Skills required to become an AI engineer.

 Hello Friends welcome back to the new blog and learn new things.

Skills Required to Become an AI Engineer

1. Programming Skills : The first skill required to become

an AI engineer is programming. For this, it’s crucial to

learn programming languages, such as Python, R, Java, and C++ to build and implement models. 

2. Linear Algebra, Probability, and Statistics: To

understand and implement different AI models, you must

have detailed knowledge of linear algebra, probability, and statistics. 

3. Spark and Big Data Technologies: AI engineers work

with large volumes of data, which could be streaming or

real-time production level data in terabytes or petabytes. For such data, these engineers need to know about Spark

and other big data technologies to make sense of it. 

4. Algorithms and Frameworks: Understanding how

machine learning algorithms like linear regression, KNN, Naive Bayes, Support Vector Machine, and others work

will help you implement machine learning models with

ease. Additionally, to build AI models with unstructured

data, you should understand deep learning algorithms

and implement them using a framework.

 5. Communication and Problem-solving Skills: AI

engineers need to communicate correctly to pitch their

products and ideas to stakeholders. They should also

have excellent problem-solving skills to resolve obstacles

for decision making and drawing helpful business insights. 

6. Necessary Business Skills: The following are some of

the business skills required to be a successful AI engineer: → Creative thinking → Effective communication → Analytic problem-solving skills → Industry Knowledge

1.8 Other Emerging Technologies

1. The Internet of Things (IoT):

Refers to a system of interrelated, internet-connected

objects that are able to collect and transfer data over a

wireless network without human intervention. The Internet of things describes the network of physical

objects—“things”—that are embedded with sensors, software, and other technologies for the purpose of

connecting and exchanging data with other devices and

systems over the Internet.

It enables devices to interact, collaborate and, learn from

each other’s experiences just like humans do.

IoT Examples:

 Smart Home security systems

 Smart Wearables health monitors

 IoT in agriculture

 Smart Speakers (Amazon Echo Dot: Alexa)

 Smart Cities

 Smart Door Locks

2. Cloud Computing:

Cloud computing is the on-demand availability of

computer system resources, especially data storage

(cloud storage) and computing power, without direct

active management by the user. The term is generally

used to describe data centers available to many users

over the Internet. Types of Cloud Computing

1. Public Cloud – Whole computing infrastructure is

located on the premises (sites) of a cloud

computing company that offers the cloud service. 

2. Private Cloud – Hosting all your computing

infrastructure yourself and is not shared. The

security and control level is highest while using a

private network. 

3. Hybrid Cloud – using both private and public clouds, depending on their purpose. You host your most

important applications on your own servers to

keep them more secure and secondary

applications elsewhere. 

4. Community Cloud – A community cloud is shared

between organizations with a common goal or

that fit into a specific community (professional

community, geographic community, etc.). 3. Blockchain:

A blockchain is a peer-to-peer distributed ledger

technology. Which is an immutable, decentralized, encrypted, distributed ledger technology. The name comes from its structure, in which individual

records, called blocks, are linked together in single list, called a chain. Blockchains are used for recording

transactions made with cryptocurrencies, such as Bitcoin, and have many other applications. Each transaction added to a blockchain is validated by

multiple computers on the Internet (Miners). These

systems form a peer-to-peer network. Applications of Blockchain: Cryptocurrency, Smart