
18 Years in Tech, Adapting with AI: Prakash's AI Journey with Simplilearn 2026
For experienced tech professionals, staying relevant often means continuing to learn long after establishing a successful career.
Questions such as these become increasingly important:
Is AI relevant for experienced .NET developers?
Should senior IT professionals learn AI and machine learning?
Can AI skills complement years of software development experience?
How can professionals apply AI knowledge to their existing projects?
For Laxmi Prakash, these questions became especially relevant after nearly two decades in application and product development.
With 18 years of experience as a .NET developer, Laxmi has worked across healthcare, finance, and legal domains. He currently works at Cubictree Technology, where he manages product deliveries, mentors teams, and contributes to AI-related initiatives while leading teams of 5 to 20 members.
His career has also taught him the importance of adaptability.
Having experienced economic uncertainty during the 2005–06 and 2008–09 recessions, Laxmi learned early that persistence and continuous effort are essential to navigating change.
After 16–17 years in application and product development, he began noticing how quickly AI was becoming part of the technology landscape. With his organization increasingly working with data science and AI-related projects, he recognized an opportunity to expand his existing technical expertise.
That realization led him to begin his upskilling journey with Simplilearn.
After initially completing a cloud computing course, Laxmi later enrolled in the AI and Machine Learning program. The program aligned with his goal of understanding AI and exploring how it could be incorporated into his professional work.
What stood out to him was the structured learning experience. He found the self-learning content clear and well organized, while the hands-on projects helped him understand fundamental AI and machine learning concepts. He also appreciated instructors such as Subham Pandey for providing detailed explanations and going beyond the core syllabus.
Balancing a demanding leadership role with learning required discipline. Weekend classes allowed him to continue his education alongside work, while dedicating time each day to revision helped him stay consistent.
Today, Laxmi is exploring AI models and APIs including OpenAI, Microsoft Azure, and Gemini, with the goal of integrating AI capabilities into projects at his organization.
His upskilling journey has helped him:
✔ Build foundational knowledge of AI and machine learning
✔ Expand his expertise beyond traditional .NET development
✔ Explore AI models and APIs relevant to his work
✔ Understand how AI can be applied to existing projects
✔ Continue learning while managing a senior professional role
✔ Prepare for the growing role of AI across technology and business
Laxmi’s journey demonstrates that upskilling does not mean abandoning years of professional experience. Instead, emerging technologies can complement an established skill set and create new ways to apply existing expertise.
His advice to experienced professionals is simple: it is never too late to learn. As AI becomes increasingly relevant across technology, management, sales, and other functions, understanding its fundamentals can help professionals stay adaptable in a changing workplace.
For senior technology professionals considering their own AI learning journey, Laxmi’s experience highlights the value of consistent learning, practical application, and connecting new skills with existing domain expertise.
Individual career outcomes vary based on prior experience, skills, effort, market conditions, and other factors.
About Simplilearn:
A Blackstone portfolio company, Simplilearn is a global leader in digital skills training, empowering learners worldwide with the skills needed to thrive in today’s digital economy.
Founded in 2010, Simplilearn offers industry-relevant programs developed in collaboration with leading universities, corporations, and industry bodies. Its learning experience combines expert-led live online classes with practical, career-focused learning.
Our programs are delivered in collaboration with the executive and professional education departments of globally recognized premier institutions, including Virginia Tech, Michigan Engineering, UC San Diego, Saïd Business School at the University of Oxford, UC Santa Barbara, Carnegie Mellon University, Duke University, and many more.
In addition to its academic partnerships, Simplilearn collaborates with leading global technology companies such as IBM, Microsoft, and Google, bringing industry expertise and cutting-edge skills to learners around the world.
#SimplilearnReview
#AIandML
#ArtificialIntelligence
#CareerUpskilling
#SeniorProfessionals
#DotNetDeveloper
#TechCareer
#AIEngineer
#MachineLearning
#FutureOfWork
#ProfessionalDevelopment
#CareerGrowth
Questions such as these become increasingly important:
Is AI relevant for experienced .NET developers?
