Course Outcome

• Understand the core concepts and types of Artificial Intelligence.

• Build and train machine learning and deep learning models using real-world data.

• Apply AI in fields such as image recognition, language processing, and predictive analytics.

• Work with AI tools and libraries like TensorFlow, Keras, OpenCV, and NLTK.

• Analyze datasets and make intelligent predictions using supervised and unsupervised learning.

• Solve practical business problems using AI-driven approaches.

• Build a strong portfolio of AI projects to showcase to potential employers.

• Stay informed about ethical AI practices and emerging AI trends.

Course Duration

6 Months

Career Options

• AI Engineer

• Machine Learning Engineer

• Data Scientist

• Deep Learning Specialist

• Computer Vision Engineer

• Natural Language Processing (NLP) Engineer

• Data Analyst with AI Focus

• AI Research Assistant

• Business Intelligence Developer

• Automation Specialist