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Artificial Intelligence Training in Tambaram

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  • Beginner & Advanced level Classes.
  • Hands-On Learning in Artificial Intelligence.
  • Best Practice for interview Preparation Techniques in Artificial Intelligence.
  • Lifetime Access for Student’s Portal, Study Materials, Videos & Top MNC Interview Question.
  • Affordable Fees with Best curriculum Designed by Industrial Artificial Intelligence Expert.
  • Delivered by 9+ years of Artificial Intelligence Certified Expert | 12402+ Students Trained & 350+ Recruiting Clients.
  • Next Artificial Intelligence Batch to Begin this week – Enroll Your Name Now!

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+91-7669 100 251

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Upcoming Batches

17-Jun-2024
Mon-Fri

Weekdays Regular

08:00 AM & 10:00 AM Batches

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

12-May-2024
Mon-Fri

Weekdays Regular

08:00 AM & 10:00 AM Batches

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

15-Jun-2024
Sat,Sun

Weekend Regular

(10:00 AM - 01:30 PM)

(Class 3hr - 3:30Hrs) / Per Session

15-Jun-2024
Sat,Sun

Weekend Fasttrack

(09:00 AM - 02:00 PM)

(Class 4:30Hr - 5:00Hrs) / Per Session

Hear it from our Graduate

Have Cracked Their Dream Job in Top MNC Companies

Learn From Experts, Practice On Projects & Get Placed in IT Company

  • We train students for interviews and Offer Placements in corporate companies.
  • Ideal for graduates with 0 – 3 years of experience & degrees in B. Tech, B.E and B.Sc. IT Or Any Computer Relevent.
  • You will not only gain knowledge of Artificial Intelligence and Advance tools, but also gain exposure to Industry best practices, Aptitude & SoftSkills.
  • Experienced Trainers and Lab Facility.
  • IBM AI Engineering Professional Certificate Guidance Support with Exam Dumps.
  • For Corporate, we act as one stop recruiting partner.We provide right skilled candidates who are productive right from day one.
  • Resume & Interviews Preparation Support.
  • 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.
  • START YOUR CAREER WITH ARTIFICIAL INTELLIGENCE COURSE THAT GETS YOU A JOB OF UPTO 5 LACS IN JUST 60 DAYS!
  • Classroom Batch Training
  • One To One Training
  • Online Training
  • Customized Training
  • Enroll Now

About Artificial Intelligence Training Course in Tambaram

ACTE online training course will likely be delivered in a mixture of modes. These will include lectures and seminars, as well as practical projects and computer laboratory work. This format ensures that you have a foundation of computer science knowledge, as well as having specialist knowledge in artificial intelligence. ACTE Imparts Artificial Intelligence Class Room & Online Training Course Enroll Now!!!

Most Job Oriented Artificial Intelligence Topics Covered
  • Deep Learning

    Robotics

    Natural Language Processing

  • Reinforcement Learning

    Artificial Neural Network

    Expert & Fuzzy Systems

  • Computer Vision

    Biometrics

    Computational Biology

Yes, In recent years, careers in artificial intelligence (AI) have grown exponentially to meet the demands of digitally transformed industries. While there are plenty of jobs in artificial intelligence, there’s a significant shortage of top tech talent with the necessary skills. Top 5 Careers in Artificial Intelligence
  • Machine Learning Engineer
  • Data Scientist
  • Business Intelligence Developer
  • Research Scientist
  • Big Data Engineer/Architect
AI has become the cutting-edge technology in today's technological world with more and more companies adopting it every single day.ACTE AI training helps you get on the AI bandwagon and apply for the highest paid and best suitable jobs in the market.The average salary of an experienced AI professional is $246,500 per year.
yes,As Artificial Intelligence is on the rise and there is an exponential growth in demand for AI professionals and also there is a scope in developing the machines in game playing, speech recognition machine, language detection machine, computer vision, expert systems, robotics and many more.you can expect a high salary in artificial intelligence jobs.According to the job site Indeed, the demand for AI skills has more than doubled over the past three years, and the number of job postings is up by 119 percent.
We are happy and proud to say that we have strong relationship with over 700+ small, mid-sized and MNCs. Many of these companies have openings for Artificial Intelligence Architect.Moreover, we have a very active placement cell that provides 100% placement assistance to our students. The cell also contributes by training students in mock interviews and discussions even after the course completion.
The applications of Artificial Intelligence vary from autonomous cars to translation, from chatbots to image recognition. Digital assistants like Siri and Alexa are typical examples of AI applications, and with recent increased efficiencies in AI, we should see more AI applications in the future.
The AI course is an advanced course and hence the following knowledge would be useful:
  • Machine learning knowledge is compulsory.
  • Fundamental Python programming skills are needed.
No.But you don’t have to be a software engineer either. Solid basic programming skills are a must. But advanced notions like object-oriented programming and software engineering aren’t needed. And many of those going into AI have a math background, so they’re actually better at some computer science notions than programmers, such as analysis of algorithms.
Our course-ware 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 student's time and commitment.
Absolutely! Although, you will need to have some well-developed engineering skills and a good command of advanced mathematics or you will struggle mightily through your learning experience. These skills will get the conversation going with potential employers, most of which have pre-machine learning needs.
Artificial Intelligence continues to advance and improve the quality of life across multiple industry settings.Candidates can find training programs that offer specific majors in AI or pursue an AI specialization from within majors such as computer science, health informatics, graphic design, information technology or engineering. As a result, those with the skills to translate digital bits of information into meaningful human experiences will be skillful in artificial intelligence to be sustaining and rewarding.

