What Teachers Can Expect Their Learners to Achieve

Solid understanding of the basics of inputs, outputs and process. How to look at a real-world issue, analyze and create a smart system to solve the problem. How to create algorithms and code robot solutions Recognize what it takes to be a professional in the industry. Understand the fundamental relationship between coding, intelligence and behaviors. There is no perfect design and be able to analyze, test and critically review their work and use feedback to improve. How to present a solution to a client. How to apply the Engineering and Problem Solving Process. Demonstrate an understanding of professional ethics and web legal issues including privacy, copyright, and information security. Create a Portfolio that demonstrates an understanding of robotics and the engineering / design process. Understand the trends in robotics and autonomous vehicles. Understand the different types of Artificial Intelligence and levels of Autonomy Be properly prepared to take on and earn the optional CoA Certificate.

Course Specifications

Platforms – PC, Mac and Chromebook Length – Semester, Year Career Cluster – Information Technology/Arts, Manufacturing Industry Course Completion Certificate – MS, HS Level – Middle School, High School, Post-Secondary Course Delivery – Blended Learning, Online Student Competitions – Available CEUs – Available for Teacher Training Prerequisites for Facilitator – None Prerequisites for Students – None 3rd Party Tools – Coding Tools Free, Requires Robot Kit (mBot by MakeBlock)

Do We Need to Purchase Physical Robots for This Course?

No. We utilize high-fidelity 3D simulators where students can program and test robotic behavior virtually, solving the budget barrier of physical hardware kits.

Do Teachers Need A Background In Robotics Or Coding To Facilitate This Course?

No prior experience in robotics or artificial intelligence is required for instructors or students. The course is built with a "turnkey" approach, providing comprehensive video tutorials and step-by-step guides that empower any educator to lead a high-level STEM classroom. This structure ensures that schools can offer cutting-edge tech education without needing to hire specialized engineers.

What Careers Does The AI and Mobile Robotics Curriculum Prepare Students For?

Students develop a professional portfolio that demonstrates their ability to solve complex problems using autonomous systems. This prepares them for a wide range of high-demand careers in 2026 and beyond, including roles in automated manufacturing, drone technology, AI ethics, and software development. The course serves as a strategic springboard for students looking to pursue advanced degrees or immediate entry into the technical workforce.

Artificial Intelligence and Mobile Robotics

75+ Videos

15+ ASSESSMENTS

7+ projects

free coding software, robot kit needed

Platforms

PC, Mac, Chromebook

Length

Semester, Year

Certificate

Course Completion Certificate

Digital Badge Credential

MS Certificate, HS-Adult Certifications

Artificial Intelligence and Mobile Robotics Curriculum

Prepare Students for the Autonomous Revolution—No Expensive Hardware Lab Required.

Artificial Intelligence (AI) is no longer a futuristic concept; it is the backbone of the 2026 global economy. From self-driving logistics to autonomous drones and smart manufacturing, the demand for "AI-literate" professionals is surging. The World Economic Forum projects 170 million new jobs in AI by 2030. Our Artificial Intelligence and Mobile Robotics curriculum provides a turnkey solution for schools to launch high-demand robotics programs that bridge the gap between classroom theory and industry application. Our curriculum is built to meet the rigorous demands of state and national educational standards, ensuring your program is audit-ready and eligible for funding.

Why Districts Choose Our AI and Robotics Program

1. Virtual Simulators: Solving the Hardware Budget Barrier

The biggest obstacle to robotics education has traditionally been the cost and maintenance of physical hardware. We’ve eliminated that barrier. While our curriculum supports physical kits like the mBot, it features high-fidelity 3D virtual simulators. This allows students to code, test, and refine robotic behaviors entirely on Chromebooks, Macs, or PCs. Districts can now scale their robotics pathways to every student without needing a $10,000 hardware lab.

2. Biomimicry and Smart Systems Design

We teach students to look to nature for engineering inspiration. By examining successful behaviors in animals and insects—a field known as biomimicry—students learn to break down complex actions into codeable logic. This unique pedagogical approach helps learners understand how "intelligence" is modeled in autonomous systems, moving them from basic remote-control operation to true autonomous programming.

