OUR trainings
training not listed?
Select from a range of topics from our Government or Solutions webpage, or we'll design a tailored training program to meet your needs.
Need it now?
Let's schedule a session that fits your timeline.
We tailor our training schedules to meet the needs of each client. Our small class sizes and focused approach ensure a more thorough and effective learning experience. Please contact us to discuss scheduling options.
Robotics for R&D
$2999 including Take-Home hardware; Ignition Sequence Crash Course (4 days)
Gain hands-on experience with robotics to transform your R&D workflow. Understand the dual aspects of robotics: 1) Hardware (systems, sensors, actuators) and 2) Software (AI, programming, simulation).
Learn to design, build, and program robots to automate experiments, measurements, enhance data collection, and increase productivity.
Numerical Python for Engineers
$1499; Crash Course (2 days)
Streamline Engineering Design with Python: Our workshop teaches you the skills to use Python for engineering design automation, optimization, and simulation. Learn to create efficient workflows and integrate Python with CAD/CAE tools. Participants will learn basic Python for engineering, automate design tasks, set design parameters, and run experiments. They will connect Python with CAD/CAE tools, create optimization algorithms, and increase design efficiency through automation.
Python for Scientific Research
$1499; Crash Course (2 days)
Learn Numerical Python (NumPy) for scientific computing in this workshop. You'll learn to use it for simulations, data analysis, and visualization in fields like physics, engineering, and materials science. The workshop covers NumPy basics, including calculations, data manipulation, and visualization, and how to apply it to real-world problems. You'll also learn how NumPy connects with other Python libraries like SciPy and Pandas, ultimately increasing your research productivity.
AI in Computer Science VS. Engineering
$2199; Ignition Sequence Crash Course (2.5 days)
Are AI in Data Science and AI in Engineering interchangeable? Well, depends. Grasp their unique aspects to determine which one (or both) suits your R&D needs.
AI in Computer Science: Focuses on algorithms, data structures, and software for intelligent systems.
AI in Engineering: Integrates AI into engineering solutions to optimize performance, efficiency, and innovation.
First Principles in Engineering
$2799; Ignition Sequence Deep Dive (5 days)
SpaceX's first principles thinking transformed the space industry. Now, discover how this approach can empower you to tackle complex problems, drive innovation, and shape the future of modern engineering. Participants will grasp first principles thinking in engineering, apply it to complex problems, and foster a questioning mindset. They will boost critical thinking and problem-solving skills, gaining confidence to pursue innovative solutions and drive change.
Autonomy in R&D and Best practices
$2999; Ignition Sequence Deep Dive (5 days)
This workshop will explore the autonomy in advancing research and development across the fields of heat transfer and structures. We'll dive into cutting-edge techniques like automated design, advanced modeling, and sophisticated experimental measurement methodologies. These tools empower engineers and researchers to optimize complex systems, accelerate innovation, and tackle challenging engineering problems.