't just about automation; it's about amplifying human potential and unlocking possibilities we never dreamed were possible.
Whether you're an aspiring programmer or simply intrigued by how technology shapes our world, join me on this exploration. Prepare yourself for a thrilling ride into the
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Hey there, fellow coder. Let's take a second to reflect on the path coding has taken us down. From its humble beginnings with manual computations, it has now evolved into a world where artificial intelligence (AI) is driving automated systems. It's like we're living in some sci-fi movie, right? But nope – that's just how software engineering rolls these days.
You know what they say about remembering your roots? Well, let me tell you – programming started off pretty rough around the edges. We were dealing with long strings of binary code; tedious doesn't even begin to cover it.
Then came assembly languages, which made things slightly easier by letting programmers use abbreviated codes instead of those mind-numbingly complex binaries.
We saw another major leap forward when high-level languages such as Fortran, C++, and Java entered the scene. Suddenly, coding was more accessible because we could write programs using syntax closer to human language rather than machine gibberish.
In recent years, though, our buddy Artificial Intelligence has been making waves in automating various aspects of software development too. I mean, think about it – Machine learning algorithms can generate chunks of code based on certain parameters or fix bugs all by themselves without any help from us humans.
If you ask me how much impact AI has had on software engineering, my answer would be “Huge.” One way this game-changer has transformed our field is through predictive analytics in debugging processes – basically identifying potential issues before they become actual problems for coders like us who are already juggling multiple tasks at once.
Besides troubleshooting assistance, AI-driven tools have also helped create cleaner and more efficient code bases via intelligent refactoring suggestions. They've proven handy not only for developers but also for project managers, as estimating effort levels required for specific tasks or predicting delivery timelines becomes so much simpler thanks to past data patterns
Key Takeaway: AI is rewriting the rules of coding, transforming it from a tedious binary affair to an intelligent, nearly automated process. It's not just making life easier for developers by predicting bugs and offering smart refactoring suggestions – it's revolutionizing software engineering itself.
Questioning what AI implies for programming and software engineering, we contemplate the future. The answer lies in understanding both where we are now and where technology might take us.
The progression of artificial intelligence has sparked much debate. Some see it as an increasingly clever AI program that will eventually replace programmers entirely. Others argue that while AI is indeed transforming many aspects of our lives – from automation powering tedious day-to-day processes to code generation – it's writing basic code rather than replacing humans altogether.
A study by McKinsey Global Institute suggests something similar: although certain tasks within jobs may change due to advancements like large language models and other great technical innovations; these shifts don't necessarily signal job extinction.
In fact, new types of work could emerge as technology evolves. For instance, roles focusing on maintaining and improving Zurich-based AI programs called DeepCode might become more prevalent.
Futuristic prediction models often paint a grim picture when discussing job displacement due to automation powered by artificial intelligence. However, such forecasts frequently overlook key factors such as adaptability and evolution within industries, particularly those involving repetitive tasks which can easily be automated.
Rather than eliminating positions outright, technology tends to alter responsibilities over time, making some obsolete and creating opportunities for others – A prime example of this shift can be seen in the open-source library management tool GitHub Copilot, developed to help developers write better, faster, safer code without compromising quality.
Software development is no exception to the principle of adaptation and evolution. Traditional skills complemented by understanding how algorithms function and knowing how to fine-tune machine learning models become crucially important to stay relevant in the changing landscape.
While the tech industry continues to evolve rapidly, one clear thing remains constant: the ability to learn continuously is paramount for anyone seeking longevity in their career, especially if they're looking for careers involving programming languages, tools tied closely to emerging technologies like Artificial Intelligence, Machine Learning, Data Science, etc.
Key Takeaway: AI's impact on coding isn't about job extinction, but evolution. It automates mundane tasks and sparks new roles like maintaining AI programs. Continuous learning is key to staying relevant in this ever-changing tech landscape where traditional skills meet machine understanding.
When discussing the evolution of technology, we often refer to an S-curve. This model outlines how innovations grow over time, starting with a slow beginning phase, moving into rapid growth, and eventually maturing as they become mainstream.
In the initial stage of this curve, new technologies face hurdles due to factors like lack of awareness or technical challenges. It's akin to planting seeds – not much is visible on the surface initially, but significant groundwork is being laid underneath.
