Download Our Latest Course Catalog | Download Now
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Download Our Latest Course Catalog | Download Now
This course is for professionals who want to connect software, machines, and logic in a way that actually works. You’ll learn how robots sense their environment, make decisions, and move reliably. From basic programming to control systems and object detection, this course helps you build robots that solve real problems.
The course focuses on how machines can interact with the world without breaking down, going off-track, or misreading data. You’ll explore sensors, movement control, task planning, and how to connect different systems.
Whether you’re building machines for factories, labs, warehouses, or outdoor settings, you’ll learn how to make them do their job without constant tweaking.
Solid understanding of Python or C++
Familiarity with basic math and programming logic
Interest in machines, mechanics, or embedded systems
No prior robotics experience required
Developers building systems for physical environments
Engineers working on automation or embedded systems
Students or researchers doing hands-on robotics work
Product teams building smart hardware
Consultants involved in robotics integration
1. Can the course be taken online?
Yes. The course is available as a virtual instructor-led session with live teaching and hands-on labs.
2. Is in-person training available?
Yes. In-person sessions can be arranged at certified training centers or as private sessions for institutions or corporate teams.
3. Will I receive official course materials?
Yes. All participants receive electronic access to course materials. Printed versions are available upon request.
4. Is there a certificate of completion?
Yes. Upon successful completion of the course, participants will be awarded an AI CERTs official certificate.
Module 1: Introduction to Robotics and Artificial Intelligence (AI)
Overview of Robotics: Introduction, History, Evolution, and Impact
Introduction to Artificial Intelligence (AI) in Robotics
Fundamentals of Machine Learning (ML) and Deep Learning
Role of Neural Networks in Robotics
Module 2: Understanding AI and Robotics Mechanics
Components of AI Systems and Robotics
Deep Dive into Sensors, Actuators, and Control Systems
Exploring Machine Learning Algorithms in Robotics
Module 3: Autonomous Systems and Intelligent Agents
Introduction to Autonomous Systems
Building Blocks of Intelligent Agents
Case Studies: Autonomous Vehicles and Industrial Robots
Key Platforms for Development: ROS (Robot Operating System)
Module 4: AI and Robotics Development Frameworks
Python for Robotics and Machine Learning
TensorFlow and PyTorch for AI in Robotics
Introduction to Other Essential Frameworks
Module 5: Deep Learning Algorithms in Robotics
Understanding Deep Learning: Neural Networks, CNNs
Robotic Vision Systems: Object Detection, Recognition
Hands-on Session: Training a CNN for Object Recognition
Use-case: Precision Manufacturing with Robotic Vision
Module 6: Reinforcement Learning in Robotics
Basics of Reinforcement Learning (RL)
Implementing RL Algorithms for Robotics
Hands-on Session: Developing RL Models for Robots
Use-case: Optimizing Warehouse Operations with RL
Module 7: Generative AI for Robotic Creativity
Exploring Generative AI: GANs and Applications
Creative Robots: Design, Creation, and Innovation
Hands-on Session: Generating Novel Designs for Robotics
Use-case: Custom Manufacturing with AI
Module 8: Natural Language Processing (NLP) for Human-Robot Interaction
Introduction to NLP for Robotics
Voice-Activated Control Systems
Hands-on Session: Creating a Voice-command Robot Interface
Case-Study: Assistive Robots in Healthcare
Module 9: Practical Activities and Use-Cases
Hands-on Session-1: Building AI Models for Object Recognition using Python Programming
Hands-on Session-2: Path Planning, Obstacle Avoidance, and Localization Implementation using Python Programming
Hands-on Session-3: PID Controller Implementation using Python Programming
Use-cases: Precision Agriculture, Automated Assembly Lines
Module 10: Emerging Technologies and Innovation in Robotics
Integration of Blockchain and Robotics
Quantum Computing and Its Potential
Module 11: Exploring AI with Robotic Process Automation
Understanding Robotic Process Automation and its Use Cases
Popular RPA Tools and Their Features
Integrating AI with RPA
Module 12: AI Ethics, Safety, and Policy
Ethical Considerations in AI and Robotics
Safety Standards for AI-Driven Robotics
Discussion: Navigating AI Policies and Regulations
Module 13: Innovations and Future Trends in AI and Robotics
Latest Innovations in Robotics and AI
Future of Work and Society: Impact of AI and Robotics
Optional Module: AI Agents for Robotics
What Are AI Agents
Key Capabilities of AI Agents in Robotics
Applications and Trends for AI Agents in Robotics
How Does an AI Agent Work
Core Characteristics of AI Agents
The Future of AI Agents in Robotics
Types of AI Agents
At DataCipher, we offer a variety of payment options for our Fortinet courses. Here are the methods available:
Purchase Order (PO) – If your organization prefers using a purchase order, begin the registration process by clicking the Register button. At the conclusion of the registration form, choose the option “My company will pay for it, please send an invoice with the payment details.” Our training team will then provide an official quote and any necessary additional information that your accounts department might need to issue the PO.
Bank Transfer – DataCipher maintains bank accounts in both the US and Europe, accommodating all standard bank transfer methods such as IBAN/BIC, Swift, ACH, or wire transfer. To make a payment via bank transfer, simply use the Register button to sign up for your selected course.
Credit Card Payments – We accept payments from all major credit cards, including Mastercard, VISA, American Express, Discover & Diners, and Cartes Bancaires. Payments can be made directly through the registration link or by requesting an invoice that includes a web link for online payment. All transactions are secure, and DataCipher does not store any credit card information.
These options are designed to make the registration process as smooth and flexible as possible for all participants.
Guaranteed to Run – DataCipher is committed to running this class unless unforeseen events such as an instructor’s accident or illness occur.
Guaranteed on Next Booking – The course will proceed once an additional student registers.
Scheduled Class – We have scheduled this course and rarely cancel due to low enrollment. We offer a “Cancel No More Than Once” guarantee, ensuring that if a class is canceled due to insufficient enrollment, the next session will run regardless of the number of attendees.
Sold Out – If the class is fully booked, please use our contact form to join the waiting list or to inquire about additional sessions. We’re here to accommodate your training needs and keep you informed of new opportunities.
At DataCipher, we offer our training courses in both traditional full-day and convenient half-day formats. Our half-day classes are specifically designed for IT professionals who cannot be away from their workplaces for consecutive full days. This flexible schedule allows participants to dedicate a few hours to learning and then return to their regular work responsibilities.
The curriculum for both the full-day and half-day formats is identical. The primary difference is that the half-day classes spread the coursework over a more extended period, providing a balanced approach to professional education. DataCipher has been successfully running these half-day training sessions for several years, receiving consistently positive feedback from our customers. They appreciate the flexibility and report that the extended timeframe facilitates a deeper understanding of the material, as it gives them more time to absorb and reflect on the information learned.
Testimonials
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