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Artificial Intelligence Training in Chandigarh

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Your job chances will be captivated by our Artificial Intelligence Course.

  • This course introduces some of the basics of artificial intelligence to those who are just getting started. Learn about what artificial intelligence is and explore the main approaches and research areas in this course.
  • Throughout the course, artificial intelligence is presented as an advantage as well as a potential hazard. We begin by covering neural networks, which is followed by a discussion of advanced topics.
  • Having a basic knowledge of neural networks will help you better comprehend how they function. It is as important to learn how to generalize neural networks as it is to learn how to train them. We have developed a curriculum based on industrial artificial intelligence that is affordable.
  • In the next step, we will create real-world applications using different neural networks. To achieve this goal, you must improve your skills in solving complex computer problems.
  • Besides learning artificial intelligence, you'll gain insight into ethical and bias issues as well. You will also demonstrate AI in action with a mini-project.
  • When you apply a generic, real-world approach to all concepts, you become independent and capable of solving any problem.
  • Using artificial intelligence as an introduction to coding and computer science without requiring prior coding or computer science experience is our goal.
  • Concepts: Data Science, Python, Python basic and Packages, Importing Data, Manipulating Data, Statistics Basics, Error Metrics, Machine Learning, Unsupervised Learning, SVM, SVM Kernal, Other Machine Learning algorithms, Deep Learning Algorithms, NLP, Text to Features, Tasks of NLP.
  • Classroom Batch Training
  • One To One Training
  • Online Training
  • Customized Training
  • Enroll Now

Course Objectives

The use of AI can eventually have an effect on several sides of human life instead of simply laptop and space-related industries. It also plays a major role in intending, finance, and even the legal business. Studying AI now can serve you for a job as a software engineer researching neural networks, human-machine interfaces, and quantum artificial intelligence. You could also serve as a hardware engineer developing electronic parking attendants or home companion robots.

    Through these AI courses, you may find out how to use Python libraries like NumPy, SciPy, Scikit-Learn, and essential Machine Learning techniques, like supervised and unsupervised learning, excellent conceptions including artificial neural systems, and covers of data abstraction and TensorFlow.

  • Big Data Engineer.
  • Business Intelligence Developer.
  • Data Scientist.
  • Machine Learning Engineer.
  • Research Scientist.
  • AI Data Analyst.
  • Product Manager.
  • AI Engineer.

    Artificial intelligence can rework the worldwide economy, and AI jobs are in high demand. Getting an education in AI is difficult and needs persistence and private initiative. AI careers are future-proof, which means they're possible to survive well into the future. There is a range in producing machines in robotics, computer vision, language detection machine, game playing, expert systems, speech recognition machine, and many also.

  • Scikit Learn.
  • TensorFlow.
  • Theano.
  • Caffe.
  • MxNet.
  • Keras.
  • PyTorch.
  • CNTK.

    Python code is affordable by individuals, which makes it easier to construct models for AI. Various software system engineers state that Python is a lot more intuitive than different programming dialects. Others talk about multiple systems, libraries, and augmentations that improve the execution of assorted functionalities.

    To understand it, certify you've got some basic information about algebra and applied mathematics. computing – use the course to learn the fundamentals of AI. Previous programming information and skill is needed (they use Python as the main programming language), also as a background in mathematics.

What is the average payroll of an Artificial intelligence Engineer?

    The entry-level annual average AI engineer regular payment in India is around Rs. 8 lakhs, which is considerably over the common regular payment of the other engineering graduates. At high-level positions, the AI engineer's regular payments are often as high as Rs. 50 lakhs.

Does Artificial intelligence necessary coding knowledge?

    Yes, programming is needed to know and develop solutions to the using of computer science. The five languages that facilitate the sphere of AI are Python, LISP, Prolog, C++, and Java.

How do I become Artificial Intelligence?

    You require to do a Bachelor's degree in IT, engineering, Statistics, Data Science, Finance, Master's degree in engineering, arithmetic, science, data science. Certifications in Data Science, Machine Learning, etc.

