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Artificial Intelligence Training in Mumbai

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06- Jul - 2022
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Your job possibilities will be enthralled by our Artificial Intelligence Course.

  • The course covers the basics of artificial intelligence for those starting in the field. You will learn about the main approaches and research areas of artificial intelligence. The course explores both the advantages and the risks of artificial intelligence.
  • This course starts with a discussion of neural networks and then goes into greater detail about advanced topics. Learning about neural networks and their basic principles will help you understand how they work. Besides learning how to train neural networks, you will also learn how to generalize them.
  • We will use different neural networks in the next step and develop real-world applications. Getting proficient at solving complex computer problems will be your goal.
  • Through the use of neural networks, you can leverage artificial intelligence for your applications.
  • By applying a generic, real-world approach to every concept, you become independent and capable of solving any problem.
  • The program provides expert advice on how to learn and begin a career in artificial intelligence, as well as exposing you to various ethical and bias issues. You will also demonstrate AI in action with a mini-project.
  • This course is designed to introduce everyone to the basics of artificial intelligence without requiring prior knowledge of programming or computer science.
  • 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!
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Course Objectives

Artificial Intelligence will penetrate every field of work in the future. It could help with machine learning, data mining, and analysis, Artificial Intelligence software development, program management, and testing. With the breakthroughs in Artificial Intelligence, there will be a larger demand for AI-certified professionals.
The curriculum is designed to provide you a comprehensive grasp of AI topics, such as the principles of statistics required for Data Science, Python programming, and Machine Learning. These AI courses will teach you how to use Python libraries such as NumPy, SciPy, and Scikit, as well as important Machine Learning techniques such as supervised and unsupervised learning, advanced concepts such as artificial neural networks and layers of data abstraction, and TensorFlow.
  • Artificial Intelligence (AI) developer
  • Artificial Intelligence Architect is the administrator of Artificial Intelligence.
  • Associates in Artificial Intelligence.
  • Data Analyst Manager of Analytics and Machine Learning Engineer in Artificial Intelligence
  • Azure AI Platform is a cloud-based artificial intelligence platform from Microsoft.
  • Google offers the Google Cloud AI Platform as a service.
  • Watson is an IBM product.
  • Infosys Flow of Nia's Dialog.
  • The term "BigML" stands for "Big Machine Learning."
  • Through application program interfaces, other apps will be able to use machine learning models (APIs).
  • Builds AI models from the ground up and assists various components in understanding the model's output (such as product managers and players).
  • Create infrastructure for data input and transformation.
  • Automate the data science team's infrastructure.
  • Conduct statistical analysis and fine-tune data for the organization to make informed decisions.
Artificial intelligence has risen to prominence as a result of recent technological achievements. Deep learning and master learning enterprises thrive as a result of the increased demand for solutions, and their valuations rise faster than before. This trend has been recognized, and popular courses on the benefits of such technology are being offered to young professionals seeking to advance their careers.
Although artificial intelligence is a lucrative sector with above-average job growth, it is nonetheless a competitive industry. The roles in this sector are unique, requiring a complex technical background as well as substantial hands-on experience. Computer science is a part of almost every company's and individual's future. Computer science has played a vital part in new technology such as big data, robotics, and the Internet of Things, and it will continue to do so shortly.

What is Artificial Intelligence used for?

Artificial intelligence (AI) can be beneficial to a variety of enterprises in a variety of industries. It powers helpful assistants like Amazon's Alexa and Apple's Siri, as well as assisting computers in determining whether emails are spam. Single-tasking machines already exist. When contacting a customer service agent via a website chatbot or searching for a term on Google, you may have utilized AI, and the artificial intelligence software completed the word for you.

How can I become an AI Engineer?

You can become an AI Engineer by acquiring all of the talents required of an AI specialist. This is exactly what the Artificial Intelligence course can assist you with. Enroll in the training program to gain a thorough understanding of the domain.

What will you learn through this AI training course?

The following are just a few of the many topics/modules that you will learn as part of the program:

  • Deep Learning Techniques: The Fundamentals
  • Artificial Neural Networks: An Overview
  • Using the training data to train a neural network
  • Applications of convolutional neural networks
  • TensorFlow and Tensor processing units are two types of TensorFlow and Tensor processing units.
  • Methods of supervised and unsupervised learning
  • Python for Machine Learning

Does Artificial intelligence require coding?

Yes, programming is essential to understand and construct Artificial Intelligence solutions. Python, LISP, Prolog, C++, and Java are the top five languages that aid in the AI field.

