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Artificial Intelligence (AI) Training in Jaipur

  • Artificial Intelligence

    Artificial Intelligence Course in Jaipur The best Artificial Intelligence Training in Jaipur is offered Zeetron Networks which can be an outstanding choice to make. At Zeetron Networks there are certified Artificial Intelligence professionals to give you the best and knowledgeable training. Artificial Intelligence came into existence when people started taking an interest in automated technologies and ventures.

    Our Artificial Intelligence Course develops all the skills required for a career as a certified Artificial Intelligence Engineer. It enables you to gain in-depth knowledge of various aspects of AI including TensorFlow, Machine Learning, Artificial neural networks, data science, python, advanced analytics, and many more. You will also gain hands-on exposure to various real-time use cases and projects during this training. Enroll now and get certified.

  • Artificial Intelligence Key Features

    Zeetron Networks offers Artificial Intelligence Training in Jaipur in many branches with expert trainers. Here are the key features;

    • 30+ Hours Course Duration
    • 100% Job Oriented Training
    • Industry Expert Faculties
    • Free Demo Class Available
    • Completed 500+ Batches
    • Certification Guidance

What You Will Learn?

  • An Introduction to Artificial Intelligence
  • History of Artificial Intelligence
  • Future and Market Trends in Artificial Intelligence
  • Intelligent Agents – Perceive-Reason-Act Loop
  • Search and Symbolic Search
  • Constraint-based Reasoning
  • Simple Adversarial Search (Game-Playing)
  • Neural Networks and Perceptions
  • Understanding Feedforward Networks
  • Boltzmann Machines and Autoencoders
  • Exploring Backpropagation
  • Deep Networks/Deep Learning
  • Knowledge-based Reasoning
  • First-order Logic and Theorem
  • Rules and Rule-based Reasoning
  • Studying Blackboard Systems
  • Structured Knowledge: Frames, Cyc, Conceptual Dependency
  • Description Logic
  • Reasoning with Uncertainty
  • Probability & Certainty-Factors
  • What are Bayesian Networks?
  • Understanding Sensor Processing
  • Natural Language Processing
  • Studying Neural Elements
  • Convolutional Networks
  • Recurrent Networks
  • Long Short-Term Memory (LSTM) Networks
  • Machine learning
  • Reprise: Deep Learning
  • Hacking and Ethical Concerns
  • Symbolic Approaches and Multiagent Systems
  • Societal/Ethical Concerns
  • Behavior and Hacking
  • Job Displacement & Societal Disruption
  • Ethics of Deadly AIs
  • The danger of Displacement of Humanity
  • The future of Artificial Intelligence
  • Natural Language Processing
  • Natural Language Processing in Python
  • Natural Language Processing in R
  • Studying Deep Learning
  • Artificial Neural Networks
  • ANN Intuition
  • Plan of Attack
  • Studying the Neuron
  • The Activation Function
  • Working of Neural Networks
  • Exploring Gradient Descent
  • Stochastic Gradient Descent
  • Exploring Backpropagation
  • Understanding Artificial Neural Network
  • Building an ANN
  • Building Problem Description
  • Evaluation of the ANN
  • Improving the ANN
  • Tuning the ANN
  • Conventional Neural Networks
  • CNN Intuition
  • Convolution Operation
  • ReLU Layer
  • Pooling and Flattening
  • Full Connection
  • Softmax and Cross-Entropy
  • Building a CNN
  • Evaluating the CNN
  • Improving the CNN
  • Tuning the CNN
  • Recurrent Neural Network
  • RNN Intuition
  • The Vanishing Gradient Problem
  • LSTMs and LSTM Variations
  • Practical Intuition
  • Building an RNN
  • Evaluating the RNN
  • Improving the RNN
  • Tuning the RNN
  • Self-Organizing Maps
  • SOMs Intuition
  • Plan of Attack
  • Working of Self-Organizing Maps
  • Revisiting K-Means
  • K-Means Clustering
  • Reading an Advanced SOM
  • Building a SOM
  • Energy-Based Models (EBM)
  • Restricted Boltzmann Machine
  • Exploring Contrastive Divergence
  • Deep Belief Networks
  • Deep Boltzmann Machines
  • Building a Boltzmann Machine
  • Installing Ubuntu on Windows
  • Installing PyTorch
  • AutoEncoders: An Overview
  • AutoEncoders Intuition
  • Plan of Attack
  • Training an AutoEncoder
  • Overcomplete hidden layers
  • Sparse Autoencoders
  • Denoising Autoencoders
  • Contractive Autoencoders
  • Stacked Autoencoders
  • Deep Autoencoders
  • Dimensionality Reduction
  • Principal Component Analysis (PCA)
  • PCA in Python
  • PCA in R
  • Linear Discriminant Analysis (LDA)
  • LDA in Python
  • LDA in R
  • Kernel PCA
  • Kernel PCA in Python
  • Kernel PCA in R
  • K-Fold Cross-Validation in Python
  • Grid Search in Python
  • K-Fold Cross-Validation in R
  • Grid Search in R
  • XGBoost
  • XGBoost in Python
  • XGBoost in R

The scope of Artificial Intelligence

The ultimate objective of Artificial Intelligence is to solve problems as effectively as humans. The scope of Artificial Intelligence certified professionals are in the fields such as developing speech recognition machines, expert systems, game playing, robotics, language detection machine, computer vision, and more.

This industry has just started to flourish and the scope for professionals certified in this technology is very bright. With the advancement in AI, new job positions are created such as Automation Ethicist, Automation Economist, Context Designer, etc.

Keeping in view all the advancement and the new job roles created by this technology; there could not be a better time for enthusiasts of AI to seek Artificial Intelligence training in Jaipur, India. We provide the best Artificial Intelligence training with 100% placement assistance. Come book your seat today and meet the challenges of this industry head-on.

Artificial Intelligence Course Benefits

Our Artificial Intelligence Courses are designed for students and professionals where they can learn about self-driving cars, face recognition, web search, industrial robots, and tumor detection.

We help people to solve and understand real-life problems using the varied applications of Artificial Intelligence.