The second part represents exponential growth where adoption skyrockets and improvements are made rapidly. During this period, most adopters get on board, and game-changing transformations occur.
The final segment signifies saturation when nearly all potential users have adopted the innovation. At this juncture, further progress slows significantly until another disruptive innovation comes along initiating its own S-curve journey.
This pattern has profound implications for both technological advancement and employment landscapes. When applied specifically to coding with AI, it could be argued that we're currently somewhere between stages two (rapid uptake) and three (saturation).
We've moved beyond early skepticism towards AI-driven tools in software engineering; these tools are now widely accepted within industry circles because they offer efficiency benefits. They help developers identify bugs faster than ever before, which drastically reduces debugging code time. Moreover, automated testing ensures high-quality output without human error involved, thereby creating a demand surge for professionals who can effectively leverage these tools.
However, just like any other field experiencing quick tech advancements, there's also concern about what happens once saturation hits – will jobs disappear? While some fear automation may make certain roles obsolete, others believe it'll simply shift focus onto more complex tasks requiring advanced skills.
Autonomous vehicles could potentially reduce the demand for drivers, but they'd still necessitate skilled engineers to program them. So rather than eliminating jobs altogether, advancements tend to create opportunities elsewhere.
Ultimately, understanding S-curves provides valuable insights into future trends, enabling individuals to adapt accordingly
Key Takeaway: The S-curve model of tech growth, from slow beginnings to rapid adoption and eventual saturation, is key to understanding the future of coding with AI. We're currently seeing wide acceptance and efficiency gains but must prepare for job shifts as we approach saturation.
By leveraging AI tools, software development has been revolutionized with increased efficiency and new opportunities. This integration has resulted in significant efficiency improvements and new opportunities within the field.
The shift from traditional methods: In the past, system design creation was often laborious and prone to human error. Today's developers are turning towards intelligent tools powered by artificial intelligence that can automate many aspects of this process.
Innovative examples: For instance, JetBrains' suite of developer tools uses machine learning algorithms to predict what coders might type next – significantly speeding up coding processes. Another example is Kite's Copilot feature which employs deep learning techniques providing real-time code completions as programmers write code.
Demonstrating effectiveness: A variety of case studies have highlighted how these technologies are being utilized effectively in practice. Doodlebug Interactive, a gaming company used an “AI-driven bug prediction” platform enabling them to identify potential bugs before they occurred, resulting in improved product quality and faster release cycles. The results were impressive: post-release defects reduced by 45%, and debugging time decreased by nearly half. These instances clearly illustrate that integrating AI into the software development lifecycle leads not only to increased productivity but also to enhanced quality outcomes.
This rise in accessibility does not mean the end of traditional coding roles. Rather, it creates a demand for skilled coders who understand both the programming principles underlying platforms and how to best leverage them to achieve the desired outcome. In other words, the future looks bright for those willing to adapt and learn alongside the evolving technological landscape.
Key Takeaway: AI is reshaping software development, boosting efficiency, and opening new opportunities. Tools like JetBrains' suite and Kite's Copilot are automating tasks, speeding up coding processes while reducing errors. Embracing this change doesn't spell the end for traditional coders but instead demands adaptability in leveraging these innovations effectively.
The intersection of coding and artificial intelligence is paving the way for a multitude of opportunities. Despite apprehensions that AI might displace human coders, it's crucial to recognize how these advancements can also usher in new possibilities.
A significant opportunity lies within the rise of startups spearheaded by non-technical founders. These individuals often bring forward innovative ideas but lack the technical prowess required to actualize them. Thanks to AI-powered tools like Zurich-based AI program called DeepCode, they are now able to develop software without needing extensive programming knowledge.
This democratization not only broadens access to technology creation but also creates job prospects for programmers who can offer support or customization services on such platforms as GitHub Copilot.
Furthermore, with AI's relentless upward trajectory comes an increased need for professionals adept at both coding expertise and understanding the principles behind artificial intelligence. The crafting of complex machine learning algorithms or neural networks calls for sophisticated programming abilities which cannot be wholly replaced by automated systems such as large language models used in code generation processes.
