COURSE DESCRIPTION

Artificial Intelligence is transforming industries and reshaping the future of technology. Our comprehensive AI course at SAL Institute is designed for students and professionals who want to master the fundamentals and advanced concepts of AI. This course covers machine learning, deep learning, neural networks, and practical applications that will prepare you for a career in one of the most exciting and rapidly evolving fields in technology.

COURSE DETAILS

Qualification Needed: Basic programming knowledge (preferably Python) and understanding of mathematics (linear algebra, calculus) is recommended.

LEVEL OF QUALIFICATION: Intermediate to Advanced

DURATION: 16 Weeks (4 months)

ENTRY REQUIREMENTS

Students should have basic programming knowledge, preferably in Python. Understanding of high school-level mathematics (algebra, calculus) is recommended. For beginners, we offer a preparatory Python course to get you up to speed.

COURSE MODULES

• Module 1: Introduction to AI - History, Concepts, and Applications
• Module 2: Python for AI - NumPy, Pandas, and Data Manipulation
• Module 3: Mathematics for AI - Linear Algebra, Calculus, and Statistics
• Module 4: Machine Learning Fundamentals - Supervised and Unsupervised Learning
• Module 5: Regression and Classification Algorithms
• Module 6: Neural Networks and Deep Learning
• Module 7: Convolutional Neural Networks (CNNs) for Computer Vision
• Module 8: Natural Language Processing (NLP) and Text Analysis
• Module 9: Reinforcement Learning and AI Ethics
• Module 10: Capstone Project - End-to-End AI Solution Development

TOOLS AND TECHNOLOGIES

Throughout the course, you'll work with industry-standard tools and libraries including:

• Python programming language
• TensorFlow and Keras for deep learning
• Scikit-learn for machine learning
• PyTorch for advanced neural networks
• Jupyter Notebooks for experimentation
• OpenCV for computer vision applications

CAREER OPPORTUNITIES

After completing this course, you'll be prepared for various roles including:

• AI Engineer
• Machine Learning Engineer
• Data Scientist
• Computer Vision Engineer
• NLP Specialist
• AI Research Scientist (with further education)

WHY CHOOSE AI?

Artificial Intelligence is one of the fastest-growing fields with applications across industries including healthcare, finance, automotive, and entertainment. The demand for AI professionals is skyrocketing, with companies like Google, Microsoft, Amazon, and Tesla leading the way in AI innovation. AI skills are among the highest-paying in the tech industry.

PROGRESSION

This qualification can lead to advanced AI specializations, Master's programs in AI/Data Science, research positions, or preparation for AI certification exams. You can also explore specialized tracks in Computer Vision, Natural Language Processing, or Reinforcement Learning.