This module covers the basics of Artificial Intelligence (AI), introducing concepts like machine learning and neural networks. Participants will learn how AI algorithms work, focusing on the key components of deep learning and its applications in modern technologies. The module provides foundational knowledge of AI tools and techniques, preparing participants for more advanced roles in AI development and implementation.
This course is specifically designed to provide participants with :
-
Gain an in-depth knowledge of what artificial intelligence is, its historical evolution, and its various applications in today's world.
-
Understand the basics of machine learning, including key concepts, algorithms, and practical applications.
-
Learn about the structure and functioning of neural networks, and explore deep learning architectures such as CNNs and RNNs.
-
Get familiar with popular tools and libraries used in AI and machine learning, and apply them through practical, real-world projects.
-
Discuss the ethical implications of AI, including bias, privacy, and the impact on employment.
MODULE 1 : Introduction to Artificial Intelligence
-
Definition and History.
- What is AI?.
- The history of AI: Key Milestones.
- Turing Test and its significance.
- Narrow AI vs. General AI.
- Strong AI vs. Weak AI. Applications of AI
- AI in healthcare, finance, education, and more.
- Case studies and real-world examples.
- Bias in AI.
- The role of AI in job displacement.
- Privacy concerns and AI regulations.
MODULE 2 : Introduction to Machine Learning
MODULE 3 : 5G NR Call Processing (NSA Mode)
Artificial Intelligence (AI)
-
PRICE (2 Day) Physical
-
PRICE (2 Day) Online