In this swiftly evolving landscape where traditional boundaries blur due to technological progress, continuous learning becomes vitally important. Coders must keep up with the newest trends, get to know new tech and adjust in order to avoid becoming outdated. Conversely, embracing change, maintaining curiosity, and continuously enhancing one's skill set could pave rewarding career paths brimming with exciting challenges and opportunities.
Absolutely. As AI evolves, it will require skilled programmers to develop and maintain these systems. Plus, new opportunities are emerging at the intersection of coding and artificial intelligence.
No. While AI can automate some aspects of coding, human creativity, and problem-solving skills remain crucial in software development.
Yes. Coding remains a valuable skill set even as we move into an increasingly automated world. Learning how to work alongside AI could open up exciting career paths.
Certainly. Combining knowledge of programming languages with an understanding of artificial intelligence can make you more versatile and marketable in today's tech-driven job landscape.
The journey through the evolution of coding to its future with AI has been fascinating. It's clear that technology, particularly artificial intelligence, is reshaping our world.
From historical perspectives to job market predictions and technological growth patterns like the s-curve phenomenon, we've traversed a lot of ground.
We've also delved into how AI tools are revolutionizing software development processes and creating efficiency like never before. The possibilities for coders in this fresh age are immense.
But remember, staying relevant requires continuous learning and adaptability as these advancements continue at an unprecedented pace.
If you're intrigued by what you've learned about the Future of Coding with AI and want to dive deeper or perhaps even embark on your own journey in this field…
Coders Campus invites you to join us. We're committed not only to helping individuals understand these changes but also to empowering them with the skills needed for success in this rapidly evolving landscape. Let's explore together!
The post Unveiling the Future of Coding with AI: A New Era appeared first on Coders Campus.
Starting a new coding project can be an exhilarating journey filled with opportunities to learn, grow and showcase your skills. However, it also comes with its fair share of challenges that require careful planning and strategic execution. Understanding the scope of the project through requirements documentation is a crucial first step in this process.
In my career as an experienced programmer, I have discovered that comprehending the part played by business analysts can significantly facilitate this procedure. They act as liaisons between stakeholders and developers, ensuring smooth communication throughout the project lifecycle.
Furthermore, Entity Relationship Mapping forms an integral part of any programming project. It aids in visualizing data relationships effectively while designing databases or software applications. We will explore how to create effective ERDs for your projects later on in this blog post.
We'll also delve into specific features like automated user account creation which are common across many coding projects today due to their numerous benefits such as improved efficiency and enhanced user experience.
The importance of implementing robust code review systems cannot be overstated when starting new coding projects either; they not only ensure high-quality output but also foster collaborative learning among team members.
Last but not least, we'll discuss strategies for dealing with rejected assignments – because let's face it: rejection is part-and-parcel of every coder's life! But fear not – we have some tips up our sleeve to help you turn these setbacks into stepping stones towards success!
The first step in any coding project, like our Coders Campus initiative, is to fully grasp the requirements document. This crucial phase lays the groundwork for your entire project and prevents unnecessary work on unwanted features.
As a seasoned professional with an IQ of 150, it is wise to inquire for further clarification when dealing with requirements documents in order to avoid any potential confusion or misunderstanding. In fact, seeking clarifications can save you hours of frustration down the line. It's better to ask than assume when interpreting requirements documents.
In essence, understanding requirement documents is like creating a roadmap for your coding journey ahead – one that guides you towards building an effective solution aligned with user needs and business goals alike.
In the coding world, business analysts are the bridge between coders and stakeholders. They translate complex tech talk into understandable terms for non-techies.
Business analysts dive deep into the requirements document, paying attention to every detail. This helps them understand the big picture before clarifying any confusion. Their expertise in business and tech ensures effective communication.
But wait, there's more. Business analysts don't just understand requirements; they also design solutions. They use fancy techniques like SWOT analysis and data modeling to propose stakeholder-friendly and tech-savvy solutions.
Their job doesn't end there. They monitor the solution's implementation, making sure it fits perfectly and meets user needs. They're like the superheroes of the coding world.
Today, we're diving into a crucial step in our project – Entity Relationship Mapping. After getting a clear understanding of the requirements document (and if you haven't yet, don't worry – it's never too late to start), this is what comes next.