Top reasons to consider a career in Artificial Intelligence?

Artificial Intelligence enters our lives in many different ways.The understanding of artificial intelligence(AI) opens lots of opportunities. As you learn more about artificial intelligence, you get a chance to become a developer who will create advanced AI applications like IBM’s Watson or self-driving cars. There are endless possibilities in this field. Studying artificial intelligence is necessary for a career in software engineering, in case you want to work with human-machine interfaces, neural networks, and quantum artificial intelligence. Industries like Amazon and Facebook use artificial intelligence to make shopping list recommendations and to analyze big data.The understanding of artificial intelligence is also necessary for hardware engineers who create home assistants and parking assistants.

Right from healthcare sectors to financial, BFSI to e-commerce, FMGC and so on, every single vertical is keen to devour the AI-powered opportunities to yield significant benefits.


How artificial intelligence is transforming the world

Most people are not very familiar with the concept of artificial intelligence (AI). As an illustration, when 1,500 senior business leaders in the United States in 2017 were asked about AI, only 17 percent said they were familiar with it. A number of them were not sure what it was or how it would affect their particular companies. They understood there was considerable potential for altering business processes, but were not clear how AI could be deployed within their own organizations.

we discuss novel applications in finance, national security, health care, criminal justice, transportation, and smart cities, and address issues such as data access problems, algorithmic bias, AI ethics and transparency, and legal liability for AI decisions. We contrast the regulatory approaches of the U.S. and European Union, and close by making a number of recommendations for getting the most out of AI while still protecting important human values.

In order to maximize AI benefits, we recommend nine steps for going forward:

  • Encourage greater data access for researchers without compromising users’ personal privacy,
  • invest more government funding in unclassified AI research,
  • promote new models of digital education and AI workforce development so employees have the skills needed in the 21st-century economy,
  • create a federal AI advisory committee to make policy recommendations,
  • engage with state and local officials so they enact effective policies,
  • regulate broad AI principles rather than specific algorithms,
  • take bias complaints seriously so AI does not replicate historic injustice, unfairness, or discrimination in data or algorithms,
  • maintain mechanisms for human oversight and control, and
  • penalize malicious AI behavior and promote cybersecurity.

QUALITIES OF ARTIFICIAL INTELLIGENCE

  • Although there is no uniformly agreed upon definition, AI generally is thought to refer to “machines that respond to stimulation consistent with traditional responses from humans, given the human capacity for contemplation, judgment and intention.

Intentionality

  • Artificial intelligence algorithms are designed to make decisions, often using real-time data.
  • They are unlike passive machines that are capable only of mechanical or predetermined responses. Using sensors, digital data, or remote inputs, they combine information from a variety of different sources, analyze the material instantly, and act on the insights derived from those data.
  • With massive improvements in storage systems, processing speeds, and analytic techniques, they are capable of tremendous sophistication in analysis and decision making.

Artificial intelligence is already altering the world and raising important questions for society, the economy, and governance.

Intelligence

  • AI generally is undertaken in conjunction with machine learning and data analytics. Machine learning takes data and looks for underlying trends. If it spots something that is relevant for a practical problem, software designers can take that knowledge and use it to analyze specific issues.
  • All that is required are data that are sufficiently robust that algorithms can discern useful patterns. Data can come in the form of digital information, satellite imagery, visual information, text, or unstructured data.

Adaptability

  • AI systems have the ability to learn and adapt as they make decisions. In the transportation area, for example, semi-autonomous vehicles have tools that let drivers and vehicles know about upcoming congestion, potholes, highway construction, or other possible traffic impediments.
  • Vehicles can take advantage of the experience of other vehicles on the road, without human involvement, and the entire corpus of their achieved “experience” is immediately and fully transferable to other similarly configured vehicles.
  • Their advanced algorithms, sensors, and cameras incorporate experience in current operations, and use dashboards and visual displays to present information in real time so human drivers are able to make sense of ongoing traffic and vehicular conditions. And in the case of fully autonomous vehicles, advanced systems can completely control the car or truck, and make all the navigational decisions.

