AI Training Course

5
Months

Duration

Training Mode

Online Method

AI Experts Wanted: Shape the Future with Artificial Intelligence and Machine Learning.

The Skyper show you how to turn into an AI Expert by building and sending industry arranged projects.

Features that keep you motivated

Certification & Job Assistance
Project Based Learning
practise coding issues
A curriculum with structure that makes learning simple
Mock interviews with job advice and resumes
Structured criticism to help you improve
List The opportunity to be recommended

Syllabus

Tutorial for AI Course

A digital label that certifies your expertise in AI is called an AI certificate.

30+

Live session

9+

Languages

10+

Quizzes

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 Perceptions
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

Powering the Future with AI: Unleash Your Potential in the World of Artificial Intelligence

Tools & Programming Languages Covered

Key Features of Java

Live training

Real-Time project

24*7 in support

Certification

100% placement Assurance

Interview preparation

Professional skills

Study Materials

Online/ Classroom

Internship offers

Reviews

Hrishikesh Ghoti

2023-06-07

thoroughly enjoyed the online training classes and found it really satisfying after completing the Full Stack course in the skyper technologies. The trainer was very professional and supportive. All doubts were cleared in precise manner. I really had a good experience.Thank you for building our confidence.Also Tnxx to staff who support me for placed in Infosys

Kunal Patil 02

2023-05-19

I have really good experience

dilip nikam

2023-05-19

The trainer was good and supportive . And good environment.

Frequently Asked Questions Java course

1.Who Can Join The Training Programs ?

Our training programs are apt for the aspirants who are keen on excelling in a career in analytics. Our programs will also benefit working professionals who are planning to make a career switch into the analytics domain. We help you develop skills that are needed to land your dream job and help you succeed in your career.

2. Is the Course Curriculum Relevant with Industry Standards?

Indeed, our course educational plan is exceptionally planned by specialists and it reverberates with the ongoing business norms. We likewise update our educational program on a regular premise to assist our understudies with remaining pertinent with the current examination industry patterns.

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