What are the advantages of the Artificial Intelligence Certification Training Course?

  • Reduction in Human Error.
  • Reduces human errors.
  • Available 24x7.
  • Helping in Repetitive Jobs.
  • Digital Assistance.
  • Faster Decisions.
  • Daily Applications.
  • New Inventions.

What are the great ideas about Artificial Intelligence?

  • Automation.
  • Smart Decision Making.
  • Enhanced Customer Experience.
  • Medical Advances.
  • Research and Data Analysis.
  • Solving Complex Problems.
  • Business Continuity.
  • Managing Repetitive Tasks.
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Overview of Artificial Intelligence Training in Chandigarh

The purpose of Artificial Intelligence is to enhance human capabilities, and to enable us to make accurate and effective decisions. That’s the answer from a technical standpoint. From a philosophical perspective, Artificial Intelligence has the potential to help humans enjoy more meaningful lives without having to work hard, and to manage the complex interconnected web of individuals, companies, states, and nations in a way that's beneficial to all.


Additional Info

Roles and Responsibilities of Artificial Intelligence:

The following are among the roles available to Artificial Intelligence Specialists:

  • Science researchers (tasked with planning, conducting, and analyzing research projects)
  • Software Engineer (focused on a few areas of development, including networks, operating systems, databases, or applications)
  • C# developer (able to handle many aspects of developing an application, including but not limited to scalability, safety, and testing.)
  • Engineers in information security (protect networked systems and networks in an organization)
  • Manages all phases of software development (design, installation, testing and maintenance of software systems.)
  • Developers of Java (specialised types of programmers who integrate Java into business applications, software and websites).
  • Software Analyst (describes software requirements and specification documents based on analysis of the software application domain.)

Types of Artificial Intelligence:

All types of AI do not cover all these areas at the same time. The purpose of different Artificial Intelligence entities is what determines their differences. (Based on functionalities) Artificial Intelligence can be classified into 3 types:

  • Artificial Narrow Intelligence (ANI)
  • Artificial General Intelligence (AGI)
  • Artificial Super Intelligence (ASI)
Artificial Narrow Intelligence (ANI)?

The market is most commonly dominated by this form of artificial intelligence right now. In these Artificial Intelligence systems, a single task will be able to be performed perfectly. The capabilities they offer are narrow by definition, like recommending products for online shoppers or predicting the weather. There is only one type of Artificial Intelligence in existence today. Often, they perform very well in very controlled environments with a limited set of parameters, coming close to human performance in very specific situations and exceeding it.

Artificial General Intelligence (AGI)?

AGI is still an academic concept. A human-level AI is one that has cognitive capabilities comparable to those of humans, spanning a wide range of domains such as language processing, image processing, computational thinking, and so on.

The AGI system is still quite a way off. To mimic human reasoning, an Artificial General Intelligence system would have hundreds of Artificial Broad Intelligence systems working together. It has taken them about 40 minutes to simulate a single second of neuronal activity, even with the most sophisticated computing systems and infrastructures like Fujitsu's K and IBM's Watson. It also illustrates the magnitude of the challenge of creating an AGI with our current resources because of the intricacy and interconnectedness of the human brain.

Artificial Super Intelligence (ASI)?

ASI represents the logical progression from AGI and almost borders on science-fiction territory. We can surpass human intelligence with a computer system that simulates artificial super intelligence (ASI). Making better art, building emotional relationships, and taking rational decisions are all components of decision making.

We can expect AI systems to rapidly advance into realms that we could never even imagine once we achieve Artificial General Intelligence. Despite the disparity between AGI and ASI being relatively small (some argue as little as a nanosecond, because that's how fast AI learns), the long journey ahead of us towards AGI itself makes this seem like a concept far into the future.

Why is artificial intelligence important?

AI automates repetitive learning and discovery through data. AI automates frequent, high-volume, computerized tasks, instead of automating manual tasks. This makes it dependable and fatigue-free. The human component is still important for setting up the system and asking the right questions.

