Online Artificial Intelligence Course in Delhi
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Online Artificial Intelligence Course in Delhi
It Includes the power of Data Science, Machine Learning to create powerful Artificial Intelligence applications with the help of Artificial Intelligence training in Delhi.
Artificial Intelligence Course Description
CRAW Security invites applicants or candidates for an Artificial Intelligence Course in Delhi, Python learning, machine learning Program in New Delhi. We are seeking highly motivated students, who are interested in experiencing the excitement of research. The selected students will have the chance to work intimately with a remarkable research team on challenging problems that range from leading-edge exploratory work to prototyping real-world systems and applications.
During the course, the students will also have the opportunity to participate in the organization, competitions, events, live projects of the largest industrial research organization in the world, and network with other top students in different fields from other universities. Artificial Intelligence Course works like a computer program that is designed to do smart work. Craw Security Delhi offers the best Artificial Intelligence course preparation in Delhi with an Artificial Intelligence course schedule planned as per the business requests that assist the students with getting guaranteed arrangements and procuring their fantasy occupations at different MNCs.Craw Security is the Best Artificial Intelligence Institute in Delhi that offers involved commonsense experience on live Artificial Intelligence-based ventures and top to bottom comprehension of Artificial Intelligence alongside 100% help. The Artificial Intelligence course content at the foundation is helpful for both essential just as cutting edge level Artificial Intelligence institute classes. At Craw Security topic experts who are likewise the corporate experts with 3+ long stretches of involvement with taking care of the ongoing Artificial Intelligence projects direct Artificial Intelligence Certification training course in Delhi.
Craw Security is one of the most credible Artificial Intelligence training institutes in Delhi with 100% placement support at affordable Artificial Intelligence courses in Delhi fees. Craw Security has a well-defined Artificial Intelligence certification course structure incorporated with effective training sessions for the students. Post completion of the Artificial Intelligence training the students are also awarded the completion certificate from Craw Security that is widely recognized by the industry. At Craw Security Artificial Intelligence training in Delhi is conducted during weekdays and weekends (both morning and evening batches). Also, the institute provides a fast-track Artificial Intelligence Course in Delhi.
Craw Security Institute always uses the latest technology in the field of educating students. That is why we always utilize the latest technology in our Artificial Intelligence Course Syllabus. We are using Anaconda 2021v version software with Jupyter Notebook or JupyterLab as the key notebook program. Jupyter Notebook is the latest online hands-on learning & development platform for notebooks, coding, and data. Its open interface permits users to structure and organize workflows in data science, scientific computing, computational journalism, and machine learning. This Anaconda 2021v software also uses PyCharm IDE which is a dedicated Python Integrated Development Environment (IDE) software that provides a broad spectrum of useful tools for Python developers, tightly integrated to develop an appropriate atmosphere for productive Python, web, and data science development.
Craw Security’s Delhi Artificial Intelligence Trainers are:
Craw Security’s Delhi Artificial Intelligence Trainers are:Our coaches are industry specialists and subject experts who have dominated running applications giving the best Artificial Intelligence preparation to the understudies. We have gotten different esteemed honors from our remembered IT accomplices and associations. Our mentors are MNC working experts utilized in HCL Technologies, Birla-delicate, TCS, IBM, Sapient, Agilent Technologies, etc. Our coaches are Affirmed specialists having 5+ long periods of involvement with the business. Our coaches are Affirmed specialists having 5+ long periods of involvement with the business.
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What will you Learn in Artificial Intelligence Course in Delhi
- Understand the theory behind Artificial Intelligence
- Solve Real World Problems with AI
- Master the State of the Art AI model
- Research Areas of Artificial Intelligence
- Intelligence System
- Robotics
- Artificial Intelligence Issues
Course Content (Language - Hindi)
MODULE 01 : OVERVIEW OF AI
MODULE 02 : Introduction of Machine Learning and Deep Learning
MODULE 03 : Model Training and Testing
Model Training and Testing
MODULE 04 : Overfitting and Underfitting
Overfitting and Underfitting
MODULE 05 : Types of Supervised Learning Algorithm
Types of Supervised Learning Algorithm
MODULE 06 : Types of Unsupervised Learning Algorithms
Types of Unsupervised Learning Algorithms
MODULE 07 : Module Confusion Matrix
Module Confusion Matrix
MODULE 08 : Simple linear Regression(introduction )
Simple linear Regression(introduction )
MODULE 09 : Implementation of Simple linear Regressions
