1 November 2023
As a leading provider of specialist technology training, JBI Training was contracted by a major American semiconductor supplier to deliver comprehensive Python training to their software engineering teams across North America, Europe, and Asia Pacific.
With Python being central to many engineering workflows, the company sought to uplift their teams' skills in order to optimize development processes, improve automation, and stay at the cutting edge of innovation.
JBI designed and delivered customised Python courses based on the specific needs of the engineering teams, providing intense hands-on training balanced with easily digestible theory. Post-training surveys highlighted outstanding feedback, with participants scoring the training an average of 9.5 out of 10 across all areas.
Below we detail the tailored training approach utilized for this enterprise Python upskilling initiative.
JBI's training team collaborated closely with the client to analyse their development workflows, tools, and challenges. This enabled us to pinpoint where Python training could deliver the greatest benefits and optimization.
The core goals identified were to:
To achieve these goals, JBI utilised a three-pronged strategy:
This tailored strategy allowed us to equip engineers with immediately applicable Python skills while also showcasing Python's immense potential for long-term software engineering advancement.
JBI's Python trainers have decades of combined experience delivering industry training worldwide. We leveraged this experience to craft detailed course content that balanced comprehensiveness with relevance for professional software engineers.
The core training centered on hands-on coding exercises interleaved with conceptual lectures. Trainees worked through practical assignments constructing solutions for representative challenges drawn from real engineering settings.
Course content included:
The extensive hands-on focus enabled trainees to directly apply concepts to solving real-world problems. Lectures provided expert insights into best practices and pitfalls to avoid.
By the end of each course, engineers had built up a portfolio of Python programs and tools representative of the types of solutions needed in their jobs. Our trainers also emphasized how to find answers to future Python questions, learn new techniques, and continue growing their skills.
Trainings were delivered by JBI's most experienced Python trainers both virtually via video conferencing and on-site at the company's engineering hubs. This dual delivery model enabled broad reach while also providing in-person immersion at larger sites.
Our trainers leveraged engaging presentation formats including:
Cloud-based coding environments were provided to standardize tools and enable coding together during virtual sessions. For on-site trainings, engineers used their own machines or provided workstations.
JBI's proven training methodology emphasizes hands-on practice and experimentation. Trainees were encouraged to code alongside trainers implementing the techniques covered. Exercises progressed from simpler examples to more complex troubleshooting and optimization challenges.
Team collaboration was also encouraged, with engineers discussing solutions and peer programming - especially helpful for distributed teams collaborating remotely day-to-day. This peer-to-peer learning will catalyze further skill development beyond the training.
While the initial training delivered a wealth of immediately applicable Python proficiency, JBI provided additional support to ensure lasting value and growth:
The Python training initiative was resoundingly successful, with extremely positive feedback from participants. Some highlights:
Many trainees especially appreciated the focus on practical application over just language theory:
"I liked how we were actually able to immediately apply what we were learning to solve real-world examples. This training will be invaluable for increasing productivity."
"I had tried learning Python before through online courses but always struggled to connect the dots to my actual work. This training finally made Python click for me."
Most importantly, the client reported faster development cycles, reduced errors, and increased automation across their engineering organization - achieving their core training objectives.
From individual engineers to department leads, our tailored Python training delivered significant upskilling, catalysing higher performance and innovation.
JBI cherishes this partnership with a leading semiconductor supplier and looks forward to continued collaboration. The overwhelmingly positive response underscores the value of our blended training methodology.
Moving forward, we are eager to build on this foundation by supporting advanced Python applications in data science, analytics, cloud infrastructure, and more. The brightest engineers paired with cutting-edge skills will drive this company's future success - and JBI is honored to equip their team for the road ahead.
This is a list of the courses that the company is placing staff and teams on next.
After completing the core Python training, engineers now have a solid base to build upon. Follow-up courses can further enhance capabilities in key domains like data science, machine learning, and quantitative analytics. Recommended intermediate courses include:
For engineers looking to specialise in analytics and data science, a learning path could include:
To leverage Python for business insights, recommended courses include:
For engineers focused on efficient coding and development, courses like:
Ongoing needs and skill gaps can be assessed through follow-up surveys and management feedback. JBI is eager to continue partnering through this engineering team's next growth and innovation stages.