What is our certification development process?

Our certification development process involves rigorous industry analysis, curriculum design by subject matter experts, pilot testing, and continuous updates based on feedback and emerging trends to ensure relevance and effectiveness.

Can I get an AI certification if I don’t have a technical background?

Yes, you can get an AI certification without a technical background. We offer programs designed for individuals with non-technical as well as technical backgrounds, individuals, making AI knowledge accessible to everyone.

What kind of support is available during the course?

We offer extensive support for learners, including access to expert educators, business coaches, and advisors. Additionally, learners benefit from detailed guidance through certifications tailored for AI and blockchain specializations, ensuring comprehensive learning and professional development.

How are the exams conducted?

Exams are conducted online and are designed to validate the candidate's knowledge in AI and Blockchain domains. Exams include multiple-choice questions, case studies, and practical exercises, ensuring a comprehensive assessment of skills.

Are these certifications globally recognized?

Yes, Certifications are globally recognized. They are designed by the industry and subject matter experts and offer comprehensive knowledge on AI and blockchain specializations, covering the industry demands.

Are there any group discounts or corporate training options available?

For group discounts or corporate training, you can reach us at +91 636 447 9991 | 2 | 3 for detailed information.

What are the benefits of role-based certifications?

Role-based certifications provide targeted skills and knowledge, enhancing job performance and career advancement. They demonstrate expertise in specific areas, increase employability, and often lead to higher salaries and better job opportunities. We offer specialized role-based certifications in AI and blockchain, tailored for professionals seeking to advance their careers in these fields with in-demand programs.

Who is involved in the certification development process?

The certification development process involves a team of experts, including educators from leading universities, business coaches, AI subject matter experts, certification strategists, and senior directors of learning and development

How up to date is the course content?

The course content is designed to be up-to-date, reflecting the latest advancements and best practices in AI and blockchain technologies. The certifications offered are continuously updated to ensure relevance in the rapidly evolving tech landscape.

Unlocking AI-Powered Role-Based Program

AI+ Robotics

Globally Recognized Certification: Accepted in over 120 countries

No Technical Barriers: No programming Skills

Flexible Learning Formats

Proctored Online Exams

One-Year free Subscription for upgrading skill

Lead Life with AI

Imagine walking into your office and realizing Al can do 40% of your repetitive tasks for you. How would that change your work?

Al is revolutionizing business, healthcare, marketing, finance, and more. Workforces that integrate Al skills see up to a 40% increase in productivity.

In today's rapidly evolving digital landscape, understanding and leveraging Artificial Intelligence (AI) is no longer optional—it's essential.

Al is expected to contribute $15.7 trillion to the global economy by 2030.

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

Download Brochure

The Power of AI Certification

In today's fast-changing world, Al is reshaping industries, jobs, and career paths.

Al isn't just the future-It's your competitive advantage.

Explore Advantages of Role-Based Certification Over General AI Certification

General Al Certifications

Role-Based AI Certifications

Feature

Focus

Broad Al knowledge

Job-specific Al skills

Industry Relevance

Theoretical concepts

Al training directly applicable to your profession

Career Growth

Limited real-world use

Al expertise that makes you indispensable

Scalability

Designed for individuals

Scalable for teams. & organizations

Key Takeaways of Our Programs

Understand the business and outcomes that can be achieved with AI

Practical Knowledge

Ethical & Responsible AI tracks

Flexible learning formats

Access to high video lessons, assessments, quizzes and upgrades for 1 year after programs

Join a community of like minded professionals who are successfully exploring AI in their organizations

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 essential for industries like automotive and aerospace, improving productivity, safety, and cost-efficiency.
AI in robotics is revolutionizing sectors like agriculture, healthcare, and warehousing by optimizing processes and enhancing decision-making.

Program at a glance:

Program Name:

Delivery Method:

Duration:

Exam Format:

Included:

Outcome:

AI+ Robotics

Self-Paced | Virtual Instructor Led

5 Weeks of Intensive Week-end [ Every Saturday ] Training with Live Demos

50 questions, 70% passing, 90 minutes, online proctored exam

Projects & Case Studies

Industry-recognized credential + hands-on experience

Who is this program for ?

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 enhance 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 succeed in an emerging field with endless growth potential.

What You'll Learn

Algorithm Development and Implementation

Develop skills in implementing Deep Learning and Reinforcement Learning Algorithms, creating adaptive and intelligent robotic systems.

Generative AI for Robotics

Learn to apply Generative AI techniques to enable robots to generate creative solutions for diverse challenges.

Human-Robot Interaction

Master Natural Language Processing (NLP) and other tools to enhance communication between robots and humans.

Practical Robotics Applications

Gain hands-on experience in applying AI to robotic projects through real-world use cases.