Should senior IT professionals learn AI and machine learning?
Can AI skills complement years of software development experience?
How can professionals apply AI knowledge to their existing projects?
For Laxmi Prakash, these questions became especially relevant after nearly two decades in application and product development.
With 18 years of experience as a .NET developer, Laxmi has worked across healthcare, finance, and legal domains. He currently works at Cubictree Technology, where he manages product deliveries, mentors teams, and contributes to AI-related initiatives while leading teams of 5 to 20 members.
His career has also taught him the importance of adaptability.
Having experienced economic uncertainty during the 2005–06 and 2008–09 recessions, Laxmi learned early that persistence and continuous effort are essential to navigating change.
After 16–17 years in application and product development, he began noticing how quickly AI was becoming part of the technology landscape. With his organization increasingly working with data science and AI-related projects, he recognized an opportunity to expand his existing technical expertise.
That realization led him to begin his upskilling journey with Simplilearn.
After initially completing a cloud computing course, Laxmi later enrolled in the AI and Machine Learning program. The program aligned with his goal of understanding AI and exploring how it could be incorporated into his professional work.
What stood out to him was the structured learning experience. He found the self-learning content clear and well organized, while the hands-on projects helped him understand fundamental AI and machine learning concepts. He also appreciated instructors such as Subham Pandey for providing detailed explanations and going beyond the core syllabus.
Balancing a demanding leadership role with learning required discipline. Weekend classes allowed him to continue his education alongside work, while dedicating time each day to revision helped him stay consistent.
Today, Laxmi is exploring AI models and APIs including OpenAI, Microsoft Azure, and Gemini, with the goal of integrating AI capabilities into projects at his organization.
His upskilling journey has helped him:
✔ Build foundational knowledge of AI and machine learning
✔ Expand his expertise beyond traditional .NET development
✔ Explore AI models and APIs relevant to his work
✔ Understand how AI can be applied to existing projects
✔ Continue learning while managing a senior professional role
✔ Prepare for the growing role of AI across technology and business
Laxmi’s journey demonstrates that upskilling does not mean abandoning years of professional experience. Instead, emerging technologies can complement an established skill set and create new ways to apply existing expertise.
His advice to experienced professionals is simple: it is never too late to learn. As AI becomes increasingly relevant across technology, management, sales, and other functions, understanding its fundamentals can help professionals stay adaptable in a changing workplace.
For senior technology professionals considering their own AI learning journey, Laxmi’s experience highlights the value of consistent learning, practical application, and connecting new skills with existing domain expertise.
Individual career outcomes vary based on prior experience, skills, effort, market conditions, and other factors.
About Simplilearn:
A Blackstone portfolio company, Simplilearn is a global leader in digital skills training, empowering learners worldwide with the skills needed to thrive in today’s digital economy.
Founded in 2010, Simplilearn offers industry-relevant programs developed in collaboration with leading universities, corporations, and industry bodies. Its learning experience combines expert-led live online classes with practical, career-focused learning.
Our programs are delivered in collaboration with the executive and professional education departments of globally recognized premier institutions, including Virginia Tech, Michigan Engineering, UC San Diego, Saïd Business School at the University of Oxford, UC Santa Barbara, Carnegie Mellon University, Duke University, and many more.
In addition to its academic partnerships, Simplilearn collaborates with leading global technology companies such as IBM, Microsoft, and Google, bringing industry expertise and cutting-edge skills to learners around the world.
#SimplilearnReview
#AIandML
#ArtificialIntelligence
#CareerUpskilling
#SeniorProfessionals
#DotNetDeveloper
#TechCareer
#AIEngineer
#MachineLearning
#FutureOfWork
#ProfessionalDevelopment
#CareerGrowth
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