AI adds intelligence to existing products. AI is going to be incorporated into products you already use, much like Siri is becoming a feature of Apple's new line of products. By combining automation, conversational platforms, bots, and smart machines, it is possible to improve a wide range of technologies. Smart cameras, security intelligence, and investment analysis are examples of upgrades at home and in the workplace.

AI adapts through progressive learning algorithms to let the data do the programming. Artificial intelligence can help algorithms as it finds structure and regularity in data. Online recommendations can be learned by an algorithm, just like chess can be learned by an algorithm. A new set of data is fed into the models, and the models adapt.

AI uses neural networks with many hidden layers to analyze more and deeper data. Once upon a time, it was impossible to develop a fraud detection system where five layers are hidden. The advent of massive data sets and incredible computing power has changed everything. A deep learning model, which learns directly from data, requires a lot of data to train.

Deep neural networks are capable of achieving incredible accuracy through AI. Alexa and Google, for example, use deep learning to enhance your interactions. The more you use these products, the more accurate they become. The use of AI techniques such as deep learning and object recognition in the medical field is improving the accuracy of cancer detection on medical images.

AI gets the most out of data. Algorithms that self-learn benefit from the data themselves. Answers can be found in the data. To find them, you just need to use artificial intelligence. It can increase a company's competitive edge because data plays a more vital role today than ever before. Regardless of how similar everyone's techniques are, the best data will win in a competitive industry.

Benefits of Artificial Intelligence

Artificial intelligence holds both great promise and many benefits.

1. For the Economy, Business, and Industries.

The economy can benefit from artificial intelligence by advancing the evolution of work. Humans will be able to do their jobs better using robots and artificial intelligence, not have their jobs taken away. Humans combined with machines won't be able to stop them.

Deep learning and machine learning can enable AI to become smarter over time, increasing a business' efficiency. AI can also help reduce human error and study historical data in order to save money.

It will become increasingly important to use facial recognition, pattern recognition, and content analysis tools. Enhanced capabilities will benefit academic research, health science companies, and technology companies.

2. For Humanity and Society

As a result, new opportunities are created thanks to the advancement of artificial intelligence. Our goal is to generate new revenue streams, save money, and create jobs.

A search algorithm using artificial intelligence provides targeted information to enhance users' lifestyle choices. Data entry and email answering will be handled by artificial intelligence. With AI-powered smart homes, you can reduce your energy consumption and improve security.

The improvement of technology has resulted in the elevation of humankind throughout history. Consider the home and the automobile as examples of electricity. Eventually, artificial intelligence may surpass these activities because machines can aid humans in solving more significant, more complex social problems. It will be an era of innovation, with better quality of life.

Human creativity can be greatly increased by artificial intelligence if it is able to handle repetitive tasks. The time available for learning, experimenting, and exploring will increase.

3. In health care and medicine,

An AI wearable will improve diagnostics because the service monitors the user 24/7. By using artificial intelligence, people can gain a deeper understanding of medicine. Doctors can treat patients more effectively using AI-based image diagnosis.

Top Artificial Intelligence Tools/Frameworks

In the twenty-first century, artificial intelligence makes things easier and better every day. Open-source AI tools are already being developed by large companies, such as Google, Facebook and Amazon. In this section we are going to look at a few of the most used AI frameworks and tools.

1. Caffe in Artificial Intelligence Tools

As a deep learning framework favored by AI engineers and even enterprise users for its speed, Caffe was developed by Berkeley Vision and Learning Center. It is capable of processing more than 50 million images in one day with Caffe. Projects related to research, speech, multimedia, and visions are some of the areas where Caffe is extensively used.

2. Tensor Flow

Tensor flow was developed by Google, and it is used to perform numerical computations. A data flow graph is used to carry out the computation

3. Theano in Artificial Intelligence Tools

A very popular open-source library, Theano was developed at the University of Montreal, Quebec, Canada by the LISA group. There are only a few differences between Tensor flow and Theano.

