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AI and Deep Learning Training in Bangalore

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  • Certified Professionals with High Grade Classes.
  • Fully up-to-date on real-world industry applications
  • Proficiently Training with trendy and real-time projects.
  • Determination Access to Student’s Portal, Videos & Top MNC Interview Question.
  • Best Approaches on Trending AI and Deep Learning Concepts with Nominal Cost.
  • Delivered More than 12402+ Students Trained & 350+ Recruiting Clients.
  • Next AI and Deep Learning Batch to Begin this week – Enroll Your Name Now!


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Weekdays Regular

08:00 AM & 10:00 AM Batches

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


Weekdays Regular

08:00 AM & 10:00 AM Batches

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


Weekend Regular

(10:00 AM - 01:30 PM)

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


Weekend Fasttrack

(09:00 AM - 02:00 PM)

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

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Learn at Home with ACTE

Online Courses by Certified Experts

Determine From Experts, Train On Projects & Get Placed in IT Company

  • We qualify people for their dream employment with help from a technological career and applicable industrial skills and hands-on training.
  • Get support from our experts in the preparation of the most recent positions in major MNCs, interviews, mock interviews, case studies, and career guidelines.
  • Our skilled teachers support all areas of the Ai and deep learning from beginning to advanced.
  • Obtain support from our experts in the preparation of the most recent positions in major MNCs, interviews, mock interviews, case studies, and career guidelines.
  • Our Entire understanding of Ai and deep learning technologies, such as Selenium Web Driver, TestNG, Maven, AutoIT, Selenium Grid, Appium, are available.
  • We produce you with training on how to operate, discover errors and deliver great software for projects in real-time.
  • Concepts: Data Science, Python, Python Basic Data types, Python Packages, Importing data, Manipulating Data, Statistics Basics, Artificial intelligence, Deep Learning Algorithms, Design Effective Reports, Customize Reports with Conditional Formatting, Analysis Studio, Event Studio, Business Insight, Properties of Services.
  • Classroom Batch Training
  • One To One Training
  • Online Training
  • Customized Training
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This is How ACTE Students Prepare for Better Jobs


Course Objectives

Data is that the number for brand new rising technologies like AI. The major trends through this field are training AI on less knowledge and using human language technology to understand the building blocks of life. AI is that the single largest technology revolution of our lives, it's a constellation of technologies that comprise machine learning, deep learning, and linguistic communication process (NLP). With Industries harnessing its power for practical usage and price it's become the most well-liked nonsense within the school business. Several organizations that have learned to unlock the worth cornered in large volumes of knowledge are providing spectacular pay to competent AI specialists. Because the marketplace for AI is anticipated to succeed in $70 billion by 2020, the work opportunities in this field are plentiful.

While Deep Learning had several spectacular successes, it's only a little part of Machine Learning, that may be a small part of AI. We tend to argue that future AI should explore different ways that on the far side deciliter. Deep Learning is an especially interesting development that has sparked the AI revolution in several aspects of our lives and is that the key technology behind the recent spectacular developments in fields.

Artificial Intelligence (AI) is changing into smarter day by day all related business functions to elevate performances. AI is employed wide in diversion, media, finance, robotics, quantum science, autonomous vehicles, and diagnosis. AI technology may be a basic requirement of abundant the digital transformation happening these days as organizations position themselves to make the most of the ever-growing quantity of knowledge being generated and picked up. To build a sure-fire career in AI, this course is meant to offer an entire understanding of AI ideas. This course offers you sensible, active expertise to make sure hassle-free execution of real-life comes. This AI course leverages the best business experience in creating you skilled data science specialists.

Artificial Intelligence these days is assuming each business domain. Machine Learning and particularly Deep Learning are the foremost necessary aspect of AI that are being deployed all over from search engines to online picture show recommendations. Taking the Deep Learning training will help professionals to create a solid career in a very rising technology domain and obtain the most powerful jobs in prime organizations.