Implementation of Simple linear Regressions
MODULE 10 : Theory of Multiple linear regression
Theory of Multiple linear regression
MODULE 11 : Implementation of polynomial regression in python
Implementation of polynomial regression in python
MODULE 12 : Theory of polynomial regression
Theory of polynomial regression
MODULE 13 : Implementation of polynomial regression in python
Implementation of polynomial regression in python
MODULE 14 : Theory of logistics regression
Theory of logistics regression
MODULE 15 : Practically implement logistics regression in python
Practically implement logistics regression in python
MODULE 16 : Theoretically Part of KNN(K-Nearest Neighbors)
Theoretically Part of KNN(K-Nearest Neighbors)
MODULE 17 : Theoretically part of SVM(Support Vector Machine)
Theoretically part of SVM(Support Vector Machine)
MODULE 18 : Practically Implementation of SVM(support vectors machine ) in Python
Practically Implementation of SVM(support vectors machine ) in Python
MODULE 19 : Theoretically Part of Naive Bayes Algo
Theoretically Part of Naive Bayes Algo
MODULE 20 : Practically Implementation of Naive Bayesh Algo using Pyhton
Practically Implementation of Naive Bayesh Algo using Pyhton
MODULE 21 : Theoretically Part of Decision Tree Classifier
Theoretically Part of Decision Tree Classifier
MODULE 22 : Practically Part Of Decision Tree in Python Programming
Practically Part Of Decision Tree in Python Programming
MODULE 23 : Theoretically Part of Random Forest Algorithm
Theoretically Part of Random Forest Algorithm
MODULE 24 : Practicality Implementation of Random Forest Algo
Practicality Implementation of Random Forest Algo
MODULE 25 : Concepts of Overfitting and Underfitting
Concepts of Overfitting and Underfitting
MODULE 26 : Introduction of Unsupervaised Machine Learning
Introduction of Unsupervaised Machine Learning
MODULE 27 : Introduction of Unsupervaised Machine Learning
Introduction of Unsupervaised Machine Learning
MODULE 28 : Introduction of k-means Clustering
Introduction of k-means Clustering
MODULE 29 : Practically Implementation of K-means Clustering Using Python
Practically Implementation of K-means Clustering Using Python
MODULE 30 : Introduction of Deep learning
MODULE 31 : About Neural Network
About Neural Network3:55
MODULE 32 : Types of Neural Network
Types of Neural Network2:27
MODULE 33 : Introduction of CNN
Introduction of CNN4:07
MODULE 34 : About 1D and 2 Data
About 1D and 2 Data2:26
MODULE 35 : Image Processing and Computer Vision
Image Processing and Computer Vision3:17
MODULE 36 : About Max-Pooling
About Max-Pooling4:05
MODULE 37 : What is Flattening?
What is Flattening?4:12
MODULE 38 : What is Activation Functions?
What is Activation Functions?3:32
MODULE 39 : Types of Activation Function
Types of Activation Function2:28
MODULE 40 : Linear Activation Function
Linear Activation Function2:28
MODULE 41 : Threshold Activation Function
Threshold Activation Function1:41
MODULE 42 : Sigmoid Activation Function
Sigmoid Activation Function2:26
MODULE 43: Relu Function
Relu Function2:21
MODULE 44 : Leaky Relu Function
Leaky Relu Function2:34
MODULE 45 : SoftMax Activation
SoftMax Activation3:22
MODULE 46 : Back Propogation
Back Propogation6:43
MODULE 47 : Loss Function
Loss Function4:25
MODULE 48 : About Colab
About Colab4:11
MODULE 49 : What is bias?
What is bias?3:13
MODULE 50 : Gradient Dissent
Gradient Dissent3:45
MODULE 51 : About Libeary
About Libeary3:41
MODULE 52 : About Ann
About Ann5:30
MODULE 53 : How to Download Dataset
How to Download Dataset?5:08
MODULE 54 : Fetch Dataset in a Colab
Fetch Dataset in a Colab17:15
MODULE 55 : Divide the Data into two Part
Divide the Data into Two Part
MODULE 56 : Handle Cotogoriacal Data
Handle Cotogoriacal Data4:37
MODULE 57 : Split Data Into Training and Testing
Split Data Into Training and Testing11:16
MODULE 58 : Reshape the Dataset
Reshape the Dataset8:18
MODULE 59 : Importing Libeary
Importing Libeary00:00
MODULE 60 : Adding One Input Layr
Adding One Input Layr7:28
MODULE 61 : Adding Second Input Layer
Adding Second Input Layer5:29
MODULE 62 : About CNN
About CNN4:21
MODULE 63 : How to Load Data in Drive
How to Load Data in Drive4:00
MODULE 64 : How to Load Data Into a Colab from Drive
How to Load Data Into a Colab from Drive5:54
MODULE 65 : Importind Libeary for CNN
Importind Libeary for CNN10:47
MODULE 66 : Step to Build CNN Model
Step to Build CNN Model4:47
MODULE 67 : Inital the CNN and Make Convolutional
Inital the CNN and Make Convolutional4:34
MODULE 68 : Repaeat the 1 and 2 and Make Flatten Layer
Repaeat the 1 and 2 and Make Flatten Layer4:43
MODULE 69 : Full Connection Buid in CNN
Full Connection Buid in CNN3:21
MODULE 70 : Compile the CNN
Compile the CNN
MODULE 71 : Train the CNN Algo
Train the CNN Algo3:36
MODULE 72 : Test the CNN Algo
Test the CNN Algo3:48
73 – Intro of rnn4:18
74 – About lstm3:17
75 – Module about dataset2:15
76 – Fetch dataset from local into the colab6:08
77 – About libeary1:41
78 – Importing libeary7:10
79 – Read data set using pandas2:55
80 – Show data in a countplot using seaborn2:57
81 – Divide data into two part x and y0:09
82 – Apply tokenizer4:08
83 – Build rnn model6:26
84 – Compile rnn4:07
85 – Fit the rnn4:30
86 – Test the model3:40
87 – Show accurecy4:33
88 – About open cv2:44
89 – Instalation of opencv2:14
90 – Read and show images5:49
91 – Show image properties using open c2:55
Requirements
- Basic IT Skills
- Basic navigation skills on computer operating systems.
