AI+Robotics™
# AT-420
Build the Future with Smart Automation
- AI-Driven Robotics: Apply AI in Deep Learning, Reinforcement Learning, and smart automation
- Real-World Systems: Work with autonomous systems and intelligent agents
- Ethics & Innovation: Learn industry-aligned practices and innovation strategies
- Hands-On Projects: Gain experience designing, optimising, and deploying robotics solutions
Why This Certification Matters
- Demand for Certified AI & Robotics Professionals: Organizations are seeking certified experts who can integrate AI into robotics to optimize processes, enhance automation, and improve operational efficiency
- Risks of Mismanaging AI & Robotics: Poorly managed robotic systems and AI technologies can cause inefficiencies and pose safety risks
- Role of Certification in Robotics Strategy: Certified professionals play a crucial role in developing high-performing, safe, and regulation-compliant robotics strategies
- Career Advantage & Leadership Opportunities: As AI and robotics reshape industries, certification gives professionals a clear edge, preparing them for leadership and advanced roles
Course + Exam Overview
Program Name
AI+ Robotics™
Included
Instructor-led OR Self-paced course + Official exam + Digital badge
Duration
Instructor-Led: 5 days (live or virtual) Self-Paced: 30 hours of content
Prerequisites
Basic knowledge of computer science and statistics, data analysis, fundamental AI/ML concepts, Python and R.
Exam Format
50 questions, 70% passing, 90 minutes, online proctored exam
Delivery
Online labs, projects, case studies
Outcome
Industry-recognized credential + hands-on experience
Who Should Enroll?
- Robotics Engineers: Enhance robotic system design and functionality using AI for automation and control.
- Mechanical Engineers: Integrate AI to optimize robotics systems and improve performance in manufacturing and production.
- AI Specialists: Apply AI techniques to boost the intelligence and autonomy of robotic systems.
- IT Specialists & System Integrators: Implement AI-powered solutions to improve robotics infrastructure and communication systems.
- Students & New Graduates: Build essential skills in AI and robotics to thrive in a fast-growing field with vast opportunities.
Available Dates
Job Roles & Industry Outlook
Industry Growth: Advancing Automation and Smart Machines for Industry 4.0
- The global AI robotics market is projected to grow at a CAGR of 39.1% from 2023 to 2030. (Source: Grand View Research)
- AI-powered robotics is transforming industries such as manufacturing, healthcare, and logistics, driving automation and improving operational efficiency.
- The adoption of AI-enhanced robotics solutions is accelerating, with organizations utilizing AI for real-time monitoring and autonomous systems.
- AI-driven automation is becoming critical for data-intensive industries, streamlining processes and improving operational efficiency across sectors.
- AI in robotics is revolutionizing sectors like agriculture, healthcare, and warehousing by optimizing processes and enhancing decision-making.
Skills You’ll Gain
Robotic Process Automation (RPA)
AI-Powered Control Systems
Machine Learning for Robotics
Robotic Path Planning
Sensor Integration and Data Processing
What You'll Learn
Module 1: Introduction to Robotics and Artificial Intelligence (AI)
- 1.1 Overview of Robotics: Introduction, History, Evolution, and Impact
- 1.2 Introduction to Artificial Intelligence (AI) in Robotics
- 1.3 Fundamentals of Machine Learning (ML) and Deep Learning
- 1.4 Role of Neural Networks in Robotics
Module 2: Understanding AI and Robotics Mechanics
- 2.1 Components of AI Systems and Robotics
- 2.2 Deep Dive into Sensors, Actuators, and Control Systems
- 2.3 Exploring Machine Learning Algorithms in Robotics
Module 3: Autonomous Systems and Intelligent Agents
- 3.1 Introduction to Autonomous Systems
- 3.2 Building Blocks of Intelligent Agents
- 2.3 Statistical Inference
Module 4: AI and Robotics Development Frameworks
- 3.1 Types of Data
- 3.2 Data Sources
- 3.3 Data Storage Technologies
Module 5: Deep Learning Algorithms in Robotics
- 4.1 Introduction to Python for Data Science
- 4.2 Introduction to R for Data Science
Module 6: Reinforcement Learning in Robotics
- 5.1 Data Imputation Techniques
- 5.2 Handling Outliers and Data Transformation
Module 7: Generative AI for Robotic Creativity
- 6.1 Introduction to EDA
- 6.2 Data Visualization
