Artificial Intelligence Training In Pune
- Created by Vaibhav Bajaj
- Last updated 11/2020
- 7,284 students enrolled
- Created by Vaibhav Bajaj
- Last updated 11/2020
- 7,284 students enrolled
- 7,284 students enrolled
Best Artificial Intelligence Course In Pune
Best Artificial Intelligence training at ETLhive, Pune with its focus on hand-on training sessions. The course focuses on the basic and advanced concepts of Artificial Intelligence (AI) such as Deep Networks, Structured Knowledge, Machine Learning, Hacking, Natural Language Processing, Artificial and Conventional Neural Network, Recur rent Neural Network, Self-Organizing Maps, Boltzmann Machines, AutoEncoders, PCA, LDA, Dimensionality Reduction, Model Selection and Boosting. Further, the Artificial Intelligence Course in Pune will help you target the best jobs in the market in the field and not only this you can certainly increase your chances of employability by gaining more knowledge on the associated technologies such as IoT and Robotics.
As a fact of the matter, Artificial Intelligence is the simulation of human intelligence by machines and it includes learning, reasoning, self-correction, speech recognition, and machine vision. Artificial intelligence is clearly the future of technology and every company is taking a step ahead to use artificial intelligence to make their products better. It is extensively used in diverse sectors such as healthcare, business, education, finance, law, and manufacturing.
Intended Audience for Artificial Intelligence Training Course
This course is ideal for individuals having interest in Artificial Intelligence, Machine Learning, or Deep Learning. In other words, this course is meaningful for Python Developers, Robotics Engineer, and Fresh Graduates.
Prerequisites for Artificial Intelligence Training
As such, there are no technical prerequisites for Artificial Intelligence Training. However, knowledge of python and mathematical aptitude will be beneficial.
Syllabus
- 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/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
- 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 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 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 an 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
FAQ
If you miss a lecture, you can attend another session in any other live batch. We have multiple batches running simultaneously.
Yes, we have multiple centers. We are located at Pimple Saudagar, Nal Stop, and Kharadi. You can reach us from every corner of the city.
Our training professionals are highly qualified and have hands-on industry experience.
Yes, the courses available at the ETLhive are a perfect blend of theory and practice. We do arrange Live-Projects so that the trainees get an extensive knowledge about the real-time projects and the allied issues, and consequently develop the ability to tackle real-life scenarios.
Yes, we are into three kinds of training: Customer Training, Corporate Training, and Online Training. The training centers are well-equipped which makes online learning possible, enjoyable and effective. Online training is delivered through the use of Webinars, High Definition Videos, and Audio Capability Servers. We will help you attend the course remotely from your desktop or laptop, with the help of local access.
We make sure we are available for our customers. In case you have any doubts after you complete your course, do not hesitate to contact us. Our support system ensures assistance and we will try to clear all your doubts.
You may attend the next batch in case you are unable to attend the batch you enrolled in. The information about our future batches is always available on our website and on other social media links such as Facebook, Twitter, and Google+.
ETLhive is considered as the leading pioneer in customer, corporate, and online training. Our training professionals impart the best of training experiences with detailed theoretical knowledge and real-time projects, so much so that our students excel in their careers. We provide job assistance in terms of resume preparation and interview etiquettes.
The schedule for all the courses is different. You may check our website or our social media links for latest information. Nevertheless, our support staff will inform you about the schedule of your class via email, SMS, or call.
Yes, we provide various kinds of learning material which will help you master the course. We provide PDFs, PPTs, Recorded Videos, Certification Related PDFs, and Best Practices. We also provide FAQs for Interviews and Sample Resumes.
Yes. We have a wide range of online study material. We provide PDFs, PPTs, Recorded Videos, Certification Related PDFs, and Best Practices. We also provide FAQs for Interviews and Sample Resumes.
You can pay through cash or net banking. We also accept cheques liable to be cleared 24 hours before the first lecture of the batch.
After you complete your course modules, you will have to work on projects. We will provide certificates after evaluating your projects, thereafter you will be considered as certified professionals.
If you have any other query, do not hesitate to consult our counsellors. Feel free to call us at 1800-2000-991/8055020011, or email us on mail@etlhive.com.
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