What are the tools of Artificial Intelligence?

  • Scikit Learn.
  • TensorFlow.
  • Theano.
  • Caffe.
  • MxNet.
  • Keras.
  • PyTorch.
  • CNTK.
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Overview of Artificial Intelligence Training in Mumbai

Artificial Intelligence (AI) is a branch of computer science that uses machines to learn from their experiences and imitate intelligence to do human-like tasks. This Artificial Intelligence certification course provides in-depth understanding of the many researches linked with it, as well as sophisticated applications of Artificial Intelligence in diverse industries, such as retail, banking, finance, utilities, and energy. For this Artificial Intelligence course, Microsoft offers a professional certification, while IBM offers a certification in Data Science Professional. In AI professionals earn an average salary of 14.3 lakhs, according to a recent survey by economic times.

 

Additional Info

What is purpose of Artificial Intelligence?

The creative process never ends since ideas are limitless. Likewise, artificial intelligence offers a great deal more to be created, improved, implemented, and invented. There is a long way to go before AI can create new things at its current saturation level.

Artificial Intelligence is meant to accomplish the following in short:
  • The machine will be more efficient and accurate
  • Design machines capable of replicating human intelligence
  • Create tools that help solve real-world problems, for example, robots that assist people with disabilities, auto-driving vehicles to protect people from human error, etc.
  • Artificial Intelligence - what makes it so popular?

    By designing self-learning algorithms, Artificial Intelligence incorporates human abilities into machines so the machines can think as humans do. By allowing the machine to solve problems without explicit human input, it would be able to solve problems more effectively. The success of this project, however, requires a lot of creative thinking and computation. A lot of things can be explored and created using Artificial Intelligence due to its immense popularity. In our everyday lives, we come across applications of Artificial Intelligence that are just a small demonstration of AI's wonder-struck beginnings.

    Artificial Intelligence Engineers can be involved in various roles and responsibilities, including:

    Developing software:- Engineers responsible for artificial intelligence should be highly knowledgeable about machine learning, including modeling and validation. A model's readiness to be deployed and its retention or replacement is also decided by them. Ultimately, AI isn't about creating machines that are capable of learning, but about creating machines that can self-analyse.

    AI Algorithms Creation and Implementation :- Algorithm-based systems are based on artificial intelligence. Using these algorithms, in combination with iterative processing, the software learns by itself. AI engineers write the codes needed to make AI machines work. Coding is the most challenging part of developing an AI-based system and the engineer must determine the logic or algorithm to be applied and consider the requirements of the product before writing the code.

    How to build a data science infrastructure :- Data analysis and extraction use AI extensively. In the AI software development process, the development team creates environments that can easily be replicated and managed after the final product is released. As well as managing and producing AI infrastructure, they are responsible for setting it up. Engineers who work on hardware AI assemble the machine, set it up, and configure it to function correctly.

    The Analysis of Data:- Using machine learning algorithms, engineers gather data and identify common pitfalls. Assuring that the analytics backend corresponds to the business goals requires collaboration with data scientists and architects, as well as business analysts. Engineers working in the field of artificial intelligence are responsible for staying current with the latest developments. Engineers who work on large-scale projects are often required to work with big data. Different types of problems can be solved using data analysis.

    Language processing in natural language :- Human-computer communication is the focus of NLP, the study of human-computer communication. Human voice and command are intended to be improved and machines are to be improved. A large number of data sets and algorithms are utilized in NLP, just like in machine learning. Voice assistants such as Siri and Alexa are notable examples of NLP. In order to develop this technology further, it must be able to grasp human language in a deeper way, until it can understand what someone is asking for when they are presented with completely new commands.

    Image Processing :- Robots and machines can respond to what they see using image processing algorithms. Using a machine to identify problems in the production process or any manufacturing process can be beneficial to engineers. In the engineering field, artificial intelligence continues to play a significant role. Moreover, AI engineers are expected to drive innovation and change not only in the IT sector, but in a number of other fields as well.

    AI skills that are in high demand

    To attain a career in artificial intelligence, you must master a number of skills, all of which require years of training. Knowing what skills are most sought after in AI can help you land the job you want since there are many career options available. Science continues to seek new and innovative ways to make machines think (requires highly specialized research). These engineers create algorithms based on those hypotheses that make it easier for machines to make decisions (requiring deep understanding of programming languages). In all these fields, the most common requirement is an extensive background in math and science.