A little little bit of coding skills is enough, however, it's higher to possess data of data structures, algorithms, and OOPs ideas. A number of the favored programming languages to learn machine learning are Python, R, Java, and C++. No-code AI platforms create machine learning accessible to everybody some simply plug and play and a few enable you to coach advanced models to your specific desires.

Deep Learning is that the hottest trend currently in AI and Machine Learning. we tend to review the favored software package for Deep Learning, together with:
  • Caffe
  • Cuda-convent
  • Deeplearning4j
  • Pylearn2
  • Theano
  • Torch
  • Scikit Learn
  • TensorFlow
  • MxNet
  • Keras
  • PyTorch
  • CNTK
These are the different forms of jobs that will help you to form a career in AI and Deep Learning:

Yes, we tend to do supply placement help that features career guidance, resume-building tips, and mock interviews. every participant can receive staunch support from the business mentors, who additionally direct you thru various placement opportunities among the business. Above all, we tend to are partnered with leading MNCs that supply placement opportunities to our participants.

What Skills can You Learn AI and Deep Learning training courses?

In this AI course, you'll be able to:
  • Understand the fundamentals of AI and the way these technologies.
  • Are re-defining the AI business.
  • Learn the key classification used in the AI area.
  • Learn major applications of AI through use cases.

What Programming languages and libraries will I learn as part of this AI and deep learning Certification training?

Participants can learn majorly regarding Python and introduction to R programming in accomplishing Artificial Neural Network Deep Learning algorithms. Python deep learning libraries together with TensorFlow, Keras and pc Vision, Image process Python library OpenCV are explained much whereas engaged on Deep Learning Neural Network architectures.

What are the Career Opportunities Of AI and Deep Learning Online training?

Becoming an AI experienced is that the most reasonable move for individuals engaged in SATA or connected work. One will opt to be a knowledge modelle, ML expert, Data man of science, etc., By learning AI & Deep Learning.

Who should take this AI and Deep Learning course?

This course does not want any programming skills and best suited for:
  • The course on AI and deep learning offer you the essential data of AI.
  • Well-suited for management and non-technical participants
  • Students who need to learn AI

Are there any conditions to learn AI and Deep Learning training ?

There is no requirement as such. We'll be covering basics together with Python for Machine Learning, Machine learning foundations, etc.

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Overview of AI and Deep Learning Training in Bangalore

ACTE offers AI and deep learning course in Bangalore to offer information and skills to become a successful Spark Developer and prepare you for the Spark Hadoop Developer Certification CCA176 Cloudera certified partner. Most companies collect large amounts of data and assess it to retain a competitive edge, therefore you need a fair level of computer capacity to analyze a vast quantity of data for in-deep learning. Deep learning algorithms are used to make predictive click forecasts, fraud detections, demand forecasts, etc. By taking this AI and deep learning you will get a profound awareness of topics such as HDFS, Flum, Squoop, RDDs, Spark Streaming, MLlib, SparkSQL, Kafka cluster, and API. In real-time, our specialists will start to use a Deep Learning framework for prediction to produce basic greeting words. Then you will learn Optimisation to enhance the accuracy of the algorithm.


Additional Info

Demand AI and Deep learning job:

Last year even profound learning did not feature on the same list. In the Indeed ranking of the top positions in job lists seeking AI or computer-learning, profound learning engines have finished in the second position. The news here is that last year deep learning was not even on the same list. These technicians are experts in that machine learning sub-set in which algorithms are inspired by the brain structure and function. In fields such as autonomous driving, sophisticated robotics, and face recognition systems, they are in great demand. According to McKinsey World Institute, deep learning may represent 3.5 trillion to 5.8 trillion a year. First came the designation of machine learning engineer while the three to five were leading data scientists, computer vision engineers, and information scientists.