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 4: AI and Robotics Development Frameworks

4.1 Python for Robotics and Machine Learning

4.2 TensorFlow and PyTorch for AI in Robotics

4.3 Introduction to Other Essential Frameworks

Module 5: Deep Learning Algorithms in Robotics

5.1 Understanding Deep Learning: Neural Networks, CNNs

5.2 Robotic Vision Systems: Object Detection, Recognition

5.3 Hands-on Session: Training a CNN for Object Recognition

5.4 Use-case: Precision Manufacturing with Robotic Vision

Module 7: Generative AI for Robotic Creativity

7.1 Exploring Generative AI: GANs and Applications

7.2 Creative Robots: Design, Creation, and Innovation

7.3 Hands-on Session: Generating Novel Designs for Robotics

7.4 Use-case: Custom Manufacturing with AI

Module 10: Emerging Technologies and Innovation in Robotics

10.1 Integration of Blockchain and Robotics

10.2 Quantum Computing and Its Potential

Module 8: Natural Language Processing (NLP) for Human-Robot Interaction

8.1 Introduction to NLP for Robotics

8.2 Voice-Activated Control Systems

8.3 Hands-on Session: Creating a Voice-command Robot Interface

8.4 Case-Study: Assistive Robots in Healthcare

Module 11: Exploring AI with Robotic Process Automation

11.1 Understanding Robotic Process Automation and its use cases

11.2 Popular RPA Tools and Their Features

11.3 Integrating AI with RPA

Module 3: Autonomous Systems and Intelligent Agents

3.1 Introduction to Autonomous Systems

3.2 Building Blocks of Intelligent Agents

3.3 Case Studies: Autonomous Vehicles and Industrial Robots

3.4 Key Platforms for Development: ROS (Robot Operating System)

Module 6: Reinforcement Learning in Robotics

6.1 Basics of Reinforcement Learning (RL)

6.2 Implementing RL Algorithms for Robotics

6.3 Hands-on Session: Developing RL Models for Robots

6.4 Use-case: Optimizing Warehouse Operations with RL

Module 9: Practical Activities and Use-Cases

9.1 Hands-on Session-1: Building AI Models for Object Recognition using Python Programming

9.2 Hands-on Session-2: Path Planning, Obstacle Avoidance, and Localization Implementation using Python Programming

9.3 Hands-on Session-3: PID Controller Implementation using Python programming

9.4 Use-cases: Precision Agriculture, Automated Assembly Lines

Module 12: AI Ethics, Safety, and Policy

12.1 Ethical Considerations in AI and Robotics

12.2 Safety Standards for AI-Driven Robotics

12.3 Discussion: Navigating AI Policies and Regulations

Module 13: Innovations and Future Trends in AI and Robotics

13.1 Latest Innovations in Robotics and AI

13.2 Future of Work and Society: Impact of AI and Robotics

Module 14: AI Agents for Robotics

1. What Are AI Agents

2. Key Capabilities of AI Agents in Robotics

3. Applications and Trends for AI Agents in Robotics

4. How Does an AI Agent Work

5. Core Characteristics of AI Agents

6. The Future of AI Agents in Robotics

7. Types of AI Agents

Skills You'll Gain

Robotic Process Automation (RPA)

AI-Powered Control Systems

Sensor Integration and Data Processing

Machine Learning for Robotics

Robotic Path Planning

Tools You’ll Master

Dialogflow

Prerequisites

Familiarity with AI Basics: Understanding of basic AI concepts without the need for technical expertise.
Innovative Mindset: Openness to generating creative ideas and leveraging AI tools for robotics development.
Analytical Skills: Ability to critically analyze information and evaluate the implications of Robotics and AI technologies.
Problem-Solving Readiness: Willingness to engage in real-world scenarios using AI and Robotics techniques.

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

5 Weeks of Intensive Week-end [ Every Saturday ] Training with Live Demos

40 hours of instructor led session with industry expert facilitator
40 hours of on-demand video lessons, e-book, and podcasts

Real-time Q&A and peer collaboration

Led by AI Certified Trainers

Live Instructor Led Sessions

Self-Paced Online

40 hours of on-demand video lessons, e-book, and podcasts

Learn anywhere, anytime, with modular quizzes to track progress

Can be enrolled independently

Interested to know more details

Certificate

Participants who successfully complete the program will receive a verified digital certificate issued by AI Certs. The program follows a pass/fail grading system, requiring a minimum score of 70% to qualify for certification.

Certificates will be delivered via email using the name provided during registration.

Note: The certificate visuals shown are for reference only and may be updated at AI Certs discretion.

What Our Learners Say:

Marc H

Co-Founder

“Happy to share I've completed the AI+ Executive Certification from AI CERTs! This program has sharpened my skills in strategic AI application + implementation, further equipping me to lead AI-driven organizational transformation.."

Widget Didn’t Load

Check your internet and refresh this page.

If that doesn’t work, contact us.

Lead Life Learning, India is in collaboration with AI Certs, New York to offer a portfolio of high impact AI & Blockchain programs. AI Certs is an authorized body to conduct examination and provide globally recognized certificates through its expert accreditation body.