    You should have the following skills to succeed in artificial intelligence:
  • Programming languages (Python, R, Java are the most necessary)
  • Linear algebra and statistics
  • Signal processing techniques
  • Neural network architectures
  • Intelligent Machines: Their Advantages:

    Human error was reduced:- It is inevitable that humans will make errors in tasks requiring precision. In contrast, if the machines are programmed correctly, they do not perform repetitive tasks incorrectly and don't make many errors, if any.

    Prevention of risk:- Humans can be replaced with intelligent robots thanks to Artificial Intelligence, one of its greatest advantages. Now, artificially intelligent robots are replacing humans in places like coal mines, deep ocean exploration, sewage treatment, and nuclear power plants to prevent disasters.

    Getting rid of repetitive jobs:- The tasks we do on a daily basis include many repetitive tasks that remain unchanged. It isn't necessary to be creative and to find new easy ways to wash your clothes and mop the floor every single day. There are even large industries that have production lines in which a similar number of tasks must be completed exactly in a certain order. These functions are now performed by machines, so humans can devote these hours to creative endeavors.

    A digital assistance program:- Organizations can save money and time by adding digital assistants to enable users to interact with them on a 24/7 basis. Neither the organization nor the customers lose out, because the situation is win-win. A chatbot is nearly impossible to distinguish from a real person in most cases due to the design.

    Artificial Intelligence: Its Limitations

    Created at a high cost:- The pace at which computational devices are upgraded may sound a little spooky, but it is astounding. For machines to keep up with the latest requirements, they need to be repaired and maintained over time, which takes a lot of resources.

    Emotionless:- Machines are much more powerful and faster than humans, there is no doubt about that. The ability to simultaneously execute multiple tasks and produce results in a split second is one of their strongest attributes. Additionally, AI-powered robots are able to lift heavier loads, increasing the production cycle. Teams cannot be effectively managed without the emotional connection human beings can establish.

    A box thinking approach:- With a defined range of constraints, machines can perform perfectly as assigned tasks or operations. Once they get out of the trend, however, they begin producing ambiguous results.

    C

    Can’t think for Itself:- A computer program that simulates the way we make conscious decisions is artificial intelligence. However, it is currently able only to accomplish the tasks it was programmed to perform. Empathy, compassion, and emotions cannot be incorporated into artificial intelligence. When self-driving cars are not programmed to consider the deer as a living organism, they will continue to drive even if they hit and hit the deer.

    Artificial intelligence: what are its applications?

    Now that we know various real-life uses of AI, it's time to understand how it works.

    Fraud Detection:- Data on both fraudulent and non-fraudulent transactions is fed into banks' Artificial Intelligence systems. With the help of this data, the AI systems learn to distinguish between transactions that are fraudulent and those that are not.

    Movie and Music Recommendations:- Similarly, Spotify, Pandora, and Netflix recommend music and movies based on the past interests and purchases of their users. In these sites, users' previous choices are used to guide the learning algorithm by using them as inputs.

    Retailing with artificial intelligence:- Up to 36 million dollars will be spent on AI software by 2025. In recent years, Artificial Intelligence has become a topic of interest for retailers as a result of this hype. Many big and small-scale industries use AI tools across the entire product lifecycle, starting with assembly and ending with customer service interactions.

    Flight on autopilot:- AI technology will automate most of the functions of the flight once the pilot places the system in autopilot mode. As reported by the New York Times, an average Boeing plane only requires 7 minutes of human intervention (which is mostly required during takeoff and landing).

    AI in Healthcare:- AI helps detect diseases such as tumors and ulcers in the early stages of development with help from radiological devices like MRI machines, X-rays, and CT scanners. When a tumor is detected in the early stages of the disease, the risk of premature death is greatly reduced. Unfortunately, there is no solid treatment for chronic diseases like cancer. By analyzing their R-Health records, AI can also suggest medications and tests. Furthermore, artificial intelligence is used in the development of new drugs as well as the study of the effects of existing drugs.

    Artificial Intelligence in Transportation:- A true leap from fiction to reality is taking place with autonomous vehicles. Vehicles can collect data about their surroundings, analyze it, and make decisions accordingly with advanced AI algorithms, cameras, and LIDAR. Commercial airplanes are equipped with autopilots that take over after takeoff and make sure all parameters are aligned. Advanced navigation systems are also used to customize their routes quickly to save time and ensure that ships are prepared for changing conditions, which could be hazardous for cargo ships.

