What is Artificial Intelligence(AI) for begginers start, certification courses, books, AI examples etc.

        Before going to what are ways to learn “Artificial intelligence” if you are a beginner I would like to tell you what is Artificial intelligence and what should be your approach for learning it.

What is AI?

Artificial intelligence is the modern technology to learn in the 21st century. AI makes the use of computer science and programming for making the automatic system that reduces human effort and time.

AI with data science is in demand by offering more than 2M jobs offers. Here I can give you an example for learning AI like we use google assistants, Amazon, and Siri in our daily life and these make our work easier. right? So you could be a part of that system's creation.

AI is the combination of machine learning and deep learning that enables the systems to learn from the patterns.

Now how to get started with AI?

1. Took a place to learn because you are a beginner so you need a proper guidance with the training. (Learnbay’s IBM certified Artificial intelligence course)
2. Pick a particular topic of machine learning like regression, classification, and clustering of supervised learning, unsupervised, or reinforcement learning.
3. Find a solution to any data-driven problem.
4. Improve your solutions by applying different techniques.
5. Collect and share the solutions
6. Make same ML model on different data sets and different ML models on a single dataset.
7. Take part in Kaggle's completions.
8. Take any certification or PG diploma course.

What do you need to learn for Artificial Intelligence as a beginner?

1. Programming language(Python or R).
2. Statistics, probability, Linear algebra, Calculus, discrete maths.
3. Machine learning algorithms
4. Case studies of Machine learning
5. Natural language processing
6. Time-series
7. Deep learning with Tensorflow and Keras
8. Case studies of deep learning
9. Computer vision(Not mandatory )

As you are a beginner, my suggestion is you need to join a training institute where the trainers will guide you on how to learn and implement on python, and how to get more accurate ML and DL model with proper data.

For that, I am recommending you to join Learnbay.

Learnbay has three customized courses and those are:

-Data Science and Artificial Intelligence certification course:

1. This is made for those who have less than 5 years of experience and no experience.
2. This course doesn’t require any prerequisites of programming and domain knowledge.
3. Learnbay provides 10+ real-time industrial projects with the 6–7 months of course.
4. Provide job assistance for individual contributors such as Data analyst, data engineer, ML engineer, AI engineer, data scientist.

-Data science course for managers and leaders:

1. This is for those who have more than 12+ years of experience in any domain.
2. They don't need to know about programming.
3. They provide you 15+ real-time projects with 9 months of course.
4. This course provides job assistance for manager's roles like AI manager, ML manager, Data scientists, data science manager, data science lead, BI manager.

-AI and ML certification course:

• This course is offered to those who have experience of around 6 to 12 years.
• For those who worked in the core IT sectors.
• Learnbay offers 12+ real-time projects.
• Provide job assistance for individual contributors such as Data analyst, data engineer, ML engineer, AI engineer, data scientist.

READ BOOKS AND ARTICLES ON LEARNING ARTIFICIAL INTELLIGENCE

Apart from courses on artificial intelligence, passionate programmers, software developers, and computer science students can also read books on the topic. There are quite a few out there that are both puzzling and incredibly interesting. All of them will help broaden your knowledge on AI and its potential. Here are some good reads to check out.

[PDF] Artificial Intelligence: A Modern Approach, by Stuart J. Russell and Peter Norvig – in the first part, the book teaches readers about intelligent agents. Then it introduces the notion of problem solving, knowledge and reasoning, and more. At the end, it reveals a conclusion that sums up AI’s potential and attempts to change the future of technology.

The AI Revolution: Road to Superintelligence – a very detailed, unbiased article on artificial intelligence that tries to explain some of the most common misconceptions surrounding the artificial intelligence field.

[PDF] Simply Logical: Intelligent Reasoning by Example, by Peter Flach – learn the basics of AI programming. The book is a combination of artificial intelligence, Logic and Prolog. Every technique presented is accompanied by an implementing program, and there are lots of examples to make concepts easier to understand.

[PDF] Practical Artificial Intelligence: Programming in Java , by Mark Watson – targeted at both hobbyists and professional programmers, the book teaches readers how to make AI practical. Each chapter has a learning technique, some theoretical insight about that techniques, and a Java example that can be used to experiment and practice.

[PDF] The Quest for Artificial Intelligence, by Nils J. Nilsson – everything you need to know about artificial intelligence is in this book; from the early beginning (back when AI was a mere concept) up to the present day (pioneers in the industry and today’s AI engineers).

AI EXAMPLES

Artificial intelligence is no longer a product of our imagination. AI is real and we use it daily. Cortana, Siri, and Google Now have become our most valued virtual personal assistants. The gaming industry uses artificial intelligence to create seamless online experiences and the auto industry currently focuses on smart cars that drive themselves. Fraud detection and purchase prediction software programs are artificially intelligent products too. In layman’s terms, your house, bank, smartphone and car all use AI on a daily basis. Some of the things they can do are obvious; others might just fool you into believing that there’s a real brain at the core of your new iPhone. Let’s have a closer look at some of today’s most fascinating examples on artificial intelligence.

Super computer Watson – back in 2011, IBM’s super computer Watson managed to defeat the two best Jeopardy! champions, and collect the grand prize of $1 million. Watson harnesses and processes over 2.5 billion gigabytes daily. The computer’s machine learning capacities perfectly stimulate the human brain, but it is programmed to eliminate errors and biases out of the decision-making scenario. For 2011, Watson was an AI breakthrough.

Self-driving cars – Google came up with its first self-driving car in 2011. Four states in the US – including Washington D.C – were convinced that the autonomous car should be allowed to be tested on the streets. Things have changed a lot since, and increasingly more auto companies gained an interest in the technology. Tesla’s Model S autopilot feature is mind-blowing, and Elon Musk says this is just the beginning.

Amazon Echo – Echo is Amazon’s newest voice-activated smart home device. It is practical and accessible, and it packs a wealth of features and integrations. The compact AI device is a more advanced version of Apple’s Siri. Use it as a voice assistant, send requests and get things done around the house fast and effortless.

Choose a better AI course for your self.