Artificial Intelligence Course in Kolkata | Best AI Training [UPDATED]
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Artificial Intelligence Training in Kolkata

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  • Gain in-demand skills such as Deep Learning, NLP, Reinforcement Learning.
  • Analyze at your pace and improve your Artificial Intelligence skills.
  • Interview training tips will be provided with resume-building techniques by professions.
  • Artificial intelligence programs offer data experts and more.
  • Get Study from Scratch levels on AI Training.
  • Next AI Batch to Start this week– Enroll Your Name Now!



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08:00 AM & 10:00 AM Batches

(Class 1Hr - 1:30Hrs) / Per Session


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Accept our certification training with inventive Artificial Intelligence

  • We will cover all of the basics to get started in the field of AI during this course. The course introduces you to the main approaches and research fields of artificial intelligence. You will learn about both the advantages and disadvantages of AI as well as its potential applications in the future.
  • Our course will provide you with a foundation to get started with advanced topics in neural networks. The fundamentals of neural networks and how they learn from data will be solidified in this course.
  • In addition to learning how to train neural networks, you will also explore the generalization of these networks.
  • The next step will be to combine different neural network models and work with real-world use cases. You will learn how to solve complex computational problems efficiently.
  • By the end of this course, you will understand how you can leverage the power of artificial intelligence and how you can implement neural network models into your applications.
  • It makes you independent and able to solve any problem using neural networks, as each concept is accompanied by a generic, real-world application.
  • 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

  • Knowledge of algorithms and maths is required.
  • A solid understanding of statistics and probability is required.
  • Basic programming knowledge is required.
  • Computing on a large scale.
  • Tools for Unix.
  • Curiosity and creativity.
  • Learn about data wrangling, data exploration, data visualization, hypothesis formulation, and testing procedures in Data Science.
  • Use the NumPy and SciPy packages for high-level mathematical and technical computing, and the Pandas package for data analysis.
  • Learn about supervised and unsupervised learning methods such as linear regression, logistic regression, clustering, dimensionality reduction, K-NN and pipeline, recommendation engines, and time series modeling.

With the demand for AI in a broad range of industries, Simplilearn’s With AI in such high demand across a wide range of sectors, an AI certification course is ideally suited for a wide number of professions and disciplines, including:

  • Developers interested in pursuing a career as an Artificial Intelligence or Machine Learning Engineer
  • Those in charge of a team of analysts are known as analytics managers.
  • Architects of the information who wish to learn about Artificial Intelligence algorithms
  • Machine learning and artificial intelligence specialists that wish to work in analytics
  • Graduates interested in pursuing a career in artificial intelligence and machine learning are encouraged to apply.
  • Professionals with a track record who want to use Artificial Intelligence to gain a better understanding of their areas.

Participants in this AI certification course should have the following skills:

  • A basic grasp of Python programming.
  • Basic statistical expertise is required.

You will have the abilities needed to help you obtain a dream career after completing the Artificial Intelligence course co-developed with IBM. Artificial Intelligence trained individuals are well-suited for the following positions:

  • Artificial Intelligence Engineer
  • Data Scientist
  • Analytics Manager/Lead
  • Machine Learning Engineer
  • Statistical Programming Specialist
You may become an AI Engineer by learning all of the necessary abilities for an AI professional. Artificial Intelligence courses can assist you in achieving this goal. Enroll in the training program to gain a thorough understanding of the domain. You will be ready to take the certification test once you have completed the course and all of the projects.
The selected language will need the development of AI algorithms and networks that can evaluate data and adapt to what it learns. The optimal solution will be determined by the project's kind and objectives. The program's intended usage, as well as how fast it must run and what other applications and platforms it must interact with, will assist determine which language is ideal. Python, C++, R, JavaScript, Prolog, Artificial Intelligence Markup Language (AIML), MATLAB, Haskell, LISP, and Julia are among the languages widely used in AI development.

What is the average salary of Artificial intelligence professionals?

Candidates may get a good sense of what Artificial Intelligence engineers are paid by doing a fast search on employment portals. According to the report, the greatest remuneration provided to an AI specialist is Rs.22 lakh. On the other side, the minimum pay ranges from Rs.3 lakh to Rs.5 lakh. The compensation package for newer AI engineers, on the other hand, is naturally considerably smaller.

What are the tools covered under this Artificial Intelligence Course?

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

What are the roles and responsibilities of an Artificial Intelligence engineer?

Artificial intelligence engineers are in charge of creating, programming, and training the complex networks of algorithms that make up AI so that they can mimic the functions of the human brain. This position necessitates a mix of software development, programming, data science, and data engineering skills.

What are the prerequisites to learn an Artificial Intelligence course?

  • Statistics and chance
  • Programming languages like Python
  • Algorithms and writing
  • Applied mathematics
  • Distributed Computing

Does Artificial intelligence have a bright future?