- Computer with a minimum of 4GB ram/memory.
- Knowledge and skills to use the Internet
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Frequently Asked Questions
About online artificial intelligence course in Delhi | Python Programming Language Course in Delhi
Artificial Intelligence can be defined as a research program that showcases how an intelligent human interaction can be copied to some machine that is working on programming and coding. The domains of AI as well as machine learning comprise computer science, psychology, neuroscience, data science, natural language processing, python coding language, mathematics, and many more.
Since computer science is taking place at every level of manual work methodologies, we are driving towards a future that will be highly based on Artificial Intelligence of the smart gadgets and devices that can work on their own by thinking like human beings. Courses like big data, robotics, and IoT, have already been introduced which basically work on the ideology of AI.
Yes, the procedures of doing AI required keen knowledge of programming languages like Python, LISP, Prolog, C++, and Java.
The fundamentals of doing Artificial Intelligence is to create a sound environment where organizations can rely on smart gadgets, devices, or machines that can detect, perform, complete a given piece of intellectual tasks or information on their own. They even prepare themselves to learn new things and act accordingly.
The 7 stages of AI are as follows:
• Stage 1- Rule Bases System.
• Stage 2- Context-awareness and Retention.
• Stage 3- Domain-specific aptitude.
• Stage 4- Reasoning systems.
• Stage 5- Artificial General Intelligence.
• Stage 6- Artificial Super Intelligence(ASI)
• Stage 7- Singularity and excellence.
Basically, AI procures machine learning technology to let the smart device, gadgets, and machines learn to mimic human behavior or intelligence at their own pace. These gadgets will learn to self-develop the solutions and respond to certain actions, commands, or questions. Hence, it utilizes algorithms and historical data to develop a course of actions called a propensity model which predicts actions and starts taking reactions accordingly
There are many courses duly available in the market that pitches for their courses to be the best in the domain but they charge higher than normal and teach a bit shorter curriculum in the original. Online Artificial Intelligence Course in Delhi duly delivered by Craw Cyber Security Institue is one of the best online courses in the domain of Artificial Intelligence with a low fee structure and higher curriculum with certification.
Yes, anyone with or without basic knowledge of programming languages can easily go for the online course but a piece of suitable information prior to joining the course of coding is optional. One can learn our Online Artificial Intelligence Course in Delhi via Craw Cyber Security Institute from the ground level and become an expert in the domain.
The starting placement salary of an AI Engineer is approximately 8 lakhs per annum which is higher in figures than other Engineering Graduates. It can go to INR 50 Lakhs Per Annum at higher levels with the growth of experience in the particular field.
Yes, Craw Cyber Security Institution offers its valuable Online Artificial Intelligence Course in Delhi after the completion of the 12th standard. You may enroll now by clicking on the “Add to Cart” section above or contact us on our IVR number at +91-9513805401 for more details.

₹2,999.00₹15,000.00
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Contact us : +91 951 380 5401 | 011-4039 4315
Join Online Training and Certification Course
- Course Duration : 40 Hours
- Course Level : Intermediate
- Language : Hindi, English
- Course Delivery : Onlne Training
- Include : Training & Certificate
- Course pdf : Click here to Download
Instructor Led Training
Artificial Intelligence Course in Delhi
- Blended learning delivery model (instructor-led options)
- Teaching style modified according to the student's issues
- Develops important personality and career building skills
- Group Discussions
- 24x7 learner assistance and support
- Weekdays / Weekend Classes
What You Can Become
Information Security Officer
Expected Salary: ₹10 L to ₹11.5 L
Companies: Oracle and Accenture
Computer Forensics Engineer
Expected Salary: ₹2.5 L to 25 L Per Annum
Companies: Intel and Deloitte
Ethical Hacker
Expected Salary: ₹6.13L to ₹7L Per Annum
Companies: Citi Bank and IBM
Network Security Engineer
Expected Salary: 3L to 9L per Annum
Companies: IBM and Genpect
Data Security Analysis
Expected Salary: ₹3L to ₹7L Per Annum
Companies: Infosys and Amazon.com
Material Includes
- Study Material
- Instructor Notes
- Software Toolkit
Target Audience
- Students
- Corporate
- Employee