Artificial Intelligence

The demand for professionals with artificial intelligence is growing exponentially and that is why Educora offers practice-oriented courses on artificial intelligence in Pune, India. The universities have also decided to include courses on artificial intelligence in the academic program of all areas of computer science. Specially designed for students in the computer science faculty, engineering school, applied science, and other related subjects. Artificial intelligence, or AI, is a computer science subject that aims to build computers that can improve logical operations. The growing popularity of Artificial Intelligence or popularly known as AI prompted us to take AI courses or various artificial intelligence and machine learning programs for students who want to improve their knowledge in the field of modern technology. Placement. Put simply: “Artificial intelligence is the science and technology used to make intelligent machines.” Artificial intelligence or AI systems have the ability or aptitude to perform tasks that naturally correlate with human intelligence, such as speech recognition, decision making, visual or graphical perception, and speech translation, etc. that manage the data analysis A wide range of subjects that are in Artificial intelligence training that reduces activities and changes a person’s decision-making practice, making life easier. Artificial intelligence is not suitable for beginners. Before taking any artificial intelligence or machine learning course in Pune, make sure you know exactly why you want to take the artificial intelligence path and how to use it. The Artificial Intelligence course in Pune at Educora includes the complete training of a total of 50 hours, which are fully covered over a period of 3 months in regular batches and 7 to 8 months on weekends.


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BENEFITS OF STUDYING ARTIFICIAL INTELLIGENCE COURSES AND MACHINE LEARNING.

The AI course will help you gain a deeper understanding of Artificial Intelligence and theory-related programming languages. You can pick a subject of your choice when you find an Artificial Intelligence course in Pune. With a deeper understanding of the AI course, you can create animation packages and game programs for the fun market. and research into computers in need of advanced technology. Develop applications and software that simply produce human life. Build systems that can transfer information across multiple platforms. The Artificial Intelligence Training at educora is a package in which we convey a broad understanding “How to build computer systems with the integration part of Artificial Intelligence (AI). We have recorded topics such as intelligent agents, representations of space problems of” states, uninformed and heuristic search, games, logical agents and problems with satisfying core constraints to move forward. More importantly, getting started with the Artificial Intelligence course does not require any programming knowledge, anyone can start this education and experience the quality of teaching that is most important for a successful career in Machine Learning or Artificial Intelligence and Robotics. Insights into how these technologies are redefining the AI-enabled industry.

Who should take this AI Course?

We are here to teach you the basics of artificial intelligence and to help you conquer the world of artificial intelligence. Intelligence. The foundation in the Educora for AI is likely to be of inestimable value for the profession and the field of the company. The Artificial Intelligence course in Pune is designed to cover the concepts of artificial intelligence in the basics of running. get smarter for most business purposes to improve performance. Nowadays, artificial intelligence is widely used in all areas such as finance, networking, gaming, robotics, quantum mathematics, autonomous vehicles, and diagnostic medicine. This is necessary because much of the transformation that is taking place at the organizational level itself tends to capitalize on the increasing amount of information that is being generated and accumulated. To build a successful career in Artificial Intelligence (AI), this program aims to provide a thorough understanding of the concepts of Artificial Intelligence. Gain functional and practical experience to ensure the execution of orders. This Artificial Intelligence course in Pune uses industry experience that is considered top-notch to make you a data science specialist and an artificial intelligence expert. Artificial intelligence (AI) is a huge thing in technology and a large number of companies are implementing artificial intelligence and the need for professionals in the fields of AI or artificial intelligence and machine learning is growing at an amazing rate. The course in Pune and the machine learning courses in Pune with Educora provide a broad understanding of the concepts of Artificial Intelligence (AI) to develop computer applications to solve problems and achieve goals in the world. Artificial intelligence (AI) is a field of technology that enables computers to perform tasks such as speech recognition, decision-making, and visual perception that usually require human intellect aimed at creating intelligent machines. about AI or its consequences. Topics such as algorithms, data structures, computing DBMS, and robotics principles are taught. AI is valuable to people who are interested in the subject or engineers. By learning this program, you will also learn about information protection, operating system, pattern recognition, data analysis, and computer programs. What is deep learning in AI? You will learn machine learning, neural networks, and learn how to run libraries when you start programming, and you can choose online training courses that provide tutorials and it really comes in handy. For information on big data deep learning and analytics, take an AI course in Pune. Choose Your Area In order to develop products that have contributed to the growth of life, AI has been helping for decades. AI is being used in addition to technology in university student areas as well as in robotic engineering data science support to create intelligent devices and solutions in this area. Do you know the similarities between the technologies used for Google web search engines, Android facial recognition, automatic driving, tumor detection in hospitals, or automatic missile control? They are all complex real-world problems that are solved using a concept called Artificial Intelligence (AI).