Artificial intelligence will drastically enhance workplace efficiency and may or may not supplement the job that people can accomplish. When AI takes over monotonous or risky jobs, it frees up human hands to attempt to accomplish work for which they are more equipped—tasks involving power and empathy, for example. An AI takeover is a hypothetical scenario in which computer science (AI) becomes the dominant style of intellect on Earth, with computer programs or robots essentially seizing control of the planet away from humans.
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Overview of Artificial Intelligence Training in Kolkata

This certificate helps you master key topics, such as Python data science, machine training, deep learning, NLP and includes special IBM hackathons, masterclasses, and anything else. Moreover, AI training is ready for work on live seminars, workshops, and projects. The AI Certification Course in Kolkata offers an in-depth understanding of the ideas of artificial intelligence, including statistics on basic data sciences, Python programming, and machine learning. With these AI classes, you will learn how to utilize NumPy, SciPy, Scikit-Learning, and important techniques of machine learning, including supervised and unattended learning, advanced ideas that include artificial neural networks, and layers of information abstraction, and TensorFlow. This AI certifier allows you to discover key subjects such as data science Python, machine education, profound learning, and NLP. It contains IBM hackathons, courses, and other courses. Furthermore, AI workshops and projects are provided ready for work with live seminars.


Additional Info

Intro of Artificial Intelligence :

Artificial intelligence is potentially a world-changing technology. Human intelligence could be enhanced by using it to treat cancer, drive autonomous vehicles, and control autonomous cars. Humanity may be doomed to an apocalypse caused by robots or the fall of robotic society. AI is simply software used by computers to emulate aspects of human intelligence. A robot vacuum with basic knowledge of the world around it, or a recommendation system that finds books you've bought based on what you've read.Using AI, a machine can exhibit human-like abilities, like reasoning, learning and planning.

Using artificial intelligence, a technical system can perceive its surroundings, deal with what it perceives, solve problems, and act in order to achieve specific goals. Upon receiving data, which has already been prepared or has been collected by the computer's own sensors, it processes it and responds.

Types of artificial intelligence—weak AI vs. strong AI :

Weak AI—also called Narrow AI or Artificial Narrow Intelligence (ANI)—is AI trained and focused to perform specific tasks.orm specific tasks. The majority of today's artificial intelligence is made up of weak AI. It is more accurate to describe this type of AI as 'narrow' rather than weak, as it includes some very powerful applications, including Apple's Siri, Amazon's Alexa, IBM Watson, and autonomous driving.

Artificial Super Intelligence (ASI) and Artificial General Intelligence (AGI) are key components of strong AI. The idea of artificial general intelligence (AGI) focuses on creating machines with an intelligence equal to humans; they would possess a self-aware consciousness that would be able to think for themselves and learn from their experiences. A superintelligence that surpasses the human brain's intelligence and ability will be known as Artificial Superintelligence (ASI).

Why is AI important?

In recent years, AI breakthroughs have occurred because of advances in computing power, the availability of large quantities of data, and new algorithms. A key element of the digital transformation of society is artificial intelligence, and it has become a major EU priority. Though AI will continue to impact our everyday lives in the future, it is already a part of our everyday lives today.

What is an AI engineer ?

The engineers who work on artificial intelligence develop, program and train algorithms that function like human brains in order to make it feel and act like an actual brain. As a data engineer, you will have to have knowledge of software engineering, data science, and programming. While AI engineers specialize in data engineering, they rarely write the code needed to develop scalable data-sharing systems. Developers of artificial intelligence gather data from a variety of sources, build, develop and test machine learning models, and then build and implement AI applications using application programming interface (API) calls and embedded code.

Skills will be covered in this Artificial Intelligence course :

After completing this AI certification training, you will be able to :

  • Know how artificial intelligence works, its meaning, purpose, stages, applications, and effects
  • Design and implement your own intelligent agents to solve practical AI problems, such as games, machine learning models, logic constraint satisfaction problems, and knowledge-based systems.
  • Learn how to use data types, tuples, lists, dictionaries, operators, and functions in Python code
  • Get hands-on experience in analysis using Jupyter notebooks by writing your own Python scripts
  • Understand the data wrangling, analysis, visualization, hypothesis building, and testing processes involved in Data Science
  • Mathematical and technical computation using NumPy and SciPy, as well as data analysis with Pandas
  • Learning linear regression, logistic regression, clustering, dimensionality reduction, K-NN, pipelines, and recommendations throughout the program.
  • Know the basics of TensorFlow, including its main functions and operations, as well as its execution pipeline.
  • Master advanced topics in Artificial Intelligence, such as convolutional neural networks, recurrent neural networks, and deep learning.

