Data Analytics

Description

Course Information

Course Code: PNI-AI-104

Duration: 6 Weeks

Delivery Mode: Classroom, Live Online, Hybrid, and Corporate Training

Course Overview

This course provides comprehensive training in Artificial Intelligence through structured lessons, instructor-led laboratory sessions, and real-world AI development projects. Participants will gain practical experience in machine learning, natural language processing, computer vision, intelligent automation, and AI-powered business solutions while developing the skills required to design, implement, and manage AI applications.

Who Should Attend

This programme is ideal for students, IT professionals, software developers, data analysts, career changers, entrepreneurs, business owners, and technology enthusiasts who want to build practical Artificial Intelligence skills and prepare for careers in AI and emerging technologies.

Prerequisites

Participants should possess basic computer skills unless otherwise specified for the course. A basic understanding of programming, mathematics, and data analysis is recommended but not mandatory.

Learning Objectives

The course aims to:

• Develop a comprehensive understanding of Artificial Intelligence concepts, techniques, and applications.
• Build practical skills in machine learning, deep learning, intelligent automation, and AI model development.
• Strengthen knowledge of AI ethics, data preparation, model evaluation, and deployment.
• Prepare learners for advanced professional certification pathways.

Learning Outcomes

Upon successful completion of the programme, participants will be able to:

• Design and implement AI solutions to solve real-world business and technical challenges.
• Develop, train, evaluate, and deploy basic machine learning models.
• Apply AI techniques to data analysis, automation, and decision support.
• Demonstrate an understanding of responsible AI, ethical considerations, and governance.
• Progress to advanced Artificial Intelligence studies and internationally recognized certification programmes.

Practical Laboratory

The programme includes instructor-led laboratory sessions, machine learning model development, AI programming exercises, data analysis projects, intelligent automation activities, and capstone projects that provide hands-on experience using modern AI tools and frameworks.

Assessment

Participants will be evaluated through practical laboratory exercises, quizzes, continuous assessments, project work, case studies, and a comprehensive final practical assessment to measure both theoretical knowledge and practical AI development skills.

Certificate Awarded

Participants who successfully complete the programme will receive the Prestige Nexus Institute Certificate of Completion.

Career Opportunities

Graduates will be prepared for roles such as AI Engineer, Machine Learning Engineer, AI Solutions Developer, Data Scientist, AI Business Analyst, Intelligent Automation Specialist, AI Consultant, Research Assistant, and other Artificial Intelligence and data-driven technology positions.

International Certification Pathway

This programme provides a strong foundation for learners pursuing internationally recognized Artificial Intelligence certifications offered by independent certification organizations. It supports continuous professional development and prepares participants for globally recognized credentials that enhance career opportunities in Artificial Intelligence, machine learning, data science, automation, and digital transformation.