Artificial Intelligence
Artificial intelligence Course in Jharkhand is a broad field of intelligence evidenced by the ability of intelligent computers to accomplish activities that normally require human intelligence. The BTech in Artificial Intelligence is intended to assist students in the development of intelligent machines, computer software, or applications using a combination of machine learning.
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About Artificial Intelligence
AI is the outcome of human Intelligence and it substantiates the integrity of human espionage. The AI Training course in Jharkhand assists in the development of intelligent solutions in a range of sectors.
Artificial Intelligence classes in Jharkhand
The Btech in Artificial Intelligence course in Jharkhand, also known as the Bachelors of Technology in Artificial Intelligence, is a four-year undergraduate degree programme in a non-medical track. The primary purpose of Artificial Intelligence training in Jharkhand is to programme computers to solve problems by using example data or experience. Students are taught various computer science languages that can be utilized to interact with humans.
Computer science & AI classes in Jharkhand
Artificial intelligence (AI) is a wide intelligence demonstrated by intelligent machines' capacity to perform tasks that would typically need human intelligence. The BTech in Artificial Intelligence is designed to help students construct intelligent machines, computer software, or applications through the use of machine learning. This AI training aids in the development of intelligent solutions across a variety of industries.
In terms of the Btech in Artificial Intelligence,
The Btech in Artificial Intelligence, commonly known as the Bachelors of Technology in Artificial Intelligence, is a four-year non-medical undergraduate grade programme. The basic goal of Artificial Intelligence is to teach computers how to solve issues by using example data or experience. Students are taught numerous computer science languages that can be used to interact with one another.
So, which field should a student pursue? The solution is straightforward. If a person is interested in the intelligence aspect of computers and machine building, he should pursue AI; nevertheless, if the person is more interested in conceptual and orthodox studies about computers and their models, he should pursue CS as his career path. If you are interested in AI and want to learn new things, then choose Artificial Intelligence; otherwise, Computer Science is your best bet. In computer science, there are programmes for everything, written in languages that only qualified specialists understand. This is referred to as coding. AI, on the other hand, represents the end of coding as well as the end of computers.
Artificial Intelligence's Scope in India
Artificial intelligence has a bright future in India. Artificial intelligence has enormous potential to transform every sector of the economy for the betterment of society. AI does not refer to a single technology, but rather to a collection of valuable technologies such as self-improving algorithms, machine learning, big data, and pattern recognition. There will soon be no industry or sector in India that is unaffected by this formidable weapon. This is why there is a growing need for Artificial Intelligence courses in India.
In India, the application of artificial intelligence is still in its early stages, but it is gradually being employed to develop clever answers to modern challenges in practically all important areas.
Learning -
AI can help improve the strength of our instructors through a variety of AI applications such as text translation systems, real-time message to speech, automating mundane and also repeated tasks such as taking attendance, automating grading, and also customising the learning journey based on ability, understanding, and experience. The scope of Artificial Intelligence education and learning considers the prospect of employing AI-powered rating robots that can evaluate unbiased solutions. This is gradually being implemented in educational institutions. Other applications of AI in education include real-time text-to-speech systems and text translation systems.
Artificial Intelligence & Data Science
AI is the biggest topic in technology and commerce right now, and data science is crucial to how it works. Data science courses now all include a strong AI component, and a few schools are now offering specialist undergraduate degrees in AI.
The growing number of colleges and universities offering courses in these topics reflects industry-wide expectations that those with formal training and accreditation will have a plethora of profitable options.
The terms "Data Science" and "Artificial Intelligence" are frequently used interchangeably. While Data Science can help with some areas of AI, it cannot cover all of them. Today, data science is the most popular field in the world.
However, true Artificial Intelligence is still a long way off. While many people mistake modern Data Science for Artificial Intelligence, this is simply not the case. So, to clear up any confusion, let's look at Data Science vs Artificial Intelligence.
What exactly is data science?
Data Science is the current dominant technology that has taken over industries all around the world. It has resulted in the world's fourth industrial revolution.
This is due to the tremendous increase in data and the growing necessity for industries to rely on it.
What exactly is Artificial Intelligence (AI)?
Machine intelligence is referred to as artificial intelligence. It is based on the natural intelligence that animals and people have. Algorithms are used in artificial intelligence to conduct autonomous behaviours.
These autonomous activities are similar to those that have been successful in the past.
Many traditional Artificial Intelligence algorithms had clear aims, such as pathfinding algorithms like A*. However, modern AI algorithms, such as deep learning, comprehend the patterns and identify the goal hidden in the data.
Artificial intelligence also employs several software engineering principles in the development of solutions to current challenges.
What Is the Difference Between Artificial Intelligence and Data Science?
Let's begin our investigation of Data Science vs Artificial Intelligence with the following points -
AI Constraints in the Modern Era
Artificial intelligence and data science are terms that can be used interchangeably. However, there are some distinctions between the two fields. The term "Artificial Narrow Intelligence" refers to the type of AI that is now being employed around the globe.
Computer systems, unlike humans, do not have complete autonomy and consciousness under this sort of intelligence. Rather, they can only accomplish activities for which they have been trained.