Module 8: Natural Language Processing (NLP) for Human-Robot Interaction
- 7.1 Introduction to Generative AI Tools
- 7.2 Applications of Generative AI
Module 9: Practical Activities and Use-Cases
- 8.1 Introduction to Supervised Learning Algorithms
- 8.2 Introduction to Unsupervised Learning
- 8.3 Different Algorithms for Clustering
- 8.4 Association Rule Learning with Implementation
Module 10: Emerging Technologies and Innovation in Robotics
- 9.1 Ensemble Learning Techniques
- 9.2 Dimensionality Reduction
- 9.3 Advanced Optimization Techniques
Module 11: Exploring AI with Robotic Process Automation
- 10.1 Introduction to Data-Driven Decision Making
- 10.2 Open Source Tools for Data-Driven Decision Making
- 10.3 Deriving Data-Driven Insights from Sales Dataset
Module 12: AI Ethics, Safety, and Policy
- 11.1 Understanding the Power of Data Storytelling
- 11.2 Identifying Use Cases and Business Relevance
- 11.3 Crafting Compelling Narratives
- 11.4 Visualizing Data for Impact
Module 13: Innovations and Future Trends in AI and Robotics
- 12.1 Project Introduction and Problem Statement
- 12.2 Data Collection and Preparation
- 12.3 Data Analysis and Modeling
- 12.4 Data Storytelling and Presentation
Optional Module: AI Agents for Robotics
- 1. Understanding AI Agents
- 2. Case Studies
- 3. Hands-On Practice with AI Agents
Tools You’ll Master
OpenAI Gym
GreyOrange
Neurala
Dialogflow
Prerequisites
- Familiarity with basic concepts of Artificial Intelligence (AI), without the need for technical expertise.
- Openness to generate innovative ideas and concepts, leveraging AI tools effectively in the process.
- Ability to analyze information critically and evaluate the implications of AI and Robotics technologies.
- Readiness to engage in problem-solving activities and apply AI techniques to real-world scenario
Exam Details
Duration
90 minutes
Passing Score
70% (35/50)
Format
50 multiple-choice/multiple- response questions
Delivery Method
Online via proctored exam platform (flexible scheduling)
Exam Blueprint:
- Introduction to Robotics and Artificial Intelligence (AI) – 5%
- Understanding AI and Robotics Mechanics – 6%
- Autonomous Systems and Intelligent Agents – 6%
- AI and Robotics Development Frameworks – 9%
- Deep Learning Algorithms in Robotics – 9%
- Reinforcement Learning in Robotics – 9%
- Generative AI for Robotic Creativity – 9%
- Natural Language Processing (NLP) for Human-Robot Interaction – 9%
- Practical Activities and Use-Cases – 8%
- Emerging Technologies and Innovation in Robotics – 9%
- Exploring AI with Robotic Process Automation (RPA) – 9%
- AI Ethics, Safety, and Policy – 6%
- Innovations and Future Trends in AI and Robotics – 6%
Choose the Format That Fits Your Schedule
What’s Included (One-Year Subscription + All Updates):
- High-Quality Videos, E-book (PDF & Audio), and Podcasts
- AI Mentor for Personalized Guidance
- Quizzes, Assessments, and Course Resources
- Online Proctored Exam with One Free Retake
- Comprehensive Exam Study Guide
- Hands-on Labs
Instructor-Led (Live Virtual/Classroom)
- 5 days of intensive training with live demos
- Real-time Q&A and peer collaboration
- Led by AI Certified Trainers and delivered through Authorized Training Partners
Self-Paced Online
- ~30 hours of on-demand video lessons, e-book, podcasts, and interactive labs
- Learn anywhere, anytime, with modular quizzes to track progress
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Frequently Asked Questions
What is the AI+ Robotics™ Certification about?
- The AI+ Robotics™ Certification provides a comprehensive understanding of the intersection of Artificial Intelligence (AI) and Robotics.
Who should enroll in this certification?
- This certification is ideal for professionals and enthusiasts interested in AI and Robotics, including those with basic familiarity with AI concepts.
What practical skills will I gain from this certification?
- You will gain hands-on experience in building AI models, training neural networks, developing reinforcement learning models.
How will this certification benefit my career?
- This certification will enhance your skills in AI and Robotics, making you a valuable asset in industries adopting automation and AI-driven solutions.
What are the prerequisites for enrolling in the certification?
- Participants should have a basic understanding of AI concepts, be open to generating innovative ideas, have the ability to critically analyze information.