APPLICATIONS IN DIVERSE SECTORS

  • AI is not a futuristic vision, but rather something that is here today and being integrated with and deployed into a variety of sectors. This includes fields such as finance, national security, health care, criminal justice, transportation, and smart cities.
  • There are numerous examples where AI already is making an impact on the world and augmenting human capabilities in significant ways.
  • One of the reasons for the growing role of AI is the tremendous opportunities for economic development that it presents. A project undertaken by Price Waterhouse Coopers estimated that “artificial intelligence technologies could increase global GDP by $15.7 trillion, a full 14%, by 2030.
  • That includes advances of $7 trillion in China, $3.7 trillion in North America, $1.8 trillion in Northern Europe, $1.2 trillion for Africa and Oceania, $0.9 trillion in the rest of Asia outside of China, $0.7 trillion in Southern Europe, and $0.5 trillion in Latin America. China is making rapid strides because it has set a national goal of investing $150 billion in AI and becoming the global leader in this area by 2030.

Finance

  • Investments in financial AI in the United States tripled between 2013 and 2014 to a total of $12.2 billion. According to observers in that sector, “Decisions about loans are now being made by software that can take into account a variety of finely parsed data about a borrower, rather than just a credit score and a background check.” In addition, there are so-called robo-advisers that “create personalized investment portfolios, obviating the need for stockbrokers and financial advisers.” These advances are designed to take the emotion out of investing and undertake decisions based on analytical considerations, and make these choices in a matter of minutes.
  • A prominent example of this is taking place in stock exchanges, where high-frequency trading by machines has replaced much of human decision making. People submit buy and sell orders, and computers match them in the blink of an eye without human intervention. Machines can spot trading inefficiencies or market differentials on a very small scale and execute trades that make money according to investor instructions.
  • Powered in some places by advanced computing, these tools have much greater capacities for storing information because of their emphasis not on a zero or a one, but on “quantum bits” that can store multiple values in each location. That dramatically increases storage capacity and decreases processing times.
  • Fraud detection represents another way AI is helpful in financial systems. It sometimes is difficult to discern fraudulent activities in large organizations, but AI can identify abnormalities, outliers, or deviant cases requiring additional investigation. That helps managers find problems early in the cycle, before they reach dangerous levels.

National security

  • AI plays a substantial role in national defence. Through its Project Maven, the American military is deploying AI “to sift through the massive troves of data and video captured by surveillance and then alert human analysts of patterns or when there is abnormal or suspicious activity.”
  • According to Deputy Secretary of Défence Patrick Shanahan, the goal of emerging technologies in this area is “to meet our warfighters’ needs and to increase [the] speed and agility [of] technology development and procurement.”

The increasing penetration of AI into many aspects of life is altering decision making within organizations and improving efficiency. At the same time, though, these developments raise important policy, regulatory, and ethical issues.

Data access problems

  • The key to getting the most out of AI is having a “data-friendly ecosystem with unified standards and cross-platform sharing.”
  • AI depends on data that can be analyzed in real time and brought to bear on concrete problems. Having data that are “accessible for exploration” in the research community is a prerequisite for successful AI development.

Biases in data and algorithms

  • In some instances, certain AI systems are thought to have enabled discriminatory or biased practices. For example, Airbnb has been accused of having homeowners on its platform who discriminate against racial minorities.
  • A research project undertaken by the Harvard Business School found that “Airbnb users with distinctly African American names were roughly 16 percent less likely to be accepted as guests than those with distinctly white names.”Racial issues also come up with facial recognition software.
  • Most such systems operate by comparing a person’s face to a range of faces in a large database. As pointed out by Joy Buolamwini of the Algorithmic Justice League, “If your facial recognition data contains mostly Caucasian faces, that’s what your program will learn to recognize.” Unless the databases have access to diverse data, these programs perform poorly when attempting to recognize African-American or Asian-American features.
  • Many historical data sets reflect traditional values, which may or may not represent the preferences wanted in a current system. As Buolamwini notes, such an approach risks repeating inequities of the past:
  • The rise of automation and the increased reliance on algorithms for high-stakes decisions such as whether someone get insurance or not, your likelihood to default on a loan or somebody’s risk of recidivism means this is something that needs to be addressed. Even admissions decisions are increasingly automated—what school our children go to and what opportunities they have. We don’t have to bring the structural inequalities of the past into the future we create.