For example, an AlphaGo may be able to overcome the world's No. 1 Go champion while remaining unaware that it is playing AlphaGo. That is, it lacks a conscious mind.
The Fundamental Gap Between Data Science and Artificial Intelligence
The Data Science process includes pre-processing, analysis, visualisation, and prediction. Artificial intelligence, on the other hand, is the application of a predictive model to forecast future events.
Data Science makes use of a variety of statistical methods, whereas AI makes use of computer algorithms.
Data Science tools are significantly more comprehensive than those utilised in AI. This is because Data Science comprises several processes for analysing data and gaining insights from it.
The purpose of data science is to discover hidden patterns in data. The purpose of AI is to empower the data model.
Data Science is used to construct models based on statistical data.
Online Classes
Applicants can master from the comfort of their own homes because the courses are structured in this manner. A plethora of institutes in Jharkhand provides online Artificial Intelligence courses. Students can learn more about artificial intelligence by attending live lectures on our website. Daily, Online Artificial Intelligence Training in Jharkhand educates and tests applicants on the subject. SevenMentor's learning options include video meetings and recorded information. Our trainers are well-versed in student training and keep a close eye on each student's progress by paying special attention to their profile. Following the training, there is a well-structured framework in place for training and completing assessments every week.
Course Eligibility
- Freshers
- BE/ Bsc Candidate
- Working Professional
- Any Graduate
- Any Post-Graduate
- Developers
Syllabus of Artificial Intelligence
- 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
Trainer Profile of Artificial Intelligence
Our Trainers explains concepts in very basic and easy to understand language, so the students can learn in a very effective way. We provide students, complete freedom to explore the subject. We teach you concepts based on real-time examples. Our trainers help the candidates in completing their projects and even prepare them for interview questions and answers. Candidates can learn in our one to one coaching sessions and are free to ask any questions at any time.
- Certified Professionals with more than 8+ Years of Experience
- Trained more than 2000+ students in a year
- Strong Theoretical & Practical Knowledge in their domains
- Expert level Subject Knowledge and fully up-to-date on real-world industry applications
Artificial Intelligence Exams & Certification
SevenMentor Certification is Accredited by all major Global Companies around the world. We provide after completion of the theoretical and practical sessions to fresher’s as well as corporate trainees.
Our certification at SevenMentor is accredited worldwide. It increases the value of your resume and you can attain leading job posts with the help of this certification in leading MNC’s of the world. The certification is only provided after successful completion of our training and practical based projects.
Proficiency After Training
- Machine Learning- Image Processing and Concept core to advance.
- Information designing, undertaking and analysing -Research scientists.
- Networks, operating systems, databases or applications-Software Engineer.
- Safeguard organization's computer networks and systems- Information Security Engineers.
- Studies the software application domain, prepares software requirements, and specification documents- Software Analyst.
Key Features
Skill level
From Beginner to Expert
We are providing Training to the needs from Beginners level to Experts level.
Course Duration
12 weeks
Course will be 90 hrs to 110 hrs duration with real-time projects and covers both teaching and practical sessions.
Total Learners
2000+ Learners
We have already finished 100+ Batches with 100% course completion record.
Frequently Asked Questions
Batch Schedule
DATE | COURSE | TRAINING TYPE | BATCH | CITY | REGISTER |
---|---|---|---|---|---|
21/10/2024 |
Artificial Intelligence |
Online | Regular Batch (Mon-Sat) | Jharkhand | Book Now |
15/10/2024 |
Artificial Intelligence |
Online | Regular Batch (Mon-Sat) | Jharkhand | Book Now |
19/10/2024 |
Artificial Intelligence |
Online | Weekend Batch (Sat-Sun) | Jharkhand | Book Now |
19/10/2024 |
Artificial Intelligence |
Online | Weekend Batch (Sat-Sun) | Jharkhand | Book Now |
Students Reviews
The teaching team was so patient, and his description was so clear, that anyone with a little background in programming could understand what he was saying.
- Umesh Tondle
I had an excellent learning experience that will surely serve me well in the future. I'd like to express my gratitude to all of the faculty members who assisted me throughout the course, especially Sir. It is very recommended.
- Kamini Pandit
The presentation was both intriguing and educational. I discovered a lot about data science and Xcel. These sessions aroused my interest in learning data science and pursuing a career as an AI engineer.
- Paras Patel
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Corporate Training
Learning new abilities is critical for the workforce. Employees are taught organisational norms as well as technical skills. When it comes to technology in the workplace, it is critical, and those who take a corporate Artificial Intelligence classes in Jharkhand farewell. The concentration is on output, and the skills supplied must help with this. SevenMentor & Training Pvt. Ltd.. is a business and student training institute. When employees or professionals follow the instructions provided by the SevenMentor Training Pvt. Ltd.. facility, they are encouraged and skilled. Professionals interested in a career in networking might benefit from learning technologies such as Corporate Artificial Intelligence course in Jharkhand. Corporate AI training in Jharkhand is one of the most well-known and essential certificates available to IT infrastructure experts.
Our Placement Process
Eligibility Criteria
Placements Training
Interview Q & A
Resume Preparation
Aptitude Test
Mock Interviews
Scheduling Interviews
Job Placement
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