Humble beginnings

Redprism came a long way intending to ‘Transform the Career and Lives’ of the individuals in the competitive world and up skilling their career, and creating a balance between the learning and implementing the real-time cases in education and achieve the dreams.

Artificial Intelligence

Artificial Intelligence

Artificial Intelligence (AI) is the simulation of human intelligence process by machines, especially computer systems. System specifications of AI include expert system, Speech Recognition, Machine vision and Natural Language Processing (NLP).

The term “artificial intelligence” may sound intimidating to some, but it has been in use for decades and its applications are more common than you might imagine.AI assists in every area of our lives, whether we’re trying to read our emails, get driving directions, or start a new business.


Why Artificial Intelligence training Important?

 The AI course will help you to obtain a deeper comprehension of the Artificial Intelligence and AI theories and related programming languages. The Artificial Intelligence course consist of various modules which include practical like  Laboratory exercises will be supplied at which it is possible to acquire real-time expertise on several different modules. You’ll be able to select a subject of your choice when you find out Artificial Intelligence course in Noida. With deeper understanding AI Course You will be able to create animation packages and match programs for the amusement market. Perform development and research within the area of computers that need advanced technology. Develop applications and software which produce human life simple. Build systems that may help move information on multiple platforms.

Artificial Intelligence Exclusive training in Redprism Noida

Artificial Intelligence (AI) is an enormous thing in the field of technology and a large number of businesses are implementing Artificial Intelligence and the demand for professionals in AI or Artificial Intelligence and machine learning is growing at an amazing speed. Artificial Intelligence (AI) training Course in Noida with Redprism will offer a broad comprehension of the concepts of Artificial Intelligence (AI) to make computer applications to resolve problems and achieve goals in the world. Artificial Intelligence (AI) is a field of technology which makes computers to perform tasks like speech recognition, decision-making and visual perception that normally requires human intellect that aims to develop smart machines. This artificial intelligence course is well-suited for management and non invasive participants and Students who want to understand Artificial Intelligence, Newbie’s who aren’t Knowledgeable about AI or its consequences. Topics like algorithms, data structures, computing DBMS, and principles of robotics are educated. AI is valuable for those people who are interested in the specialty, or engineers. In learning this program, you’ll also learn about information protection, operating system, pattern recognition, data analysis, and computer programs. You’ll gain insights into Big Data Deep Learning, and analytics once you take an AI Course in Noida. Do you know the Similarity between technologies used For Google Web Search Engines, Android Face recognition, Automatic-Car driving, Tumour detection in hospitals or Automatic Missile Engine Instruction? They are all complex real-world problems being solved with the help of a concept called Artificial intelligence (AI).

Exclusive Key Factors at Redprism

Redprism is the best institute for Artificial Intelligence (AI) training in Noida. Artificial intelligence is one of the latest technologies which is seeing a good growth in the IT sector. Almost every company is using this tool to enhance their data accuracy and technological systems. Hence to help you build yourself and flourish with all the tools of AI, Redprism is offering the best AI training in Noida. The AI course is efficiently designed to provide the best knowledge the students about AI without leaving a bit of it. Students will learn right from the scratch, about the artificial neutral networks, their classifications and to the end.


Prime Features why to Join Red Prism?:-

·         Industry Expert Trainers with 10-15 years of experience.

·         Course content is curated by best Subject Matter Experts.

·         Practical Assignments.

·         Real Time Projects.

·         Video recording of each and every session.

·         Yours doubts are clarified with 24*7 assistance by our experts.

·         We conduct regular Mock tests and certifications at the end of course.

·         Certification Guidance.

·         Recognized training complete certificate.

·         100% Placement Assistance.

·         Less fees as compared to other institutes.

·         Flexi payment options

·         Scholarship Available

Course Content:-

o   Introduction to AI

o   Benefits of AI

o   Implementation of AI

o   Machine Learning core concepts, scalable algorithms, project workflow. 

o     Understanding the Objective Function of ML Algorithms 

o    Metrics, Evaluation Methods and Optimizers 

o  Popular Metrics in Detail: R2 Score, RMSE, Cross-Entropy, Precision, Recall, F1 Score, ROC-AUC, SGD, ADAM 

o    Artificial Neural Network 

o    ANN in detail, Forward Pass and Back Propagation 

o    Core difference b/w ML and DL from an implementation perspective

o   Over fitting and under fitting(Linear, Logistic, Navi Bayes, K-Nearest Neighbors, Support Vector Machine, Decision Trees, Random Forest )





o   Deep Learning Network Concepts

o   Core concepts of Deep Learning Networks

o    Deep Dive into Activation Functions

o    Relu, Sigmoid, Tanh, SoftMax, Linear

o    Building simple Deep Learning Network

o    Simple DL network from starch

o  Tuning Deep Learning Network

o Tuning Deep Learning Network Parameters for optimal performance, Stopping Criteria

o    Visualizing Training using TensorBoard

o    Visualizing Deep Learning Network using TensorBoard

o   Python Programming Primer 

o   Installing Python, Programming Basics, Native Data types 

o    Class, Inheritance and Magic Functions

o    Python Classes, Inheritance Concepts, Magic Functions 

o    Special Functions in Python 

o Overview, Array, selecting data, Slicing, Iterating, Array Manipulations, Stacking, Splitting arrays, Key functions 

o    Decorators and Special Functions 

o    Decorators implementation with class 

o    Context Manager ‘with’ in Python 

o    Context Manager Application 

o    Exception Handling 

o    Try and Catch block 

o    Python Package Management 

o    Bundling and export python packages

o   Linear Algebra

o   Vectors, Matrices, Linear Transformation, Eigen Vectors, Matrix Operations, Special Matrices

o    Probability Essentials: Probability basics and notations, Conditional probability, Essential Probability theorems for Machine Learning

o    Special functions: Relu, Sigmoid, SoftMax, Popular Loss Functions – Cross-Entropy, Quadratic Loss Functions

o    Calculus – Derivatives: Calculus essentials, Derivatives and Partial Derivatives, Chain Rule, Derivatives of special functions

o   Concrete Functions, Data

o   epts, Tensors, core APIs

o   Introduction to NLP

o   Text Preprocessing

o   Lemmatization

o   Stemming

o   Text to features

o   Important Tasks in NLP

o   Introduction to TensorFlow 2.0

o   TensorFlow core conc. Types, Control Statements

o  Polymorphic Functions, Concrete Functions, Datatypes, Control Statements, NumPy, Pandas

o   Autograph eager execution

o    tf.function autograph implementation

o   Sessions vs. tf.function

o   Keras (TensorFlow 2.0 Built-in API) Overview

o   Sequential Models, configuring layers, loading data, train and test, complex models, callbacks, save and restore Neural Network weights

o    Building Neural networks from scratch in Keras

o    Implementing RNN, CNN in Keras

o  Building Recurrent Neural Networks for sequence data and Convolution Neural Networks for Image Classification

o   Reinforcement learning framework

o   Dynamic programming algorithms

o    Monte Carlo Methods

o    Temporal Difference Methods

o    Gym - OpenAI Framework Introduction

o    Deep Q-Learning

o    Introduction to Multi-Agent RL

o   Introduction to Computer Vision

o    Understanding Image Representation and Analysis

o    Convolutional Neural Network

o    Features and Object Recognition

o    Image Segmentation

o     Recurrent Neural Networks

o   Advanced CNN Architectures

o    Attention Mechanisms