Artificial Intelligence (AI) is a branch of computer science focused on creating intelligent machines that simulate human intelligence through learning, reasoning, and self-correction. The course covers fundamental AI concepts including intelligent agents, search algorithms (uninformed, informed, brute force, adversarial), knowledge representation (propositional logic, first-order logic, rule-based systems), probabilistic reasoning (naive Bayes, Markov models), machine learning types (supervised, unsupervised, reinforcement), neural networks (feedforward, convolutional, recurrent), and practical applications in healthcare, blockchain, and IoT. The certification exam is one hour long with 100 marks, requiring 60+ to pass, with three retakes allowed after one day.
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Prerequisite Knowledge
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Deep Dive
Certified Artificial Intelligence (AI) Expert | Learn AI & Real-World ApplicationsAdded:
hello everyone welcome to the session on certified artificial intelligence AI expert this course is primarily for those people who want to begin learning about AI technology it covers all the details regarding AI challenges generally faced while adapting Ai and some basic concepts of machine learning deep learning and neural networks along with some small Hands-On projects it will help you understand the AI ecosystem and its components so that you can begin building your AI applications at the end of this course we will conduct an exam the enrollment for which is optional if you take the exam you will get a certified artificial intelligence AI expert certificate so what is artificial intelligence artificial intelligence or AI is the area of computer science that emphasizes the creation of intelligent machines that work and react like humans it is the simulation of human intelligence methods by computer systems and these processes include learning reasoning and self-correction the aim of this program is to understand Ai and its underlying Concepts hence it covers the basics of AI different probability Concepts knowledge representation along with some of the use cases that show how AI is currently changing the face of Technology this course is for professionals from all walks of life if you are a developer an architect or even a software engineer it will be useful to you for creating AI Solutions also if you are working in sales and marketing you can use the knowledge from this course to implement Solutions within your organization or amongst your customers this course is also beneficial to University professors engineering and management students programmers and developers software engineers and Architects CTO CMO Cho or any other professional one of the most significant benefits of taking this course is that there is a massive market for AI right now because AI has the power to change our world it will play a meaningful role in the future and there is expected to be a significant amount of money flowing through the market in the upcoming years over half of the major new business systems and processes will incorporate AI Elements by 2020. the impact on corporate business models and consumers lives is increasing rapidly as the amount of adaptation of physical things with sensors and connecting them to other devices systems and people continue to drop coming to the requirements to enroll in this course you need to have an elementary knowledge of computer science if you have some basic understanding of terms like clustering machine learning and neural networks it will be very valuable for you to understand if not don't worry most of the terms are covered in this course there is no recommended experience for this course as this training is open to everyone even if you have no understanding of AI we will begin with a few Basics so it'll be easy to grasp the concepts of AI the duration of this course will depend on you as it is a self-paced course and you can move forward depending on your progress the exam will be for one hour and the training will be self-paced these sessions will be instructor-led and we will provide you with notes and the material which you can use to qualify for the exam the exam is based on multiple choice questions for 100 marks you will need to acquire 60 plus marks to clear it and if you fail to score the minimum you can retake the exam after one day the maximum retakes allowed are three hence you need to ensure that you have a good grasp of the concepts before taking this test now let's go through the content that will be covered in this course the course starts with an introduction to AI what is an intelligent agent its advantages and challenges that users will generally face while working on AI we will also discuss some of the most famous problems like traveling salesman problem or water jug problem that dealt with AI next we go through the concept of searching in which we will discuss what is searching types of searching uninformed search informed search Brute Force search adversarial search and constraint satisfaction problems after the introduction of artificial intelligence and the concept of searching next is knowledge representation and planning in which we will discuss what knowledge representation is types and techniques of knowledge representation propositional logic in artificial intelligence first order logic and rule-based system after knowledge representation next is probabilistic reasoning in this session we will learn about some of the basic probability Concepts naive Bayes models the concept of Markov and hidden Markov model Association rules dimensionality reduction feature selection and extraction next is the introduction of machine learning in which we will discuss the definition of machine learning need for machine learning and the types of machine learning that include supervised learning semi-supervised learning unsupervised learning and reinforcement learning after learning we go through the concept of clustering and classification decision tree regression and support Vector machine then we discuss what reinforcement learning types of reinforcement learning like passive and active reinforcement learning is then we have communication and perceiving where we learn about natural language processing its models information retrieval and extraction and perception then we have an introduction to a neural network in which we have what is a neural network neural network representation types of neural networks feed forward neural network convolutional neural networks recurrent neural network neural network learning back propagation terminologies of a neural network and various applications of NLP and last is some of the use cases of AI like artificial intelligence in blockchain healthcare and The Internet of Things so guys this is the best certification you're going to have in your life because of the technology which is revaluing the whole world and you were just one step away from Gaining a profound understanding of those Concepts this is the right time to jump in and get a complete understanding of why AI is an important concept and why it is useful and how it can solve your problems I hope you will sign up for this course and we will then continue with the lectures for any queries please visit community.blockchain hyphen council.org and you can also email us at hello at blockchainhyphen council.org thank you
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