In comparison to Tensor flow, Theano supports a broader range of operations than Tensor flow.

4. Keras in Artificial Intelligence Tools

It is a Python-based library that is used to build neural network applications. Tensor Flow, Theano, and others can be used with it. The project was developed by Francois Chollet, a Google engineer.

This is how Keras works: it doesn't handle any low-level computations, but instead uses other libraries such as Theano and Tensor flow to do it. It is composed of a high-level API and losses and optimizer functions that handle high-level API.

5. Scikit-Learn in Artificial Intelligence Tools

Scikit-Learn is another open-source machine learning library, this time written in Python. Python programs can utilize Scikit Learn for supervised and unsupervised machine learning.

The sci-kit-learn library is based on Scientific Python and must be installed before it can be used. Sci-kit learn offers the following features:

  • NumPy: An open-source Python library that includes a lot of mathematical functions and can handle large and multi-dimensional arrays.
  • SciPy: A library of scientific and technical modules, including those for linear algebra, optimization, signal processing, image processing, integration, etc.
  • Matplotlib: It is used mostly for visualizing and plotting data. Visualizing machine learning models through graphical plots is possible with this tool.
  • IPython: A computer console that supports multiple programming languages for interactive computing.
  • Pandas: A library for manipulating data and performing analysis.
6. Pytorch in Artificial Intelligence Tools

PyTorch is a scientific package developed with Python that makes use of the GPU (Graphics processing units). The tool provides a very useful API, as well as a very good platform with dynamic computational graphs that can be changed as the program runs.

Artificial Intelligence Certification

AI Certification encompasses the essentials of statistics necessary for Data Science, Python programming, and Machine Learning, along with in-depth knowledge of Artificial Intelligence concepts.

The AI certificate course takes a very practical, hands-on approach to AI Engineering. We provide relevant lab experiences and real-world projects for our AI courses.

For professionals with at least three years of professional experience and a bachelor's degree (at a minimum) in a technical field such as computer science, statistics, physics, or electrical engineering, the Professional Certificate Program in Machine Learning & Artificial Intelligence is designed.

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Key Features

ACTE Chandigarh offers Artificial Intelligence Training in more than 27+ branches with expert trainers. Here are the key features,

  • 40 Hours Course Duration
  • 100% Job Oriented Training
  • Industry Expert Faculties
  • Free Demo Class Available
  • Completed 500+ Batches
  • Certification Guidance

Authorized Partners

ACTE TRAINING INSTITUTE PVT LTD is the unique Authorised Oracle Partner, Authorised Microsoft Partner, Authorised Pearson Vue Exam Center, Authorised PSI Exam Center, Authorised Partner Of AWS and National Institute of Education (nie) Singapore.