    Challenges in Artificial Intelligence

    1. Availability of computing power:- The power requirement of these power-hungry algorithms has kept most developers away from them. The stepping stones of Artificial Intelligence are machine learning and deep learning, which have accelerated demand for processors and graphics cards. Asteroids tracking, healthcare deployment, tracking of cosmic bodies, and more are some examples of domains where deep learning frameworks can be implemented. Computing power from supercomputers is needed, and supercomputers aren't cheap. Cloud computing and parallel processing have given developers the ability to work on AI systems more efficiently, but these services aren't free. The increasing inflow of data and rapidly increasing complexity of algorithms means that not everyone can afford that.

    2. Deficit of trust:- Deep learning models' ability to predict outcomes is generally unknown, which is a cause of concern for AI. For a layman, it is a difficult concept to understand how a specific set of inputs can lead to a solution for different kinds of problems. People around the world are unaware of the use and existence of artificial intelligence, or how it is integrated into everyday items like smartphones, Smart TVs, banks, and cars (at least to some extent).

    3. Lack of knowledge:- Even though we can use Artificial Intelligence in many applications to improve on the traditional systems. Artificial Intelligence is a real problem, but we are not aware of it. AI is only known to a very small number of people, including technology enthusiasts, students, and researchers. Many SMEs (Small and Medium Enterprises) can be taught innovative ways to increase their production, manage their resources, sell and manage products online, learn and understand consumer behavior, and quickly and efficiently react to markets. In addition, they don't know about service providers such as Google Cloud, Amazon Web Services, etc.

    4. A human-level approach:- Researchers have been thinking of ways to provide AI services to companies and startups, and finding innovative ways to tackle this challenge has kept them on the edge of their seats. Despite the fact that the companies boast accuracy over 90%, we are still better at handling these situations as humans. Take for example, the prediction of whether an image represents a dog or a cat. The human brain reaches a remarkable accuracy of almost 99% on its predictions. In order for a deep learning model to perform similarly, it should be finetuned extensively, have hyperparameter optimization, large datasets, and a well-defined and precise algorithm, as well as robust computing power, uninterrupted training on training data, and continuous testing. Although it may seem like a lot of work, it's actually one hundred times more difficult than it appears. In other words, you could use a service provider to train certain deep learning models using pretrained models instead of doing all the hard work yourself. Their accuracy has been fine-tuned with millions of images, but the real problem is that they still show errors and would struggle to reach human levels.

    5. Security and privacy of data:- Data and resources for training Deep and Machine Learning models are the two main factors on which they are all based. While we do have data, since this data has been gathered from millions of users throughout the world, there is the possibility that it can be misused. A few companies have already started developing innovative ways to overcome these obstacles. Hence, the data is not transmitted back to the servers when it is trained on smart devices, only the trained model is transmitted back to the organization.

    6. Bias and Its Causes:- AI systems' good or bad qualities are determined by how much data they are trained on. Thus, good AI systems in the future will be built on the ability to gain good data. Nevertheless, the organisation's day-to-day data is unreliable and of little significance in and of itself. They lead to biased conclusions, and are formed based on ethnicity, group membership, gender, community, your age, and other racial predispositions. It is only by creating algorithms that track these problems efficiently that the real change can be brought about.

    7. Scarcity of data:- The existence of stringent IT rules, such as those in India, is allowing countries such as Google, Facebook, and Apple to limit the flow of user information. Due to this, these companies must now use local data when developing global applications, which results in bias. Labelled data is used to train machines and to make predictions. Data is a very important aspect of AI. Despite the lack of data, some companies are trying to create AI models that can predict the results accurately. The system would be flawed with biased information.

    Careers in Artificial Intelligence

    Over the past decade, career opportunities in artificial intelligence have exploded. In the AI world, it's best to have a data-driven mind and a passion for improving and transforming existing processes. There is a growing need for AI-related jobs as almost every industry has a pioneer or two who have dabbled in AI. You will be able to make better decisions about your career path and the education you will need to obtain to make it to the top of the AI pyramid when you understand the job roles that are involved in AI. Along with the skills required for artificial intelligence, the jobs are listed in no particular order.

    Engineer/Developer in AI/Machine Learning:- A developer of AI/ML systems will be responsible for performing statistical analysis, performing statistical tests, designing, and developing machine learning programs, analyzing and implementing AI/ML algorithms, and training ML systems. The following concepts are covered: Computer Science, Machine Learning, Deep Learning, Statistics, Cloud Computing, and Natural Language Processing. Java, Scala, and Python are programming languages. AWS Machine Learning Studio, Apache Signa, Azure ML Studio, Scikit Learn, Spark MLib, Apache Hadoop.

