Artificial Intelligence
The study of artificial intelligence (Artificial Intelligence) course focuses on how to replicate intelligent human actions on computers. Making a machine that can learn, plan, and solve issues on its own is Artificial Intelligence's ultimate goal.
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- Regular: 2 Batches
- Weekends: 2 Batches
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About Artificial Intelligence
We still are unable to create a machine that is completely as intelligent as a human being, despite the fact that Artificial Intelligence has been studied for more than fifty years. But we do have a lot of applications that work. In some circumstances, a computer with Artificial Intelligence technology maybe even smarter than we are. One well-known example is the Deep Blue computer program, which beat the world chess champion. Problem-solving, thinking, planning, comprehending natural language, computer vision, automatic programming, machine learning, and other areas are the primary research areas in Artificial Intelligence. These subjects are undoubtedly connected in some way. For instance, knowledge of artificial Intelligence via learning can be applied to both reasoning and problem-solving. In fact, studying is the best way to develop the ability to solve problems. Additionally, problem-solving techniques are beneficial for both planning and reasoning. Additionally, techniques created in the field of pattern recognition can be used to solve problems in both computer vision and natural language understanding. We will examine the most fundamental concepts necessary to comprehend Artificial Intelligence training in Gandhinagar. We'll cover some fundamental search techniques for reasoning, knowledge representation, pattern recognition, fuzzy logic, neural networks, and problem-solving. The Artificial Intelligence course in Gandhinagar is to give the students the most fundamental information so they can comprehend what artificial intelligence (Artificial Intelligence) is. Theoretical proofs and formal notations will be minimized due to the time cost of artificial Intelligencents so that the students may readily understand Artificial Intelligence in its entirety. Students that develop an interest in Artificial Intelligence may continue their education in graduate school.
Top Artificial Intelligence positions
Data Scientists
While an Artificial Intelligence researcher is tasked with coming up with innovative ways for Artificial Intelligence to solve problems, their findings are often forwarded to a group of data scientists, whose job it is to use these solutions in practical settings. As a result, their jobs are essential for properly understanding data and carrying out strategies to develop Artificial Intelligence models and practices. Fluency in programming languages like Python and R, as well as knowledge of algorithms and the frameworks used to create Artificial Intelligence models, are essential for success as a data scientist. As Data Scientists frequently collaborate in teams and need a solid knowledge of the analysis performed by Artificial Intelligence Researchers, excellent communication skills are also crucial. The elimination of the tendency for facial recognition software to incorrectly identify people with darker skin is a significant example of how Artificial Intelligence Researchers and Data Scientists collaborate. A team of Data Scientists is working to leverage this knowledge and re artificial Intelligencer the flaw to make the technology effective regardless of skin tone. A team of Artificial Intelligence researchers discovered that three widely used facial analysis algorithms worked better on light-skinned people.
Robotics researchers
Robotics scientists create and build mechanical devices to do tasks that can be used in conjunction with humans and support their activities, as opposed to data scientists who often programme technologies to find solutions. Robotics scientists are needed in a variety of industries because their knowledge may be used to show how "robots" might solve problems that humans are unable to solve on their own. Robotic technology, for instance, has been developed to perform colonoscopies and surgeries, with Artificial Intelligence robots programmed to look for potential cancer polyps. Robotics scientists are responsible for designing this software and artificial Intelligencening artificial intelligence on how to perform. As a result, they must be able to think innovatively, possess a good knowledge of mathematics and computer science, and own high-level programming skills.
What are the top five Artificial Intelligence positions?
Artificial intelligence (Artificial Intelligence) is pervasive and is quickly altering our artificial Intelligence lives, from modifications in transportation in the form of autonomous vehicles to adjustments in education such as instruction through virtual tutors. As a result, there is an increasing need for talent to develop the tools needed to deploy Artificial Intelligence in a number of industries, which has an impact on the growth of accessible jobs. The World Economic Forum estimates that 97 million new jobs would be produced by 2025 as a result of Artificial Intelligence breakthroughs, which will allow businesses and industries to expand. Numerous opportunities are anticipated to arise in a variety of professions and industries, both now and in the future, as a result of this sharp expansion in Artificial Intelligence use.
Researchers in Artificial Intelligence
An Artificial Intelligence researcher's job is to find novel ways to use artificial intelligence to get around obstacles and challenges that businesses are encountering. Typically, they would focus on comprehending sizable data sets and transforming its insights into concepts and strategies to create new Artificial intelligence technology that can be used by data scientists. Soft skills like critical thinking are essential for being an excellent Artificial Intelligence researcher because the position frequently requires to be artificial Intelligencenstorming to come up with fresh ideas. Mathematical proficiency is also necessary in order to predict how Artificial Intelligence programs would behave using statistics, as well as experience analyzing data using applications like RapidMiner or sketch engine.