AI ethics and transparency

  • Algorithms embed ethical considerations and value choices into program decisions. As such, these systems raise questions concerning the criteria used in automated decision making. Some people want to have a better understanding of how algorithms function and what choices are being made.
  • In the United States, many urban schools use algorithms for enrolment decisions based on a variety of considerations, such as parent preferences, neighbourhood qualities, income level, and demographic background. According to Brookings researcher Jon Valant, the New Orleans–based Bricolage Academy “gives priority to economically disadvantaged applicants for up to 33 percent of available seats.
  • In practice, though, most cities have opted for categories that prioritize siblings of current students, children of school employees, and families that live in school’s broad geographic area.” Enrolment choices can be expected to be very different when considerations of this sort come into play.
  • Depending on how AI systems are set up, they can facilitate the redlining of mortgage applications, help people discriminate against individuals they don’t like, or help screen or build rosters of individuals based on unfair criteria. The types of considerations that go into programming decisions matter a lot in terms of how the systems operate and how they affect customers.

Legal liability

  • There are questions concerning the legal liability of AI systems. If there are harms or infractions (or fatalities in the case of driverless cars), the operators of the algorithm likely will fall under product liability rules. A body of case law has shown that the situation’s facts and circumstances determine liability and influence the kind of penalties that are imposed. Those can range from civil fines to imprisonment for major harms.
  • The Uber-related fatality in Arizona will be an important test case for legal liability. The state actively recruited Uber to test its autonomous vehicles and gave the company considerable latitude in terms of road testing. It remains to be seen if there will be lawsuits in this case and who is sued: the human backup driver, the state of Arizona, the Phoenix suburb where the accident took place, Uber, software developers, or the auto manufacturer. Given the multiple people and organizations involved in the road testing, there are many legal questions to be resolved.
  • In non-transportation areas, digital platforms often have limited liability for what happens on their sites. For example, in the case of Airbnb, the firm “requires that people agree to waive their right to sue, or to join in any class-action lawsuit or class-action arbitration, to use the service.” By demanding that its users sacrifice basic rights, the company limits consumer protections and therefore curtails the ability of people to fight discrimination arising from unfair algorithms. But whether the principle of neutral networks holds up in many sectors is yet to be determined on a widespread basis.

RECOMMENDATIONS

  • In order to balance innovation with basic human values, we propose a number of recommendations for moving forward with AI. This includes improving data access, increasing government investment in AI, promoting AI workforce development, creating a federal advisory committee, engaging with state and local officials to ensure they enact effective policies, regulating broad objectives as opposed to specific algorithms, taking bias seriously as an AI issue, maintaining mechanisms for human control and oversight, and penalizing malicious behavior and promoting cybersecurity.

Improving data access

  • AI requires data to test and improve its learning capacity. Without structured and unstructured data sets, it will be nearly impossible to gain the full benefits of artificial intelligence.
  • In general, the research community needs better access to government and business data, although with appropriate safeguards to make sure researchers do not misuse data in the way Cambridge Analytica did with Facebook information. There is a variety of ways researchers could gain data access.  
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Key Features

ACTE Tambaram 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.

Curriculum

Syllabus of Artificial Intelligence Course in Tambaram
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
Module 14: ARTIFICIAL INTELLIGENCE
  • 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
Defective Units Analysis

This project was to help BI teams, Stakeholders from different Business Units understand.

Project 2
Bookings

Prediction of Railway tickets getting confirmed.

Our Top Hiring Partner for Placements

ACTE Tambaram offers placement opportunities 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.

  • We are associated with top organizations like HCL, Wipro, Dell, Accenture, Google, CTS, TCS, IBM etc. It make us capable to place our students in top MNCs across the globe
  • We have separate student’s portals for placement, here you will get all the interview schedules and we notify you through Emails.
  • After completion of 70% Artificial Intelligence training course content, we will arrange the interview calls to students & prepare them to F2F interaction
  • Artificial Intelligence Trainers assist students in developing their resume matching the current industry needs
  • We have a dedicated Placement support team wing that assist students in securing placement according to their requirements
  • We will schedule Mock Exams and Mock Interviews to find out the GAP in Candidate Knowledge

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.

Complete Your Course

a downloadable Certificate in PDF format, immediately available to you when you complete your Course

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a physical version of your officially branded and security-marked Certificate.

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About Experienced Artificial Intelligence Trainer

  • Our Artificial Intelligence Training in Tambaram. Trainers are certified professionals with 7+ years of experience in their respective domain as well as they are currently working with Top MNCs.
  • As all Trainers are Artificial Intelligence domain working professionals so they are having many live projects, trainers will use these projects during training sessions.
  • All our Trainers are working with companies such as Cognizant, Dell, Infosys, IBM, L&T InfoTech, TCS, HCL Technologies, etc.
  • Trainers are also help candidates to get placed in their respective company by Employee Referral / Internal Hiring process.
  • Our trainers are industry-experts and subject specialists who have mastered on running applications providing Best Artificial Intelligence training to the students.
  • We have received various prestigious awards for Artificial Intelligence Training in Tambaram from recognized IT organizations.

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 ACTE.in'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 Artificial Intelligence

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

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