Artificial Intelligence Online Training

Artificial Intelligence Online Training

Glim Technologies will provide the best Artificial Intelligence Online training with 100% placement support and affordable cost. We organize a systematic Artificial Intelligence course syllabus for the students in Artificial Intelligence online training. Artificial Intelligence course is available on both Artificial Intelligence weekdays classes and Artificial Intelligence weekend classes at Glim Technologies. Our Artificial Intelligence online training faculty has a lot of real-time experience and well qualified in training the professionals. We will provide the best Artificial Intelligence online training with expert trainers. Contact 09962 734 734 for more details and Artificial Intelligence free demo classes.

Artificial Intelligence Online Course

Learning Artificial Intelligence online course in Glim Technologies will bring you up in the career of booming technology. We are one of the best Artificial Intelligence online training institute in India Which provides Artificial Intelligence online courses and they can handle from basics to expert level of training. Our instructor guides you with a great example and ideas to explore knowledge. Artificial Intelligence online training will provide perfect Hands-on-training and directly connect with real-time environments. We will provide Artificial Intelligence basic to advance level of training to the students. In Glim Technologies, Artificial Intelligence online trainers have trained more than 100+ students so far with successful placements. We are the best choice for learning Artificial Intelligence course at an affordable cost.

One to One Training

Get 1-to-1 Live Instructor Led Online Training in flexible timings.

Program Fees:₹ 45,000
Discount Price:₹ 29,000

Online Classroom

Attend our Instructor Led Online Virtual Classroom.

Program Fees:₹ 40,000
Discount Price:₹ 24,000

Frequently Asked Questions

How Do I Enrol For The Artificial Intelligence Online Training At Glim Technologies?

You can contact at 09962 734 734 or email to info@glimtechnologies.com or fill our form in website to join Artificial Intelligence online training at Glim Technologies

What to do if I miss one (or) more my Artificial Intelligence Online classes?

No worries. It might happen. We will reschedule your Artificial Intelligence online classes as per your convenience within the stipulated course duration with all such possibilities. And if you want you can get the pre recorded video of that Artificial Intelligence online class.

How Equipped Are The Artificial Intelligence online training Faculties At Glim Technologies?

Top-notch professional Artificial Intelligence Online trainer who understands how to convey things in technical as well as subject matter experts.

What are the modes of training offered for Artificial Intelligence Online Course?

We offer Artificial Intelligence course in “Live Instructor-Led Online Training” mode. Through this way you won’t mess anything in your real-life schedule. You will be shared with live meeting access while your session starts.

Can I attend a demo Artificial Intelligence online course session?

You can get a sample Artificial Intelligence online class recording to ensure you are in right place. We ensure you will be getting complete worth of your money by assigning a best instructor in that technology.

What are the payment options?

Payments can be made using any of the following options and a receipt of the same will be issued to you automatically via email. Debit Card / Credit Card, American Express, Master Card, or PayPal.

I have more queries?

You can reach us through 09962 734 734. Or you can share your queries through info@glimtechnologies.com Estimated turnaround time will be 24 hours for emails.

Artificial Intelligence Online Training

Artificial Intelligence (AI) is the branch of computer sciences that emphasizes the development of intelligence machines, thinking and working like humans. For example, speech recognition, problem-solving, learning and planning. There are four types of artificial intelligence: reactive machines, limited memory, theory of mind and self-awareness. Artificial intelligence (AI) is the simulation of human intelligence processes by machines, especially computer systems. Specific applications of AI include expert systems, natural language processing (NLP), speech recognition and machine vision. However, even though artificial intelligence is referred to as AI in the media, there are different types of AI out there. These three types are artificial narrow intelligence (ANI), artificial general intelligence (AGI), and artificial super intelligence (ASI), The same way artificial intelligence solutions do. What is more, Siri was initially developed by the SRI International Artificial Intelligence Centre. Its name speaks for itself. To summarize everything said above, yes, Siri is for sure an example of artificial intelligence. AI is getting better at doing text-to-voice translation as well as voice-to-text translation, and could thus help visually impaired people, or people with hearing impairments, to use information and communication technologies (ICTs). AI is already helping to create smart sustainable cities. Weak artificial intelligence (weak AI), is artificial intelligence that implements a limited part of mind, or as narrow AI, is focused on one narrow task. … They do not implement parts of minds, they use natural language processing together with predefined rules.

Artificial Intelligence Certification

The rapid pace of innovation in Artificial Intelligence (AI) is creating enormous opportunity for transforming entire industries and our very existence. After competing this comprehensive 6 course Professional Certificate, you will get a practical understanding of Machine Learning and Deep Learning.

You will master fundamental concepts of Machine Learning and Deep Learning, including supervised and unsupervised learning. You will utilize popular Machine Learning and Deep Learning libraries such as SciPy, ScikitLearn, Keras, PyTorch, and Tensorflow applied to industry problems involving object recognition and Computer Vision, image and video processing, text analytics, Natural Language Processing, recommender systems, and other types of classifiers.

You will be able to scale Machine Learning on Big Data using Apache Spark. You will build, train, and deploy different types of Deep Architectures, including Convolutional Networks, Recurrent Networks, and Autoencoders.

Syllabus For Artificial Intelligence Online Training

Artificial Intelligence
  • 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 Perceptrons
  • Understanding Feedforward Networks
  • Boltzmann Machines and Autoencoders
  • Exploring Backpropagation
Deep Networks and Structured Knowledge
  • 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 and Hacking
  • Machine learning
  • Reprise: Deep Learning
  • Symbolic Approaches and Multiagent Systems
  • Societal/Ethical Concerns
  • Hacking and Ethical Concerns
  • Behaviour and Hacking
  • Job Displacement & Societal Disruption
  • Ethics of Deadly AIs
  • Danger of Displacement of Humanity
  • The future of Artificial Intelligence
Natural Language Processing
  • 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
Artificial and Conventional Neural Network
  • Understanding Artificial Neural Network
  • Building an ANN
  • Building Problem Description
  • Evaluation 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
  • 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
  • Self-Organizing Maps
  • SOMs Intuition
  • Plan of Attack
  • Working of Self-Organizing Maps
  • Revisiting K-Means
  • K-Means Clustering
  • Reading an Advanced SOM
  • Building an SOM
Boltzmann Machines
  • 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
  • AutoEncoders: An Overview
  • AutoEncoders Intuition
  • Plan of Attack
  • Training an AutoEncoder
  • Overcomplete hidden layers
  • Sparse Autoencoders
  • Denoising Autoencoders
  • Contractive Autoencoders
  • Stacked Autoencoders
  • Deep Autoencoders
PCA, LDA, and Dimensionality Reduction
  • 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
Model Selection and Boosting
  • 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

Artificial Intelligence Online Training Testimonials

I have chosen Artificial Intelligence online training in Glim technologies, they cover all the topics and ideas related to the real time situations, Trainers gave several ideas that are more additional tips for me. I recommended this Artificial Intelligence online course in this institute.

Gracie

I did online Artificial Intelligence course in Glim Technologies, The training was very good and valuable to me. It’s effortless to catch up all the points  illustration is very understandable. course fees very Affordable. This is a good place for online learning. Thanks all.

Valeri

I’m Completed Artificial Intelligence online Training in Glim Technoloigies.  Course very interactively taught by the trainer in all the way. Clearing the doubts very understandable to me. Trainer would explain lots of techniques its beneficial to me, Classes are very calm for the learning with flexible timings.

They cover entire syllabus and concepts. Thanks to Glim Technologies.

Michael