An entity relationship diagram or ERD is basically your app's GPS. It shows you how different elements will interact, like a blueprint for a house. It ensures everything fits together seamlessly and functions as intended.
You might be wondering why ERDs are so important. Well, they serve multiple purposes: they help visualize data structures, validate system design decisions, and facilitate communication between developers and stakeholders. Without an effective ERD, there's a risk of misunderstanding requirements or overlooking key relationships between entities, which can lead to costly mistakes down the line.
Remember, at this point it's crucial to be precise; investing a bit of effort now will save lots of time in the future. clarity at this stage can save hours (or even days) of work later on.
In essence, taking time upfront for thorough entity relationship mapping sets us up for success when we start writing code. So let's embrace those diagrams and get ready for some serious coding fun.
In the coding world, automation is king. It's all about making things more efficient and user-friendly, which is why we're focusing on building an automated user account creation feature in our new project.
The ability to automatically create user accounts can significantly enhance the user experience. Say goodbye to manual account creation processes that are time-consuming and boring. This feature is a game-changer, especially when launching new cohorts of students or users within an application environment.
Before writing code to implement the Automatic User Account Creation Feature, it is important to gain a thorough understanding of how it works. The basic idea involves using APIs (Application Programming Interfaces) provided by third-party services like Google or Facebook. These APIs allow your app to securely communicate with these platforms. When a new student signs up using their Google or Facebook login details, their information gets transferred seamlessly without any manual form-filling.
You'll also need some knowledge about database management. You want to store these newly created accounts somewhere accessible yet secure. Check out the bootcamp I offer called Coders Campus for great lessons on managing databases effectively while keeping security in mind.
Remember: Coding isn't just about writing lines upon lines of code. Show your users you care by providing services that can save them time. Implementing features that save them precious minutes (or even hours) off their day-to-day routines shows that you've got their backs.
Key Takeaway:
In the coding world, automation is key. Building an automated user account creation feature can enhance the user experience by eliminating manual processes and saving time. By using APIs from platforms like Google or Facebook, you can seamlessly transfer user information without any form-filling, while also ensuring data accuracy and convenience for your users.
Let's talk about something important – a robust code review system. I know what you're thinking: “Code reviews? Just for senior devs?” Nope, not exactly.
A solid code review system is crucial for quality control. It helps find bugs early and ensures coding standards are followed. Plus, it's a great learning opportunity.
The author of the code and reviewer(s) must collaborate for a successful code review. The process has three steps:
In addition to the basic components, a notification system can boost efficiency. It reminds you of pending submissions older than 24 hours. No more excuses.
We're building this functionality into our app at Coders Campus because we believe in efficient learning. Stay tuned, fellow coders. Let's make every line of your hard work count. Happy coding.
Today we're diving into an important aspect of the learning process – dealing with rejected assignments. It's a topic that may appear intimidating initially, yet is essential for your development as a coder.
Imagine submitting an assignment and not receiving any feedback on it. You'd be left in the dark about how well you did or where you went wrong, right? That's why regular assignment feedback is so vital. It helps identify areas of improvement and provides direction for future tasks. A study by Edutopia even suggests that timely and constructive feedback can significantly enhance student performance.
The key here isn't just to provide feedback but to ensure it's actionable too. For instance, instead of simply stating “Your code doesn't work,” instructors should aim to point out specific issues like “Your loop condition seems incorrect” or “Consider optimizing this function.”
In our upcoming Coders Campus project, we're incorporating a feature designed specifically to address this issue: persistent notifications for rejected assignments needing tweaks. Persistent notifications aren't only meant to jolt students into remembering their incomplete assignments; they also serve as an impetus for them to go back and examine what went wrong, thereby aiding in learning.
Persistent reminders serve two main purposes:
This approach aligns with research suggesting that frequent low-stakes testing improves long-term retention. In other words, revisiting concepts through corrections leads to better understanding and memory retention over time.
To sum up: Dealing with rejected assignments may feel frustrating initially, but remember – each rejection brings you one step closer to becoming a proficient coder. So embrace those red marks; they are stepping stones leading you towards success in your coding journey.