List Of Artificial Intelligence Tools :

The list below provides information on the most popular AI frameworks and tools available in the market today. Depending on what suits your needs best, you can choose from these artificial intelligence tools.

  • Scikit Learn
  • Tensorflow
  • Theano
  • Caffe
  • MxNet
  • Keras
  • PyTorch
  • CNTK
  • 1. Scikit Learn :

    An important tool for unsupervised and administered calculations is Scikit learn, one of the most popular ML libraries. Examples of precedents include calculated and direct relapses, bunching, decision trees, etc. In addition to SciPy, Python, and NumPy, the tool supports other libraries as well. The calculations involved in data mining and regular artificial intelligence assignments are numerous. Even features determination, changing information, and ensemble techniques can be run with only a few lines of code. Scikit Learn is the right tool that you should use if you wish to use an instrument for fledgling.

    2. Tensorflow :

    Using Tensor, large datasets can be quickly set up, trained and exported using multi-layered hubs. Google recognizes those questions that are presented in a photographic format thanks to this feature. Google can also understand words which are spoken within an application for voice recognition.

    3. Theano :

    Over the Keras, the Theano is folded. The Keras Python library allows deep exploration, works on Tensorflow and Theano. Models of profound learning were developed using Theano so they would be simple and quick to implement in some innovative work. Python is used, and it runs on GPUs and CPUs. GPUs in PCs can be exploited by Theano. By doing this, it can make much higher information counts than when its CPU is only used. Calculations requiring complex computations are highly profitable with Theano.

    4. Cafe :

    As one of its top priorities, Caffe offers profound learning and is made with speed, articulation, and high quality. The information here was compiled by the Berkeley Vision & Learning Center (BVLC). With a Python interface, it is a C library.

    5. Mxnet :

    Memory can be exchanged for computation time in MxNet by using a forgetful backprop. This is particularly useful in the case of a recurrent net that is in a long sequence. This tool has been designed to ensure scalability and ease of training on multiple GPUs and machines. In addition, it is equipped with features such as allowing the creation of custom layers in a high-level language. It is an open source framework that has been developed by a community, without any corporate direction.

    6. Keras :

    Keras is just what you need if you like Python and its capabilities. The library makes use of Theano and Tensorflow that is used in the backend to handle neural networks. A particular architecture is picked up based on the problem. Through images, it helps identify problems, and it does use weights. An optimization network is configured for results. With Keras, you can convert an abstract structure to any other framework for better performance or compatibility.

    7. Pytorch :

    Facebook created PyTorch, a system that is easily accessible on Github. Over 22000 stars are present in it. Frameworks such as this one have been highly in demand in recent years, and they are currently going through continuous development.

    8. Cntk :

    The CNTK lets users release and combine the popular types of models, such as DNNs, CNNs, RNNs, and LSTMs. SGD or stochastic gradient descent is used for learning. It runs on many servers and GPUs by using parallelization and automatic differentiation. Since CNTK offers open-source licenses, everyone can take a look at it.

    Who should take this Artificial Intelligence course?

    The demand for AI in a wide range of industries makes Simplilearn's training suitable for a variety of roles and disciplines, including :

    • Developers aspiring to become artificial intelligence engineers or machine learning engineers
    • Management of an analytics team by an analytics manager
    • Artificial Intelligence algorithms are of interest to Information Architects
    • Analytics professionals wishing to work in artificial intelligence or machine learning
    • AI & Machine Learning graduates seeking a career
    • For seasoned professionals seeking more insight into their fields by leveraging Artificial Intelligence

    Top 10 Benefits of Artificial Intelligence (AI)

    Below are ten of the most noteworthy contributions of Artificial Intelligence to shaping the world we live in.

    1. Automation :

    A major benefit of AI technology is automation. It has a significant impact on the communication, transportation, consumer goods, and service industries. As the use of automation increases in these sectors, it also leads to more efficient use of resources, higher quality products, shorter lead times, and enhanced safety. In addition to freeing up resources, automation can also contribute to greater productivity.

    2. Smart Decision Making :

    Making smart business decisions has always been possible with the use of Artificial Intelligence. The AI technology can contribute to delivering data, analyzing trends, developing data consistency, and providing forecasts to help companies make the best business decisions. AI can assist businesses in making the right decision to support their efficiency if it isn't programmed to mimic human emotions.

    3. Enhanced Customer Experience :

    Using AI-powered solutions, businesses can respond to customer queries and complaints efficiently. Natural Language Processing technology coupled with conversational AI can generate highly personalized messages for customers, which helps find the best solution for their needs. Customer service staff can benefit from AI tools as well by being less stressed, resulting in improved productivity.

    4. Medical Advances :

    The use of Artificial Intelligence solutions in healthcare is becoming increasingly popular these days. For instance, remote patient monitoring allows healthcare providers to diagnose patients and suggest treatment opportunities without physically seeing them. The advancement of artificial intelligence can also be useful in monitoring and forecasting contagious diseases.

