AI has found application in a variety of domains and sectors. In healthcare sector, AI helps in medical diagnosis and patient monitoring. AI is used in financial field for fraud detection, algorithmic trading and risk assessment. AI is used in retail sector and e-commerce for supply chain efficiency, demand forecasting and tailored suggestions. AI contributes to manufacturing through quality assurance, predictive maintenance and process enhancement. In education sector, intelligent tutoring systems, adaptive learning platforms, and educational data analysis use AI. The potential of AI is vast and it is revolutionizing businesses by streamlining processes, expanding efficiency and automating decisions.

IoT (Internet of Things) refers to the interconnected network of physical devices, vehicles, buildings, and other objects embedded with sensors, software, and network connectivity, allowing them to collect and exchange data with each other and centralized systems over the internet. In essence, IoT involves everyday objects becoming "smart" and capable of communication and interaction.
Key components of IoT include:

Devices and Sensors:

These are the physical objects equipped with various sensors (such as temperature, humidity, motion, or GPS) that gather data from the environment or device itself.

Connectivity:

IoT devices are connected to the internet, either via Wi-Fi, cellular networks, Bluetooth, or other communication protocols, allowing them to transmit data to centralized servers or other connected devices.

Data Processing:

Collected data is processed, often in the cloud, where it can be analyzed, interpreted, and used to derive insights or trigger actions.

User Interface:

Users can often access IoT data through applications or dashboards, enabling them to monitor and control IoT devices remotely.

Automation and Control:

IoT systems can be designed to automate processes and make decisions based on the data they collect. For example, smart thermostats can adjust the temperature based on occupancy and weather conditions.

AI is a versatile tool that enhances the gaming experience by making games more challenging, engaging, and immersive. In this orientation module, we talk about how technology has made games more realistic. Different AI techniques viz. 3D visualisation technique, Virtual Reality and Augmented Reality will be discussed in detail.

Alexa's Intelligence is a combination of various technologies that work together to create a virtual assistant capable of understanding and responding to voice commands. The video lecture showcases how AI has been integrated into consumer technology to make interactions with devices more intuitive and user-friendly.

In one of the video lectures, we talk about Google Maps, one of the world's most widely used applications for navigation purposes. The application of AI enables Google Maps to provide users with a personalised experience, accurate real-time traffic prediction and voice-enabled interface in many languages suitable even for differently abled persons.

The video lecture on Digital Marketing discusses various online marketing channels that promote or create brand awareness among customers through various modes.

Facial recognition is a technology that involves identifying and verifying individuals based on their facial features. While there are concerns about privacy and the ethical use of facial recognition technology, when used appropriately, it can be a valuable tool for keeping people and property safe.

Virtual assistants like Alexa, Siri and Google Assistants can connect and communicate with each other, that enables us to control our home appliances like smart refrigerator, lights and security systems, making our home more smart and secure. Furthermore, fitness trackers and smart watches help us to monitor our fitness schedule and health.

Robots are helpful in almost every field like industries, education, agriculture, medical, entertainment, security, household chores, assistance etc. In one of the videos. We will discuss about robots, their types, importance, advantages, disadvantages and other related details.

AI is transforming the education sector by assisting teachers through smart content creation so that they can devote more time to instruction and student interaction. AI also improves students' learning experiences by offering more personalized learning opportunities. With the objective of acquainting teachers with these new techniques, in one of the video lectures, we will discuss some of the AI tools available for teaching and learning.

The knowledge of fundamentals of computer like operating systems, programming languages, memory and storage etc is vital for grasping the hardware requirements of AI systems and their impact on AI's performance and scalability. Computer fundamentals provide the foundational knowledge and skills required to design, develop and deploy AI systems effectively.

Algorithms and data are used by AI systems to automate processes, make predictions and continuously improve. In order to train models and make decisions, machine learning and deep learning algorithms require an abundance of data, which is why in one of the video lectures, we tell you about data, information, knowledge and algorithms as a vital component of AI.

Knowledge of programming languages is vital for deploying AI solutions, whether as web services, mobile apps, or embedded systems. It empowers AI practitioners to create, manipulate and deploy AI models in a meaningful way. Proficiency in programming languages is a foundational element of AI literacy and a valuable skill for anyone seeking to work with artificial intelligence.

Computer networks are an integral part of modern communication and information exchange. In two video lectures, we will explore the fundamental concepts and components that make up these networks. AI technologies are increasingly being integrated into computer networks to enhance their efficiency, security and management. However, they also raise important considerations about privacy, ethics and the need for skilled professionals to manage and maintain AI-enhanced network infrastructures.

Now that AI is increasingly becoming a part of most products and services, organizations are contemplating AI codes of ethics. Ethics develop a sense of right and wrong and many a time when the law fails, ethics may succeed. As we integrate AI systems into our daily life, it also becomes necessary to address the potential biases they might show. Bias in AI algorithms can result in unfair and discriminating outcomes. So, the need to talk about ethics and biases of AI and responsible use of this emerging technology.