Syllabus of Artificial Intelligence Course in Chandigarh
Module 1: Introduction to Data Science
  • What is Data Science?
  • What is Machine Learning?
  • What is Deep Learning?
  • What is AI?
  • Data Analytics & it’s types
Module 2: Introduction to Python
  • What is Python?
  • Why Python?
  • Installing Python
  • Python IDEs
  • Jupyter Notebook Overview
Module 3: Python Basics
  • Python Basic Data types
  • Lists
  • Slicing
  • IF statements
  • Loops
  • Dictionaries
  • Tuples
  • Functions
  • Array
  • Selection by position & Labels
Module 4: Python Packages
  • Pandas
  • Numpy
  • Sci-kit Learn
  • Mat-plot library
Module 5: Importing Data
  • Reading CSV files
  • Saving in Python data
  • Loading Python data objects
  • Writing data to csv file
Module 6: Manipulating Data
  • Selecting rows/observations
  • Rounding Number
  • Selecting columns/fields
  • Merging data
  • Data aggregation
  • Data munging techniques
Module 7: Statistics Basics
  • Central Tendency
  • Probability Basics
  • Standard Deviation
  • Bias variance Trade off
  • Distance metrics
  • Outlier analysis
  • Missing Value treatment
  • Correlation
Module 8: Error Metrics
  • Classification
  • Regression
Module 9: Machine Learning
  • Supervised Learning
  • Linear Regression
  • Logistic regression
Module 10: Unsupervised Learning
  • K-Means
  • K-Means ++
  • Hierarchical Clustering
Module 11: SVM
  • Support Vectors
  • Hyperplanes
  • 2-D Case
  • Linear Hyperplane
Module 12: SVM Kernal
  • Linear
  • Radial
  • polynomial
Module 13: Other Machine Learning algorithms
  • K – Nearest Neighbour
  • Naïve Bayes Classifier
  • Decision Tree – CART
  • Decision Tree – C50
  • Random Forest
  • Perceptron
  • Multi-Layer perceptron
  • Markov Decision Process
  • Logical Agent & First Order Logic
  • AL Applications
Module 15: Deep Learning Algorithms
  • CNN – Convolutional Neural Network
  • RNN – Recurrent Neural Network
  • ANN – Artificial Neural Network
Module 16: Introduction to NLP
  • Text Pre-processing
  • Noise Removal
  • Lexicon Normalization
  • Lemmatization
  • Stemming
  • Object Standardization
Module 17: Text to Features
  • Syntactical Parsing
  • Dependency Grammar
  • Part of Speech Tagging
  • Entity Parsing
  • Named Entity Recognition
  • Topic Modelling
  • N-Grams
  • TF – IDF
  • Frequency / Density Features
  • Word Embedding’s
Module 18: Tasks of NLP
  • Text Classification
  • Text Matching
  • Levenshtein Distance
  • Phonetic Matching
  • Flexible String Matching
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Hands-on Real Time Artificial Intelligence Projects

Project 1
Forecasting Earthquake Aftershock

This Google AI project applies deep learning to identify the location where the aftershock might occur uses the information of 118 major earthquakes reported.

Project 2

XTREME is a pre-trained multilingual model that includes 40 typologically diverse languages and comprises tasks that need reasoning.

Project 3
Chatbot Project

Chatbot that handles a wide variety of conversational topics and humanizes computer interaction, improves foreign language practice, and so on.

Project 4
Face Recognition Project

The objective of face recognition is, from the incoming image, to find a series of data of the same face in a set of training images in a database.

Our Engaging Hiring Partner for Placements

ACTE Chandigarh offers With Job guarantee to help individuals acquire dream jobs in renowned organizations where they can essentially advance or demonstrate company development qualities as add-on to every student / professional who completed our classroom or online training. Some of our students are working in these companies listed below.
  • After finishing of 70% Huge information and Hadoop instructional class getting the hang of educational class content, we will coordinate the gathering calls to understudies and set them up to F2F participation.
  • We direct mock tests and mock gatherings to help your assurance level.
  • Career guideness, open positions will be bestowed to the applicants regulary.
  • We have separate understudy's entrances for circumstance, here you will get all the gathering schedules and we educate you through messages.
  • ACTE connected with top affiliations like GOOGLE, CTS, TCS, IBM, etc.. it make us skillful to place our applicants in top MNCS across the globe.
  • Resume readiness, mock meetings, and position help with 100% authentic exertion from our side to put you in the business.

Get Certified By Machine Learning with AI & Industry Recognized ACTE Certificate

Acte 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 Acte 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.

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About Qualified Artificial Intelligence Mentors

  • Our Artificial Intelligence Training in Chandigarh  have wide teaching through attracting scenes like whatsapp, conversations, and online media stages is offered to beneficially execute any inquiries.
  • We change our organizations to your stand-out rules, with a strong focus on elaborate understanding and getting ready on long stretch ventures.
  • Delivered by guaranteed mentors and experts each with over stretches of involvement and give placement guidance.
  • Our Mentor is throughout educated about being understudy connected with and completing assignments to hit cutoff times and targets.
  • Our Best Artificial Intelligence Training   getting ready , mentors are asserted specialists with 9+ extended lengths of inclusion with their different space similarly as they are correct now working with top MNCs.
  • Remote induction to worker ranch structure to guarantee that everyone gets hands own to explicit development even after you finish the course.