    5. Research and Data Analysis :

    Data can be more efficiently analyzed with Artificial Intelligence and Machine Learning. Models can be created and algorithms created to comprehend potential outcomes of various trends and scenarios.

    In addition to speeding up data analysis and processing, artificial intelligence can also facilitate research and development, which could have taken too long for humans to review and understand without its advanced computing capabilities.

    6. Solving Complex Problems :

    Having high-level Machine Learning models to deep learning models, AI technologies have evolved into powerful tools for solving complex issues. Business across industries can better address their challenges with AI solutions that range from fraud detection to weather forecasting to medical diagnosis. An increase in productivity and lower expenses are the results of solving complex problems with greater efficiency.

    7. Business Continuity :

    With the help of artificial intelligence, companies can use business forecasting to make critical decisions and prepare for emergency situations. AI-powered tools can assist organizations in responding proactively to crises as risk management relies heavily on data analysis and management today. Additionally, AI and machine learning can be used to develop scenarios to help businesses plan for a faster disaster recovery strategy.

    8. Managing Repetitive Tasks :

    In addition to being time-consuming and monotonous, repetitive business tasks can also affect employee productivity over time. Using robots to automate business process interaction can save companies time and make their employees' lives easier. In the HR, IT, marketing, or sales departments, it can mimic the actions of humans within the digital systems so that any business process can be completed efficiently and manually without the need for the intervention of a human.

    9. Minimizing Errors :

    Automation can also reduce the likelihood of human error by automating routine business tasks.

    Because Robotic Process Automation tools handle the data entry and processing jobs, they can help digital systems run more efficiently and reduce the chances of running into or creating problems due to data processing mistakes. Businesses cannot afford even the slightest error. This can be especially useful for them.

    10. Increased Business Efficiency :

    With Artificial Intelligence, you can ensure your service is accessible 24 hours a day, all day long. AI tools will not become bored or tired of repetitive tasks either if they are taken care of. As a result, the business can be run more efficiently and the employees can be reassigned to perform more complex business tasks that require manual intervention.

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Key Features

ACTE Kolkata 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 Kolkata
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
Next Word Predictor Project

The objective of this project is to create text prediction application with R's Shiny app package that predicts words using a Natural Language Processing model(NLP).

Project 2
Fire Detection and Localization Project

Computer vision techniques are used to detect and localize fires from infrared and visual images and other data provided by the cameras and other sensors on-board the UAVs.

Project 3
Website Evaluation Project

The system uses opinion mining methodology in order to achieve desired functionality. The user logins to the system he can view various websites posted by the admin.

Project 4
T-rex Dino Bot Project

This article will explain the step-by-step procedure of building your own bot from scratch, which would play the T-Rex run game by Google indefinitely.

Our Best Hiring Companion for Placements

Our Academy's Artificial Intelligence Training in kolkata is designed to help applicants master fundamental concepts like designing, testing, and deploying Angular-based applications in real-time while being guided by expert web developers.

  • We've partnered with over 1000+ small and Large businesses to provide you with opportunities to kick-start and advance your career associated with top organizations like HCL, Wipro, Dell, Accenture, Google, CTS, TCS, IBM etc.
  • During the interview, attaching this Professional Accomplishment Certificate to your resume gives a great impression and Mock Interviews and increases the trustworthiness of your placements. It also makes it easier to find a greater variety of job opportunities.
  • Learning an Artificial Intelligence certification course will help you expand your employment options. Mastering AngularJS can assist you in launching your IT career.
  • Tutors will insist the candidates get placed in their respective companies through an Employee referral or Internal Hiring Process.
  • We serve as a one-stop-shop for both job seekers and top-level placement recruiters, providing excellent Artificial Intelligence online course support.
  • Our Placements training programs are flexible and customized to make sure that every individual gains the maximum out of the Artificial Intelligence Training.

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 Instructor

  • Our Artificial Intelligence Training in kolkata have real-time Certified Professionals with at least 9+ years of programming and coding experience in their respective domain as well as they are currently working with Top MNCs.
  • You will learn from industry experts who are enthusiastic about sharing their Coding knowledge to applicants. Experts will personally mentor you.
  • Our Trainers demonstrate many live projects for the training candidates during their training sessions.
  • Trainers also help candidates to get placed in their respective company by Employee Referral / Internal Hiring process.
  • Our trainers will gain a solid understanding of several Course concepts and procedures, as well as learn how to construct and format providing Best Artificial Intelligence Training to the applicants.
  • We offer Artificial Intelligence Course in kolkata in Smart Classrooms with Blended Learning. Professional Artificial Intelligence Training at an affordable price with certification upon completion.

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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