    Data Scientist:- Data scientists identify valuable data streams and sources, work with data engineers to automate data collection processes, analyze large amounts of data to identify trends and patterns, build statistical and predictive models with the help of data engineers, and present solutions and strategies to decision-makers using compelling visualization tools and techniques. The concepts include Computer Science, Statistics, Machine Learning, Deep Learning, Mathematics, Natural Language Processing, and Neural Networks. The tools used are SQL, Python, R, Scala, SAS, and SSAS. AWS Machine Learning Framework, Spark MLlib, Apache Hadoop, Scikit Learn, Microsoft Azure ML Studio, Scikit Learn.

    Data Scientist/Analytics Manager:- It provides direction, manages resources, and supervises a team of data scientists. To succeed in this role, you must have a deep understanding of big data systems, machine learning architectures, and data science techniques, as well as manage projects effectively and build strong relationships. Data scientists and analytics managers set priorities for their teams and communicate findings to senior management.

    Research Scientist:- Ideally, a research scientist should be knowledgeable in multiple AI disciplines such as applied mathematics, computation statistics, machine learning, and deep learning. A research scientist typically holds a doctorate in computer science or a master's degree in computer science. The following concepts are covered: Computer Science, Statistics, Mathematics, Machine Learning, Reinforcement Learning, Deep Learning, Natural Language Processing, and Neural Networks. Python, R, Scala, SAS, SSAS, and a variety of other programming languages. ML frameworks, such as AWS ML Studio, Azure ML Studio, and Spark MLlib, are available for Apache Hadoop, Scikit Learn, and Spark MLlib.

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    Key Features

    ACTE Mumbai 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 Mumbai
    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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    Need customized curriculum?

    Hands-on Real Time Artificial Intelligence Projects

    Project 1
    Shock Front Classification

    This AI project detects shock fronts in computational fluid mechanics (CFD) simulations. The presence of shock results in additional complexities in fluid mechanics.

    Project 2
    Predicting Bird Species

    This classification-based AI project can be approached in two ways. If you are a beginner, you can use a random forest to predict bird species.

    Project 3
    Identifying Handwritten Mathematical Symbols

    In this Artificial Intelligence project, you will be using a convolution neural network (CNN) to detect handwritten mathematical symbols.

    Project 4
    Scotch Whisky Classification

    In this simple AI project, you will classify scotch whiskeys based on their flavor characteristics. Here, we will use datasets of scotch whiskeys from several distilleries.

    Our Engaging Placement Partners

    ACTE Mumbai offers placement opportunities is meant to provide applicants with hands-on Artificial Intelligence training in the classroom or online to assist them gain industry exposure in understanding Artificial Intelligence platforms, techniques, and applications in order to construct and execute effective Coding campaigns
    • We also offer one-on-one trainings to our candidates so that students can better understand the subjects. 
    • Placement Training also assist our candidates with theory notes to help them prepare with mock tests and actual interviews. 
    • We also offer certification to our candidates after the completion of the course so they can include it on their resume. 
    • Artificial Intelligence Course in that we offer is suitable for both beginners and as well as for experienced testers. 
    • We provide excellent training to applicants so that they can obtain their dream career eventually. 
    • Aptitude exams are also taught to our Learners and also Aptitude tests are conducted for our candidates.

    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

    Get Certified

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

    Get Certified

    About Qualified Artificial Intelligence Instructors

    • Our extremely qualified Artificial Intelligence trainers have over 9+ years of expertise in the business. 
    • Our instructors provide proper instruction to applicants in order for them to obtain their desired positions. 
    • Our trainers teach to applicants from the very beginning that is from the scratch so the concepts are clear.
    • Trainers conduct one-on-one training so that they may focus on a single candidate at a time. 
    • Our instructors assist our applicants in obtaining decent careers with Tech Giants. 
    • We have a dedicated Projects on which you conduct genuine relevant exploration and Placement support team wing that assist applicants in securing placement according to their requirements

    Artificial Intelligence Course Reviews

    Our ACTE Mumbai Reviews are listed here. Reviews of our students who completed their training with us and left their reviews in public portals and our primary website of ACTE & Video Reviews.

    Vanitha

    Student

    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

    Venky

    Here Artificial Intelligence trainer is experience professional.They have practically knowledge about Artificial Intelligence training they teach us. Also, they help in enhancing our knowledge and our skills regarding the purpose of jobs as well by providing training on live projects. I would definitely suggest ACTE for friends to learn Artificial Intelligence course in Mumbai.

    Barath

    Software Engineer

    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

    Student

    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 Bangalore.

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    Artificial Intelligence Course FAQs

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    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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