Artificial Intelligence Course FAQs

Looking for better Discount Price?

Call now: +91 93833 99991 and know the exciting offers available for you!
  • ACTE is the Legend in offering placement to the students. Please visit our Placed Students List on our website
  • We have strong relationship with over 700+ Top MNCs like SAP, Oracle, Amazon, HCL, Wipro, Dell, Accenture, Google, CTS, TCS, IBM etc.
  • More than 3500+ students placed in last year in India & Globally
  • ACTE conducts development sessions including mock interviews, presentation skills to prepare students to face a challenging interview situation with ease.
  • 85% percent placement record
  • Our Placement Cell support you till you get placed in better MNC
  • Please Visit Your Student Portal | Here FREE Lifetime Online Student Portal help you to access the Job Openings, Study Materials, Videos, Recorded Section & Top MNC interview Questions
    ACTE Gives Certificate For Completing A Course
  • Certification is Accredited by all major Global Companies
  • ACTE is the unique Authorized Oracle Partner, Authorized Microsoft Partner, Authorized Pearson Vue Exam Center, Authorized PSI Exam Center, Authorized Partner Of AWS and National Institute of Education (NIE) Singapore
  • The entire Artificial Intelligence training has been built around Real Time Implementation
  • You Get Hands-on Experience with Industry Projects, Hackathons & lab sessions which will help you to Build your Project Portfolio
  • GitHub repository and Showcase to Recruiters in Interviews & Get Placed
All the instructors at ACTE are practitioners from the Industry with minimum 9-12 yrs of relevant IT experience. They are subject matter experts and are trained by ACTE for providing an awesome learning experience.
No worries. ACTE assure that no one misses single lectures topics. We will reschedule the classes as per your convenience within the stipulated course duration with all such possibilities. If required you can even attend that topic with any other batches.
We offer this course in “Class Room, One to One Training, Fast Track, Customized Training & Online Training” mode. Through this way you won’t mess anything in your real-life schedule.

Why Should I Learn Artificial Intelligence Course At ACTE?

  • Artificial Intelligence Course in ACTE is designed & conducted by Artificial Intelligence experts with 10+ years of experience in the Artificial Intelligence domain
  • Only institution in India with the right blend of theory & practical sessions
  • In-depth Course coverage for 60+ Hours
  • More than 50,000+ students trust ACTE
  • Affordable fees keeping students and IT working professionals in mind
  • Course timings designed to suit working professionals and students
  • Interview tips and training
  • Resume building support
  • Real-time projects and case studies
Yes We Provide Lifetime Access for Student’s Portal Study Materials, Videos & Top MNC Interview Question.
You will receive ACTE globally recognized course completion certification Along with National Institute of Education (NIE), Singapore.
We have been in the training field for close to a decade now. We set up our operations in the year 2009 by a group of IT veterans to offer world class IT training & we have trained over 50,000+ aspirants to well-employed IT professionals in various IT companies.
We at ACTE believe in giving individual attention to students so that they will be in a position to clarify all the doubts that arise in complex and difficult topics. Therefore, we restrict the size of each Artificial Intelligence batch to 5 or 6 members
Our courseware is designed to give a hands-on approach to the students in Artificial Intelligence. The course is made up of theoretical classes that teach the basics of each module followed by high-intensity practical sessions reflecting the current challenges and needs of the industry that will demand the students’ time and commitment.
You can contact our support number at +91 93800 99996 / Directly can do by's E-commerce payment system Login or directly walk-in to one of the ACTE branches in India
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      Job Opportunities in DevOps

      More Than 35% Prefer Artificial Intelligence for automating tasks. Artificial Intelligence Is One of the Most Popular and In-Demand Technologies in the Tech World.

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