3. Turning Teachers into "Learning Architects"

You don’t need an engineering degree to run a world-class robotics lab. Our "all-inclusive" curriculum is designed for the Learning Architect model, empowering any motivated educator to lead the course. We provide:

75+ Step-by-Step Videos: Guiding students through the engineering design process.
Turnkey Teacher Solutions: Automated assessments, grading rubrics, and detailed facilitator guides that minimize prep time.
Industry Context: Expert interviews that explain the ethics, legalities, and professional standards of the AI sector.

The Learning Journey: What Your Students Will Achieve

Through a rigorous Project-Based Learning (PBL) framework, students master the technical and critical thinking skills required for the 2026 workforce:

Autonomous Programming: Creating algorithms that allow robots to process inputs (sensors) and execute intelligent outputs (actions).
The Engineering Design Process: Analyzing real-world problems, creating smart system solutions, and using iterative testing to improve performance.
Ethics and AI Governance: Understanding the critical relationship between coding, data privacy, and the moral implications of autonomous autonomy.
Professional Portfolio Development: Building a career-ready digital portfolio that demonstrates mastery in robotics, logic modeling, and systems engineering.

Launch Your Future-Ready Robotics Program Today

The "Staffing Crisis" shouldn't stop your students from accessing the careers of tomorrow. With CTeLearning, you have the professional simulators, the industry-validated standards, and the "Legendary Teacher Support" to help your district lead the way in STEM education.

Request Your Free Demo Today and see how easy it is to bring Artificial Intelligence and Mobile Robotics to your classroom.

Request Your Free Demo

What Teachers Can Expect Their Learners to Achieve
- Solid understanding of the basics of inputs, outputs and process.
- How to look at a real-world issue, analyze and create a smart system to solve the problem.
- How to create algorithms and code robot solutions
- Recognize what it takes to be a professional in the industry.
- Understand the fundamental relationship between coding, intelligence and behaviors.
- There is no perfect design and be able to analyze, test and critically review their work and use feedback to improve.
- How to present a solution to a client.
- How to apply the Engineering and Problem Solving Process.
- Demonstrate an understanding of professional ethics and web legal issues including privacy, copyright, and information security.
- Create a Portfolio that demonstrates an understanding of robotics and the engineering / design process.
- Understand the trends in robotics and autonomous vehicles.
- Understand the different types of Artificial Intelligence and levels of Autonomy
- Be properly prepared to take on and earn the optional CoA Certificate.
Course Specifications
- Platforms – PC, Mac and Chromebook
- Length – Semester, Year
- Career Cluster – Information Technology/Arts, Manufacturing
- Industry Course Completion Certificate – MS, HS
- Level – Middle School, High School, Post-Secondary
- Course Delivery – Blended Learning, Online
- Student Competitions – Available
- CEUs – Available for Teacher Training
- Prerequisites for Facilitator – None
- Prerequisites for Students – None
- 3rd Party Tools – Coding Tools Free, Requires Robot Kit (mBot by MakeBlock)
Do We Need to Purchase Physical Robots for This Course?

No. We utilize high-fidelity 3D simulators where students can program and test robotic behavior virtually, solving the budget barrier of physical hardware kits.
Do Teachers Need A Background In Robotics Or Coding To Facilitate This Course?

No prior experience in robotics or artificial intelligence is required for instructors or students. The course is built with a "turnkey" approach, providing comprehensive video tutorials and step-by-step guides that empower any educator to lead a high-level STEM classroom. This structure ensures that schools can offer cutting-edge tech education without needing to hire specialized engineers.
What Careers Does The AI and Mobile Robotics Curriculum Prepare Students For?

Students develop a professional portfolio that demonstrates their ability to solve complex problems using autonomous systems. This prepares them for a wide range of high-demand careers in 2026 and beyond, including roles in automated manufacturing, drone technology, AI ethics, and software development. The course serves as a strategic springboard for students looking to pursue advanced degrees or immediate entry into the technical workforce.