Attribute	Detail
Format	Recorded Lectures
Level	Advanced
Duration	3 Days (60-90 Minutes each day)
Certification	e-Certification + e-Marksheet
Fee	Free
Tools	Python TensorFlow PyTorch Keras Scikit-learn Jupyter Notebook Google Colab Hugging Face

About the Industry 5.0: Hands-on AI in Manufacturing Course

Join the Industry 5.0: Hands-on AI in Manufacturing course to explore AI applications in predictive maintenance, process optimization, and robotics.

Over three days, gain practical experience using tools like Google Colab, TensorFlow, and OpenAI Gym. Learn to build AI models for real-world manufacturing challenges and collaborate on sustainable, AI-driven solutions.

Program Highlights

• Comprehensive coverage of Industry 5.0 from fundamentals to advanced applications

• Hands-on projects and real-world case studies in Artificial Intelligence

• Expert-curated curriculum aligned with current industry standards

• Access to recorded lectures and e-LMS platform for flexible, self-paced learning

• e-Certification and e-Marksheet upon successful completion

• Dedicated mentor support and interactive doubt-clearing sessions

• Exposure to industry-standard tools and platforms used in Artificial Intelligence

• Career-oriented training for academic and professional growth in Artificial Intelligence

Course Curriculum

Module 1: Introduction to Industry 5.0

Overview and historical evolution of Industry 5.0
Key terminology, definitions, and core concepts in Artificial Intelligence
Current industry landscape, trends, and career opportunities
Setting up the learning environment and essential tools

Module 2: Fundamentals and Theoretical Foundations

Core principles and scientific/theoretical underpinnings of Industry 5.0
Mathematical and analytical frameworks relevant to Artificial Intelligence
Comparative analysis of major approaches and methodologies
Understanding key standards, guidelines, and best practices

Module 3: Hands

Core concepts and techniques in Hands
Practical implementation and hands-on exercises
Integration of Hands with Industry 5.0 workflows
Case study: Real-world application of Hands

Module 4: on AI in Manufacturing

Core concepts and techniques in on AI in Manufacturing
Practical implementation and hands-on exercises
Integration of on AI in Manufacturing with Industry 5.0 workflows
Case study: Real-world application of on AI in Manufacturing

Module 5: Neural Networks

Introduction to Neural Networks concepts and methodologies
Step-by-step practical implementation of Neural Networks techniques
Tools and platforms commonly used for Neural Networks
Troubleshooting, optimization, and best practices

Module 6: Advanced Topics and Emerging Trends in Artificial Intelligence

Cutting-edge research and innovations in Industry 5.0
Integration with AI, automation, and modern technologies
Industry case studies and real-world problem solving
Future directions and career pathways in Artificial Intelligence

Module 7: Capstone Project and Assessment

End-to-end project implementation using Industry 5.0 skills
Peer review, collaborative exercises, and expert feedback
Portfolio-ready project documentation and presentation
Final assessment and course completion evaluation

Tools, Techniques, or Platforms Covered

Python TensorFlow PyTorch Keras Scikit-learn Jupyter Notebook Google Colab Hugging Face

Real-World Applications

Apply Industry 5.0 skills directly to academic research, thesis work, and publications
Build a professional portfolio showcasing practical Artificial Intelligence competencies
Solve industry-relevant problems using Industry 5.0 methodologies and tools
Contribute to open-source projects and collaborative research in Artificial Intelligence
Prepare for competitive examinations, interviews, and professional certifications in Artificial Intelligence

Who Should Attend & Prerequisites

Students pursuing degrees in Artificial Intelligence, science, engineering, or related disciplines
Working professionals seeking to upskill or transition into Artificial Intelligence roles
Researchers and academicians looking to adopt modern techniques in Artificial Intelligence
Entrepreneurs, freelancers, and self-learners interested in practical Artificial Intelligence knowledge

Prerequisites: Prior experience with Artificial Intelligence fundamentals or a related discipline is recommended. Basic programming knowledge may be helpful depending on the course modules.

Certification