How upskilling strengthens Trusted Mission AI at Leidos
As technology continues to advance at a rapid pace, the ability to innovate is crucial—but innovation is only possible with a workforce equipped to navigate the complexities of advanced technology. At the core of Trusted Mission AI is the need for a team that not only understands the fundamentals of AI but can also apply it in real-world, mission-critical scenarios. Upskilling employees to meet these demands is essential, ensuring that they are not only proficient in AI but are also capable of pushing the limits of what AI can achieve in service of secure, dependable solutions.
AI Palooza, an annual internal event hosted by the Leidos AI Accelerator, serves as a cornerstone of upskilling initiatives by inviting employees across the company to deepen their expertise in AI strategy and technology. This year’s challenge leveraged the Amazon Web Services (AWS) DeepRacer platform, equipping employees with vital AI skills in a dynamic format.
Held from July to October, the goal of the competition was centered on training and deploying autonomous vehicles. Designed to make learning both practical and fun, the event provided participants access to advanced technology and platforms, enabling them to develop skills they can apply directly to their roles.
This event is about pushing boundaries. AI Palooza provides a unique platform for our teams to collaborate, innovate, and experiment with AI in ways they might not have imagined. It’s more than a competition – it’s a launchpad for new ideas and skill development.
Jackson Scott
Research Scientist, AI Palooza Challenge Lead, Leidos
With cloud costs covered by partner AWS, participants used the DeepRacer platform to train self-driving models, transforming theoretical knowledge into hands-on experience. The contestants documented their progress in Institute of Electrical and Electronics Engineers (IEEE)-style reports, critically analyzing each decision and outcome. This approach fostered an environment where participants not only learned machine learning principles but also honed analytical and problem-solving skills.
“DeepRacer is more than just a race,” explained data scientist Bryce King. “It’s a safe, interactive environment where we get to experiment with machine learning, learn from mistakes, and see AI’s potential in action. The skills we gain through this platform are applicable to the work we do for our customers.”
Related Reading: Driving the future of customer missions with trusted mission AIThe challenge reached its peak at an in-person finale held at global headquarters in Reston, Virginia. Supported by AWS, the event brought the excitement of simulation into reality as finalists raced their models on a track, culminating in a surprise backward lap that challenged competitor’s solutions to demonstrate the resilience, adaptability, and performance required to make Trusted Mission AI work in the real world. This hands-on showdown showcased the ingenuity, dedication, and technical skill of employees.
The AI Palooza Challenge has made a lasting impact throughout the organization, drawing contestants from diverse roles and backgrounds—from a pricing manager to an application support analyst. Many participants apply their expertise in their daily roles, further strengthening capabilities in delivering reliable, cutting-edge AI solutions for customers.
“At Leidos, upskilling is embedded in our culture,” said Ron Keesing, chief AI officer. “Through initiatives like the AI Palooza challenge, we’re building a workforce that’s not only technically skilled but also curious and resilient – prepared to take on the complexities of the coming age of AI. The innovation and problem-solving we see are a testament to our team’s dedication to growth.”
