Artificial Intelligence
According to experts, Artificial Intelligence Course in Shergarh is a factor of production that can open up new avenues for growth and alter how labor is performed across industries.
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About Artificial Intelligence
Possibilities to lead the technology in a right and fast-paced method.
Currently, one of the most popular buzzwords in technology is artificial intelligence (AI), and for good reason. Over the past few years, several inventions and developments that were previously only seen in science fiction have steadily come to pass.
Describe the term Artificial Intelligence.
AI and human brilliance are equal but not proportionate, due to the intelligence humans have. A robot operated by a computer, a software program, or a computer system can be made to think intelligently like a human mind using artificial intelligence. Artificial Intelligence training in Shergarh is made possible by researching the cognitive process and human brain patterns. These studies' findings help create systems and software that are intelligent.
Background of Artificial Intelligence
Artificial Intelligence was born between 1950 and 1956.
This was the period when interest in Artificial Intelligence classes in Shergarh peaked. Alan Turing's paper "Computer Machinery and Intelligence" eventually became The Turing Test, which specialists used to test computer intelligence. The phrase "artificial intelligence" was coined and became widespread.
Important dates to remember:
Alan Turing wrote "Computer Machinery and Intelligence" in 1950, which presented The Imitation Game as a test of computer intelligence.
In 1952, a computer scientist named Arthur Samuel created the first checkers learning program.
John McCarthy presented a workshop on "artificial intelligence" at Dartmouth in 1955, which was the first time the term was used and how it became popular.
Artificial Intelligence maturation occurred between 1957 and 1979.
The period between the invention of the term "artificial intelligence" to the 1980s was one of great growth and struggle for Artificial Intelligence research. The late 1950s and early 1960s were a period of creation. Artificial Intelligence quickly became a mainstream concept, with programming languages that are still used today and books and films that addressed the idea of robots.
The 1970s saw comparable advancements, from the first anthropomorphic robot produced in Japan to the first autonomous car built by an engineering graduate student. However, it was also a difficult period for Artificial Intelligence research because the United States government needed to show more interest in continuing to fund Artificial Intelligence research.
The boom in artificial intelligence (AI): 1980-1987
The majority of the 1980s experienced a period of rapid growth and interest in Artificial Intelligence, dubbed the "Artificial Intelligence boom." This was due to both advancements in research and increased government funding to assist researchers. Deep Learning techniques and the use of Expert Systems became more common, allowing computers to learn from their mistakes and make their own decisions.
Characteristics of AI
Artificial Intelligence is all about smart technologies replacing human intelligence.
The concept of artificial intelligence has been in the spotlight since World War II, and since John McCarthy coined the phrase in 1956, there has been no turning back. Artificial Intelligence Course in Shergarh has become a must-have issue for nearly all enterprises, including the automotive, entertainment, healthcare, marketing, and science and technology industries. Most of them have included them in their businesses due to their versatility and numerous benefits. Artificial Intelligence training in Shergarh has become a hot topic, and it is revolutionizing our lives as a result of enormous investment in this technology. Artificial intelligence (AI) has carved out a position in the ICT (Information and Communications Technology) business, and people are both eager and apprehensive to reskill and adapt.
1. Feature Engineering
Many concepts of AI cant assure to be like humans, that is the power already a human owns.
The process of determining a suitable nominal set of attributes or features from a given dataset of information is known as feature extraction. The performance is heavily reliant on selecting the correct set of features rather than the incorrect ones.
The efficient feature extraction technique involves the following steps: -
When classifying datasets, the fundamental heuristic is to lower the entropy of the system being modeled. When a classification system has been reduced to the point where it cannot be further divided, feature selection can be recycled and applied to another dataset. In other words, Artificial Intelligence classes in Shergarh can maximize knowledge gain.
Various feature selection techniques are employed to choose a subset of the features based on their significance in the model. This subset is chosen so that it does not correlate with other features, attaining feature-set independence. This goal is achieved by the use of techniques such as the Gram-Schmidt orthogonalization process, Principal Component Analysis (PCA), and others.
2. Artificial Neural Networks
The beneficial aspect is built only on human creativity.
Artificial Neural Networks (ANN), also known as neural networks (NNs), are based on a collection of connected nodes known as artificial neurons, which are similar to human brain cells. After processing, each link transfers a signal from one neuron to another. The output of each neuron generates a real value for a signal at a connection using some nonlinear function. The connections are also known as edges. Algorithms help to aggregate neurons in different layers for distinct transformations. Signals typically go from the first to the last layer numerous times. There are two kinds of networks. The first is a feedforward neural network, commonly known as an acyclic network because the signal only flows in one direction.
3. Deep Learning
The worldwide achievement of using Artificial Intelligence will soon cross human intelligence.
