ARTIFICIAL INTELLIGENCE

ARTIFICIAL INTELLIGENCE Course Details

Artificial intelligence (AI) is a branch of computer science dedicated to creating systems capable of performing tasks that typically require human intelligence, such as learning, reasoning, problem-solving, perception, and decision-making. It uses algorithms and vast data to identify patterns, enabling machines to act autonomously, enhance productivity, and improve over time.

                                                                    
                                                                      Duration:
                                                                    6 months

                                                                    
                                                                    Eligibility:
                                                                    ELIGIBILITY: Plus Two or equivalent examination recognized by this University with other subjects under Part III optional subjects provided they have secured 45% of the aggregate marks.

Job Sector

Technology & Software: Development of AI frameworks, cloud AI services, and, tools.
Healthcare: AI for diagnostics, personalized treatment, and medical research.
Finance: Algorithmic trading, fraud detection, and automated customer service.

Manufacturing: Robotics, predictive maintenance, and quality control.
Automotive & Transportation: Autonomous vehicles and traffic management

Job Role

Machine Learning Engineer: Builds and deploys AI models that learn from data, focusing on production environments.
Data Scientist: Analyzes and interprets complex data sets to inform AI-driven business decisions.
AI Research Scientist: Develops new algorithms and advances AI theory, often requiring advanced degrees.
AI Software Engineer/Developer: Integrates AI capabilities into software applications.
Robotics Engineer: Designs and develops AI-powered robots and automation systems.

NLP Engineer: Specializes in Natural Language Processing, enabling machines to understand human language.
Computer Vision Engineer: Solves real-world problems using computer vision and image data.
AI Product Manager: Defines product strategy and bridges technical teams with business goals
. AI Ethics Specialist: Ensures AI applications are fair, transparent, and compliant with regulations.

35 Minutes

Instructors

Jhon Pedrocas

Professor

Jhon Pedrocas

Professor

35 Minutes

Stephane Smith

4.5 256 Reviews

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