ONLINE CLASSES

Online Artificial Intelligence Training at Educora is a program that introduces students to the advanced knowledge of artificial intelligence representation, problem-solving, and learning methods. After completing this online artificial intelligence course, students will be able to find answers to computer problems, solving and learning in intelligent systems engineering. In Artificial Intelligence, we present the core idea of teaching a computer to learn concepts using data without being explicitly programmed. The course includes hands-on training on supervised and unsupervised learning Online AI courses are designed by industry leaders and after many roundtables, we have developed a comprehensive Artificial Intelligence curriculum that emphasizes broad practical knowledge and based learning projects. Our faculties, which have been in the industry for several years, collect a lot of knowledge and help you work on projects in real-time. The more rigorous you are with your efforts, the better you will hone that particular technology. Educora develops talent and hard work pays off. with comfort zones and flexible working hours.

COURSE ELIGIBILITY
  • Freshers
  • BE/BSc Candidate
  • Any Engineers
  • Any Graduate
  • Any Post-Graduate
  • Working Professionals
COURSE CONTENT

Artificial Intelligence

  • An Introduction to Artificial Intelligence
  • History of Artificial Intelligence
  • Future and Market Trends in Artificial Intelligence
  • Shrewd Agents – Perceive-Reason-Act Loop
  • Search and Symbolic Search
  • Limitation based Reasoning
  • Basic Adversarial Search (Game-Playing)
  • Neural Networks and Perceptrons
  • Understanding Feedforward Networks
  • Boltzmann Machines and Autoencoders

Investigating Backpropagation

  • Profound Networks and Structured Knowledge
  • Profound Networks/Deep Learning
  • Information based Reasoning
  • First-request Logic and Theorem
  • Rules and Rule-based Reasoning
  • Contemplating Blackboard Systems
  • Organized Knowledge: Frames, Cyc, Conceptual Dependency
  • Portrayal Logic
  • Dissuading Uncertainty
  • Likelihood and Certainty-Factors
  • What are Bayesian Networks?
  • Understanding Sensor Processing
  • Regular Language Processing
  • Contemplating Neural Elements
  • Convolutional Networks
  • Repetitive Networks
  • Long Short-Term Memory (LSTM) Networks

Machine learning and Hacking

  • Machine learning
  • Repeat: Deep Learning
  • Emblematic Approaches and Multiagent Systems
  • Cultural/Ethical Concerns
  • Hacking and Ethical Concerns
  • Conduct and Hacking
  • Occupation Displacement and Societal Disruption
  • Morals of Deadly AIs
  • Risk of Displacement of Humanity
  • The fate of Artificial Intelligence

Natural Language Processing

  • Natural Language Processing
  • Natural Language Processing in Python
  • Natural Language Processing in R
  • Concentrating Deep Learning
  • Artificial Neural Networks
  • ANN Intuition
  • Plan of Attack
  • Contemplating the Neuron
  • The Activation Function
  • Working of Neural Networks
  • Investigating Gradient Descent
  • Stochastic Gradient Descent
  • Investigating Backpropagation

Artificial and Conventional Neural Network

  • Understanding Artificial Neural Network
  • Building an ANN
  • Building Problem Description
  • Assessment the ANN
  • Working on the ANN
  • Tuning the ANN
  • Regular Neural Networks
  • CNN Intuition
  • Convolution Operation
  • ReLU Layer
  • Pooling and Flattening
  • Full Connection
  • Softmax and Cross-Entropy
  • Building a CNN
  • Assessing the CNN
  • Working on the CNN
  • Tuning the CNN

Repetitive Neural Network

  • Repetitive Neural Network
  • RNN Intuition
  • The Vanishing Gradient Problem
  • LSTMs and LSTM Variations
  • Viable Intuition
  • Building a RNN
  • Assessing the RNN
  • Working on the RNN
  • Tuning the RNN

Self-Organizing Maps

  • Self-Organizing Maps
  • SOMs Intuition
  • Plan of Attack
  • Working of Self-Organizing Maps
  • Returning to K-Means
  • K-Means Clustering
  • Perusing an Advanced SOM
  • Building a SOM

Boltzmann Machines

  • Energy-Based Models (EBM)
  • Confined Boltzmann Machine
  • Investigating Contrastive Divergence
  • Profound Belief Networks
  • Profound Boltzmann Machines
  • Building a Boltzmann Machine
  • Introducing Ubuntu on Windows
  • Introducing PyTorch

AutoEncoders

  • AutoEncoders: An Overview
  • AutoEncoders Intuition
  • Plan of Attack
  • Preparing an AutoEncoder
  • Overcomplete covered up layers
  • Meager Autoencoders
  • Denoising Autoencoders
  • Contractive Autoencoders
  • Stacked Autoencoders
  • Profound Autoencoders

PCA, LDA, and Dimensionality Reduction

  • Dimensionality Reduction
  • Head Component Analysis (PCA)
  • PCA in Python
  • PCA in R
  • Straight Discriminant Analysis (LDA)
  • LDA in Python
  • LDA in R
  • Piece PCA
  • Piece PCA in Python
  • Piece PCA in R

Model Selection and Boosting

  • K-Fold Cross-Validation in Python
  • Matrix Search in Python
  • K-Fold Cross-Validation in R
  • Matrix Search in R
  • XGBoost
  • XGBoost in Python
  • XGBoost in R