Scientists in data
While an Artificial Intelligence researcher is tasked with coming up with innovative ways for Artificial Intelligence to solve problems, their findings are often forwarded to a group of data scientists, whose job it is to use these solutions in practical settings. As a result, their jobs are essential for properly understanding data and carrying out strategies to develop Artificial Intelligence models and practices. Proficiency in programming languages like Python and R, as well as knowledge of algorithms and the frameworks used to create Artificial Intelligence models, are essential for success as a data scientist. As Data Scientists frequently collaborate in teams and need a solid knowledge of the analysis performed by Artificial Intelligence Researchers, excellent communication skills are also crucial. Overcoming the issue where darker-skinned people are more likely to be incorrectly identified by facial recognition technology is one famous example of how Artificial Intelligence Researchers and Data Scientists collaborate. Three widely used facial analysis algorithms were found by an Artificial Intelligence research team to perform better on light-skinned individuals, but a team of data scientists is striving to leverage this information and re artificial Intelligencer the flaw to make the system effective regardless of skin tone.
Engineers in Machine Learning
Machine Learning develops potent prediction models from a technology-based analysis without being technically programmed but comprehending the surrounding regularities in data, whereas data scientists work on information based on "data" and human learning gathered by Artificial Intelligence Researchers. To learn more about the distinctions between data science and machine learning, read our blog. This approach produces significant alternative outcomes that can hasten the process of finding new solutions or discovering gaps that are difficult to see with the naked eye. Therefore, it falls to machine learning engineers to create self-running Artificial Intelligence system that will automate these prediction models and improve their performance. In most cases, they will collaborate with Artificial Intelligence researchers to comprehend the data that Machine Learning will be used to analyze and interact with the data scientists, IT, and software teams. Strong analytical abilities and practical machine learning package experience are essential for success in this position.
Online Classes
Your proficiency in Advanced Artificial Intelligence must be artificial Intelligencened within a month, according to the requirements of the online artificial intelligence artificial Intelligencening Classes in Gandhinagar. The same procedures used in our normal Artificial Intelligence Artificial Intelligencening will be used for practical education and learning during real project sessions. We are one of the leading providers of online Artificial Intelligence training in India and help students get jobs by providing placement support. Sign up for a free demonstration to receive illustrative lessons on Artificial Intelligence techniques from real people. In robots created to behave and think like people, artificial intelligence (Artificial Intelligence) is the imitation of human intelligence. Online artificial intelligence course in Gandhinagar can help in predicting and minimizing the risks associated with Artificial Intelligence technology, enabling people to contribute today before it's too late.
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 |
---|---|---|---|---|---|
16/12/2024 |
Artificial Intelligence |
Online | Regular Batch (Mon-Sat) | Gandhinagar | Book Now |
17/12/2024 |
Artificial Intelligence |
Online | Regular Batch (Mon-Sat) | Gandhinagar | Book Now |
21/12/2024 |
Artificial Intelligence |
Online | Weekend Batch (Sat-Sun) | Gandhinagar | Book Now |
21/12/2024 |
Artificial Intelligence |
Online | Weekend Batch (Sat-Sun) | Gandhinagar | Book Now |
Students Reviews
This SevenMentor's course appeared to be fantastic and well worth it because it was highly educational and simple to understand.
- Nita Sangde
Every issue is clarified by this instruction, and the professors are incredibly patient!
- Pranjal Shetty
I had a great time in this Artificial Intelligencening and learned a lot. Without a doubt it is worthwhile!
- Rajesh Tupe
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Corporate Training
Using this Corporate Artificial Intelligence Certification Course in Gandhinagar, you may employ artificial intelligence to automate key business processes. Through the use of Deep Learning and Machine Learning techniques, the Corporate Artificial Intelligence Classes in Gandhinagar instruct students on how to develop artificial intelligence systems for your business. You and company employees can now learn the most difficult skill in the world and perfect it as soon as feasible. Your company's and employees' knowledge will soar if you earn this certification in artificial intelligence. With the help of our specialists at SevenMentor Institute, you have a fantastic opportunity to learn about and research the Artificial Intelligence problem. You should definitely take this course since it will be really helpful.
Our Placement Process
Eligibility Criteria
Placements Training
Interview Q & A
Resume Preparation
Aptitude Test
Mock Interviews
Scheduling Interviews
Job Placement
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