- Beginner & Advanced level Classes.
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- Delivered by 9+ years of Artificial Intelligence Certified Expert | 12402+ Students Trained & 350+ Recruiting Clients.
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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.
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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
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Deep Learning
Robotics
Natural Language Processing
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Reinforcement Learning
Artificial Neural Network
Expert & Fuzzy Systems
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Computer Vision
Biometrics
Computational Biology
Is good to opting a career in Artificial Intelligence?
- Machine Learning Engineer
- Data Scientist
- Business Intelligence Developer
- Research Scientist
- Big Data Engineer/Architect
What is the purview of Artificial Intelligence?
Is Artificial Intelligence will enough to create a job?
Will ACTE Help Me With Placements After My Artificial Intelligence course Completion?
What are the applications of Artificial Intelligence?
Prerequisites to Learn Artificial Intelligence Training?
- Machine learning knowledge is compulsory.
- Fundamental Python programming skills are needed.
Is Artificial Intelligence without programming experience possible?
Will I Be Given Sufficient Practical Training In Artificial Intelligence?
Is it aid learning Artificial Intelligence?
How long does it take to skilled in Artificial Intelligence?
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.
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
- What is Python?
- Why Python?
- Installing Python
- Python IDEs
- Jupyter Notebook Overview
- Python Basic Data types
- Lists
- Slicing
- IF statements
- Loops
- Dictionaries
- Tuples
- Functions
- Array
- Selection by position & Labels
- Pandas
- Numpy
- Sci-kit Learn
- Mat-plot library
- Reading CSV files
- Saving in Python data
- Loading Python data objects
- Writing data to csv file
- Selecting rows/observations
- Rounding Number
- Selecting columns/fields
- Merging data
- Data aggregation
- Data munging techniques
- Central Tendency
- Probability Basics
- Standard Deviation
- Bias variance Trade off
- Distance metrics
- Outlier analysis
- Missing Value treatment
- Correlation
- Classification
- Regression
- Supervised Learning
- Linear Regression
- Logistic regression
- K-Means
- K-Means ++
- Hierarchical Clustering
- Support Vectors
- Hyperplanes
- 2-D Case
- Linear Hyperplane
- Linear
- Radial
- polynomial
- 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
- CNN – Convolutional Neural Network
- RNN – Recurrent Neural Network
- ANN – Artificial Neural Network
- Text Pre-processing
- Noise Removal
- Lexicon Normalization
- Lemmatization
- Stemming
- Object Standardization
- 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
- Text Classification
- Text Matching
- Levenshtein Distance
- Phonetic Matching
- Flexible String Matching
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.

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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.
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 Reviews

Vanitha
ACTE is one of the best institutes in Velachery for Artificial Intelligence as their learning process starts from the very basic and then keeps on getting complex. The internship really helps me to gain more knowledge in real-time projects. If anyone is looking to do a Machine Learning / Data Science/ Artificial Intelligence course I would highly recommend this institute

Valentina
I have Joined Artificial Intelligence course in ACTE. This Best Artificial Intelligence training in Tambaram. It is a good place for knowing and exploring more about Artificial Intelligence in depth. They teach you from the most basic topics no matter what is your stream. The faculties here are like the best teachers you can get for Artificial Intelligence training. Thanks to ACTE.

Barath
The course structure here covers almost all the latest technologies and statistical techniques. The best part about the Artificial Intelligence course is the hands-on experience that you get after each lecture from a mentor. There is a team of awesome data scientists who help you in applying the knowledge gained during the lectures to solve real-world problems. I believe this is the only institute in Tambaram providing quality and latest concepts for Data Science & Artificial Intelligence Thanks, ACTE

Avanthika
Getting Trained in Artificial Intelligence from ACTE has helped me a lot towards fulfulling my dream of becoming a Data Scientist. There advanced training curriculum & hands-on real-time projects helped me to build knowledge of Data Science. The learning experience with ACTE is excellent, internships with AI-related companies helps me to gain knowledge and dream.

Anila
Its the best ACTE institute to Artificial Intelligence , the faculty is very friendly and will help you through out and will guide you as many times as it requires you to learn. Clean and nice environment in Tambaram.
Artificial Intelligence Course FAQs
Looking for better Discount Price?
Does ACTE provide placement?
- 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
Is ACTE certification good?
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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
Work On Live Projects?
- 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
Who are the Trainers?
What if I miss one (or) more class?
What are the modes of training offered for this Artificial Intelligence Course?
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