Learn Basic of Artificial intelligence.

 Now is the perfect time to learn AI and start implementing its ethics in your career. If you’re a beginner, it is wise to follow the following steps:

• Start with basics:

Begin with learning about various technologies involved and their objectives through various books and blogs. This can be the first step towards your orientation.

• Enrol into webinars:

Webinars have proved to be beneficial for every beginner. It will give you an insight into the industry you’re willing to enter, application of various technologies and it’s effect in your real life. This helps to see the world through the eyes of AI.

• Well-guided course:

Let’s be honest, it is impossible to learn the ethics and disciplines of AI without guidance from industry experts and coaches. A guided course will help you dive deep into the world of AI. It will help you add a finishing touch to the basics you’ve taken care of and then help you with the right technical skills to work in AI. If you’re willing to join an industry then a guided course with certification is mandatory.

• Industry Projects:

It is important that the lessons you learn today should stay with you till forever. And hence it is essential to indulge in lots of projects and gain practical exposure as much as you can. This will also help you add brownie points on your resume. For every beginner, this is the baby step that you can take to ensure your first break. And most importantly it will help you find some time to process the transition between each step and prepare for the next one.

Let’s first disabuse ourselves of some wrong-headed notions:

1. AI is not and never has been a subfield of anything, least of all mundane and (in my mind, boring) topics like software engineering (no offense to the wonderful number of people who do SE, but it has never been my cup of tea! To each his/her own, and I’m sure plenty of SE people feel this way about AI). There is absolutely no need to write code to understand AI, at least at the beginning. Far from being helpful, it can actually be discouraging. What you need to do, first and foremost, is understand the problem.
2. AI is one of mankind’s great quests, to build a machine that in some way resembles us, to try to capture our wondrous abilities at managing the immense amount of information that filters through our sensors. Every time you read a newspaper or lift your hand to grab a cup of coffee (perhaps while you are reading this article), you are accomplishing a task that most machines cannot do, and even worse, the best minds of a generation have still not figured out how to get a machine to do.
3. AI is, in short, attempting to reverse engineer the human brain. We understand the universe in many ways, from the largest scale of galaxies to the tiniest scale of bosons and fermions. We understand life and heredity, the double helical structure of DNA. It is an unceasing source of embarrassment that we don’t understand ourselves at the most basic level. When you recognize your mother, how precisely do you do it? What information is stored in your head that makes you recognize your mother, your spouse, your pet, your boss, a car, and a million other things that make up your life? We don’t know. All we know is that millions of years of evolution have equipped our brains with some marvelous way of extracting information from noisy high dimensional sensors (eyes, ears, touch, etc). Despite our best efforts, we still have very little understanding of how the brain accomplishes any of the significant tasks that makes us human.
4. A 3 year old child can do with ease the most amazing tasks that no machine has never been able to do, not all the vast computing power that a Google or Amazon can muster, with all their vast petabytes of storage and banks of supercomputers. Every normal child can learn a language (ANY language) by simply being embedded in a culture where people are speaking that language. A child is NOT taught a language. Unlike the au courant fashion of deep learning, no child is given vast hard drives of annotated language and asked to memorize it day in day out. No, as Einstein put it so eloquently, “Subtle is the Lord”. Nature is ever so cleverer than humans are, and has devised a magical learning machine in a child’s head that gives her or him the capacity of learning language. 50 years of intensive research have led us no closer to cracking this mystery of mysteries.
5. Above all, to learn AI, you must first develop an appreciation for the problem we are trying to solve, the great challenge that lies before us. Don’t write a line of code, please, and don’t waste your precious brain on learning some silly APIs. What we need most of all in AI are thinkers, not programmers. We need people with imagination (my favorite research topic these days). We need young minds to help us solve the greatest scientific challenge mankind has ever faced: decoding how our brains work.
6. If you feel an urge to program, pick the most basic of skills, say face recognition. Try writing a program that takes someone’s face and identifies it. Or someone’s voice and recognizes it. Or takes a sentence in English or Chinese or Japanese or Portuguese, and explains what it means. In short, take any task that you do thousands of times a day without effort, without a moment’s thought, without hesitation. You will rediscover what a generation of AI researchers have discovered before you. In between your ears lies the most amazing computer ever designed, and we are mostly ignorant of how it works.

Mainly in Artificial Intelligence need Basic Programming Languages and maths and Algorithms .

You Need to learn Python and R Programming . These are the Best Resources …

And you Need some Maths Background ..

Main Concepts in maths

• Statistics & Probability
• Calculus
• Algebra

Then you may learn Algorithms

Now you completed main Basics of AI .. Now you can learn Artificial Intelligence …. For your convenience i can suggest you

Best Artificial Intelligence Online Courses:

• Artificial Intelligence A-Z™: Learn How To Build An AI
• Artificial Intelligence: Reinforcement Learning in Python

Choose the first course..

From this course you may learn about:

1. Complete beginner to expert AI skills – Learn to code self-improving AI for a range of purposes. In fact, we code together with you. Every tutorial starts with a blank page and we write up the code from scratch. This way you can follow along and understand exactly how the code comes together and what each line means.

2. Code templates – Plus, you’ll get downloadable Python code templates for every AI you build in the course. This makes building truly unique AI as simple as changing a few lines of code. If you unleash your imagination, the potential is unlimited.

3. Real-world solutions – You’ll achieve your goal in not only 1 game but in 3. Each module is comprised of varying structures and difficulties, meaning you’ll be skilled enough to build AI adaptable to any environment in real life, rather than just passing a glorified memory “test and forget” like most other courses. Practice truly does make perfect.

And also..

• Build an AI
• Understand the theory behind Artificial Intelligence
• Make a virtual Self Driving Car
• Make an AI to beat games
• Solve Real World Problems with AI
• Master the State of the Art AI models

ALL THE BEST...