OBERON GLOBAL SOLUTIONS PVT LTD

SYLLABUS - ARTIFICIAL INTELIGENCE TRAINING

Foundations of Artificial Intelligence (Months 1-3):

1. Introduction to AI:

• Overview of AI, its history, and current trends.

• Understanding the different branches of AI.

2. Mathematics and Statistics for AI:

• Linear algebra, calculus, and probability theory.

• Statistical methods and their applications in AI.

3. Programming Fundamentals:

• Python programming language.

• Data structures and algorithms.

Core AI Concepts and Techniques (Months 4-6):

1. Machine Learning:

• Supervised learning, unsupervised learning, and reinforcement learning.

• Feature engineering, model evaluation, and hyperparameter tuning.

2. Deep Learning:

• Neural networks architecture and design.

• Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), and deep learning frameworks (e.g., TensorFlow, PyTorch).

3. Natural Language Processing (NLP) and Computer Vision:

• Understanding and processing human language.

• Image and video analysis using AI.

Specialized AI Applications (Months 7-9):

1. AI in Healthcare:

• Medical imaging analysis.

• Predictive analytics in healthcare.

2. AI in Finance:

• Algorithmic trading.

• Fraud detection and risk management.

3. AI in Autonomous Systems:

• Autonomous vehicles and drones.

• Robotics and industrial automation.

Advanced Topics and Emerging Trends (Months 10-12):

1. Reinforcement Learning and Generative Models:

• Advanced machine learning techniques.

• GANs (Generative Adversarial Networks) and RL (Reinforcement Learning).

2. Ethical and Social Implications of AI:

• Understanding bias and fairness in AI.

• AI ethics and responsible AI development.

3. AI Project and Capstone (Months 11-12):

• Working on a real-world AI project.

• Collaboration, project management, and presentation skills.

Practical Experience and Internship (Optional):

• Integration of practical experiences through internships or industry projects.

Assessment and Certification:

• Regular assessments, quizzes, and a final project evaluation.

• Certificate of completion.

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