Key Takeaway:
Dealing with rejected assignments is an important part of the learning process for coders. Regular assignment feedback helps identify areas for improvement and provides direction for future tasks, while persistent notifications for rejected assignments encourage students to learn from their mistakes and improve their coding skills.
– Personal experiences or anecdotes are a great way to connect with readers and make coding more relatable.
To start your first coding project, you need to understand basic programming concepts, choose a simple project idea that interests you, plan out your tasks, and then begin writing code.
Planning a new programming project involves defining the problem statement, identifying requirements through an effective Requirements Document, creating Entity Relationship Diagrams (ERDs), designing system architecture, and outlining implementation steps.
You can find ideas for a coding project by looking at real-world problems that need solutions. Websites like GitHub Project Ideas also provide numerous suggestions.
Coding is introduced as the process of using languages such as Python, Java, or C++ to instruct computers on performing tasks. My bootcamp, Coders Campus, offers a comprehensive guide on getting started.
Better plan it carefully and understand the requirements document. Don't forget the crucial role of a business analyst in translating business needs into technical specifications. And hey, don't skimp on creating those fancy entity relationship diagrams (ERDs) to map out your database structure.
Want to boost productivity and efficiency in your coding project? Implement automated user account creation and coding review systems. These nifty features will streamline processes and improve collaboration among your team members. Oh, and don't forget to deal with rejected assignments through regular feedback and persistent notifications to drive improvement and ensure continuous learning.
The post Essential Steps for Starting New Coding Project Successfully appeared first on Coders Campus.
In this episode we'll talk to Ethan, who is a recent graduate from the Coders Campus Bootcamp and managed to land a job within two months of starting the search.
Ethan and I talk about how, from a young age, he was guided away from learning technology because his teachers didn't feel he was cut out for the field.
In this interview we'll learn how wrong his teachers were and how Ethan was able to complete the coding bootcamp while also raising a small child with a pregnant wife and working a full-time job.
If you'd like to get in touch with Ethan, feel free to add him via LinkedIn here
I'm now accepting students into an immersive programming Bootcamp where I guarantee you a job offer upon graduation.
It is a 6 month, part-time, online Bootcamp that teaches you everything you need to know to get a job as a Java developer in the real-world.
You can learn more via www.coderscampus.com/bootcamp
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The post EP59 – From Stone Mason to Software Developer in 8 Months appeared first on Coders Campus.
In this episode we'll talk to Dustin, who is a recent graduate from the Coders Campus Bootcamp and managed to land a job within two months of starting the search.
Dustin and I talk about his prior coding experience that he had before he joined our Bootcamp (spoiler: it wasn't much at all), and we talk about his experience as he went through the curriculum.
Ultimately we know how his story turned out, but in this special interview we'll learn about HOW he was able to accomplish the task of completing the Bootcamp and landing a job while also being a father of a 2 year old, a husband, a full-time employee and part-time college student.
We'll also learn about the important lessons that Dustin learned once he began his job search, and what mistakes he was making early on before he pivoted his approach, which then lead to the job that he was offered.
If you'd like to get in touch with Dustin, feel free to add him via LinkedIn here
I'm now accepting students into an immersive programming Bootcamp where I guarantee you a job offer upon graduation.
It is a 6 month, part-time, online Bootcamp that teaches you everything you need to know to get a job as a Java developer in the real-world.
You can learn more via www.coderscampus.com/bootcamp
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Intro / Outro 55:32
The post EP58 – From Electrical Technician to Software Developer in 8 Months appeared first on Coders Campus.
In this episode we'll talk to Yasiin, who is a graduate from the Coders Campus Bootcamp.
We dive into his story about how he started his coding journey as a Restaurant Manager, and went through two Coding Bootcamp before landing his first job.
Yasiin shares a ton of great insights and tips for beginner coders who are hoping to get a job, so be sure to listen to the whole episode.
I'm now accepting students into an immersive programming Bootcamp where I guarantee you a job offer upon graduation.
It is a 6 month, part-time, online Bootcamp that teaches you everything you need to know to get a job as a Java developer in the real-world.
You can learn more via www.coderscampus.com/bootcamp
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The post EP57 – From Restaurant Manager to Software Developer appeared first on Coders Campus.
The podcast currently has 65 episodes available.