The modern world is loaded with data, and with the help of deep learning, the digital world is developing into a beautiful place. It is a machine-learning technology that trains computers to think like humans. When compared to Artificial Neural Networks, the architecture of this technology contains numerous hidden layers between the input and output layers. Along with classification learning, the deep learning architecture performs automatic feature extraction following extraction. It has considerably enhanced the performance of numerous programs, including computer vision, image classification, speech recognition, and others. Despite sophisticated architecture or several hidden layers, the model's performance can be improved using high-speed parallel-computing GPUs.
4. Intelligent Robotics
Robotics is the junction of engineering, science, and technology that develops programmable machines known as robots that can aid people or mimic human actions. Robots were originally designed to undertake repetitive chores, but they have now grown to perform domestically, commercially, and militarily. Each robot developed nowadays has a variable amount of autonomy to carry out activities without any external influence, ranging from human-controlled bots to autonomous bots.
Robot-based games have paved the way for the gaming industry's future wave. Companies have begun to produce robots that incorporate physical activity and inventiveness for the ultimate gaming experience.
Artificial Intelligence Techniques
AI's rate of improvement has been regarded as an exponentially increasing feature. Artificial Intelligence mimics human intelligence by utilizing algorithms to comprehend human goals or techniques to achieve those goals. It connects goal searching, data processing, and acquisition for a better understanding of the goal. Taking this into account, below are four Artificial Intelligence techniques.
Acting humanly- When a computer acts exactly like a human being and it is difficult to tell the difference using technologies like natural language processing, automated reasoning, machine learning, and automated reasoning. The Turing test, also known as the imitation game, assesses whether or not a machine can display human intellect in the absence of physical interaction.
Human-like thinking - When a computer thinks like a human and performs activities that need human intelligence, such as driving a car. The cognitive modeling approach is used to figure out how people think. It employs three methods: introspection, psychological assessment, and brain imaging. This style of human thinking is also used in psychology and medicine to create realistic simulations when they are required.
Thinking logically- The standard study of how humans think employs some standards that aid in the formulation of human behavior norms. A person is considered rational (reasonable, smart, and wise), and the computer thinks rationally based on recorded behaviors and solves problems logically. In other words, dealing with a specific issue is not the same as dealing with a general issue.
Acting Rationally- The study of how humans act in the face of uncertainty or complexity is fully dependent on rational agents. To maximize the expected value of their performance, actions, like logical cognition, are dependent on conditions, external causes, and present facts. It often relies on a black box or engineering method to achieve the goal. The capacity of thinking a robot owns is built according to a master builder of AI.
Online Classes
Getting effective training in some of the trending niches is essential to improve your career possibilities. There are plenty of Courses put forward by SevenMentor & Training Pvt. Ltd. The Online Artificial Intelligence course in Shergarh is an effective course to learn. Our trainers coach you with well-structured training. We accomplish many study materials to learn and practice. We give practice tests and theoretical tests to improve your knowledge. Our placement cell is one of the benefits a candidate can gain. SevenMentor focuses on your development. Artificial Intelligence course in Shergarh is one of the best courses that we train students.
Course Eligibility
- Freshers
- BE/ Bsc Candidate
- Working Professional
- Any Graduate
- Any Post-Graduate
- Developers
Syllabus 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
Beginner, Intermediate, Advance
We are providing Training to the needs from Beginners level to Experts level.
Course Duration
90 Hours
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.
Assignments Duration
50 Hours
Trainers will provide you the assignments according to your skill sets and needs. Assignment duration will be 50 hrs to 60 hrs.
Support
24 / 7 Support
We are having 24/7 Support team to clear students’ needs and doubts. And special doubt clearing sessions every week.
Frequently Asked Questions
Batch Schedule
DATE | COURSE | TRAINING TYPE | BATCH | CITY | REGISTER |
---|---|---|---|---|---|
09/12/2024 |
Artificial Intelligence |
Online | Regular Batch (Mon-Sat) | Shergarh | Book Now |
10/12/2024 |
Artificial Intelligence |
Online | Regular Batch (Mon-Sat) | Shergarh | Book Now |
07/12/2024 |
Artificial Intelligence |
Online | Weekend Batch (Sat-Sun) | Shergarh | Book Now |
07/12/2024 |
Artificial Intelligence |
Online | Weekend Batch (Sat-Sun) | Shergarh | Book Now |
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Corporate Training
SevenMentor & Training Pvt. Ltd. conducts effective training for the candidates. Employees can increase their skills by joining our institute. We offer tremendous training and different courses to learn. One of the trending courses is the corporate Artificial Intelligence course in Shergarh. Employees can increase the chances of their career development learning at our institute. We encourage candidates to learn and improve their personal development. The confidence level of each candidate is improved. It becomes easy for the employees to crack interviews and tests being conducted by the recruiters. We emphasize giving the best and latest queries to learn. Candidates can self-develop using our study materials and the notes provided. Artificial Intelligence course in Shergarh can give you the benefits of the current era of technology.
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