How to Become an AI and deep learning:

I will assist you below in the many phases of an AI journey! Step 1 - Construct Mathematical History (2 Months) Step 2 – Take a course on Machine Learning (2 Months) Step 3 - Take the path of profound learning (2 Months) Phase 4 - Construct a project to end AI (3 Months). This study aims to understand how easily deep learning models may be started and almost flawless outcomes achieved using pre-trained models with a minimal number of data. The sole requirement is that you know how to encode in Python and you know high school mathematics. Many misunderstandings nowadays connect to the phrases machine learning, profound learning, and artificial intelligence (AI), most people assume that all these things are the same when hearing the phrase AI, they relate to AI engineers, who are in great demand and are right. Intelligence appears to have a never-ending potential to improve and simplify human activities such as speech recognition, imaging, business process management, and even illness detection. You might want to explore a profitable AI job and know how to become an AI engineer if you are technically inclined and have a history in software engineering.

Future of AI and Deep Learning:

Many advantages of learning AI now offer sufficient opportunities for AI careers. India's trusted online high school firm its courses dealing with AI have been developed. Both courses are the country's best-selling courses. You're not going to regret the course taking. Your abilities will enhance your career in AI explosively by taking these courses. The curriculum is created by top industry professionals to thrive in your AI profession. You don't need to go and can simply obtain a degree or master's degree. It also offers help for graduates from Bangalore and the University of Liverpool John Moores. In addition, these training courses offer to provide chances for AI careers in businesses such as Microsoft, Uber, PwC, etc. It offers additional benefits of exceptional education assistance, settlement of doubts, and networking. These two courses will begin off your AI career.

Artificial Intelligence and Deep learning Career Opportunities:

1. Big Data Engineer:- A big data engineer must provide an environment for efficient interaction across business processes. Their main duty is to construct and manage the big data of a company efficiently. They must also perform the role of robustly extracting results from Big Data. As a large data engineer, compared with other AI positions, you get decent pay. A Large Data Engineer works on the preparation, management, and creation of a big data environment in Spark and Hadoop systems. The position is appropriate for people interested in using new technological instruments and can go above the relationship database box.

2. Developer of Business Intelligence:- A business intelligence developer's key job is to look at its business skills together with AI. By evaluating sophisticated data sets, they detect distinct business patterns. By inventing, developing, and feeding into business intelligence solutions they serve to increase a company's earnings. The two important elements for their development are business profitability and efficiency. They also help optimize various procedures and workflows within the company. Recently, because they can handle difficult cloud-based platform data, their expectations have escalated.

3. Data scientists:- Data scientists help to get constructive insights by obtaining relevant data from several sources for evaluation. The results acquired are important in addressing different business challenges. Data scientists generate varied forecasts according to distinct data patterns, historical and current knowledge. Because of a data scientist, the business performance is positively affected. Job seekers are necessary for this career option to be prepared with contemporary tools, such as Spark, Hadoop, Pig, or Hive. The candidate has to be acquainted with Python, Scala, or SQL programming languages.

4. Engineer of Machine Learning:- Machine learning engineers contribute to the development and maintenance of self-running software to assist machine learning efforts. Companies are always in demand and their position is seldom available. They use large pieces of data and have exceptional data management characteristics. They operate in the fields of identification and speech acknowledgment, fraud prevention, client insight, and risk management. In the use of predictive models dealing with superb data, one has a solid command to become a machine learning engineer. Programming, computer, and mathematics are crucial to success as an engineer.

5. Research scientist:- Research scientists work on comprehensive research on machine learning and machine intelligence applications. A scientist has developed competence in applied mathematics, statistics, in-depth education, and machine learning. Applicants are scheduled for a Ph.D. or Masters of Mathematics or Informatics degree. A resource scientist's compensation is fairly high and firms hire people with strong AI experience. Substantial understanding of NLP and refinement learning is required in the course of their job application.

6. Analyst of AI data:- An AI data analyst's main job is data mining, data cleaning, and data analysis. The data needed to do data interpretation is acquired via cleaning. They eliminate any kind of unnecessary data so that the understanding of the data is not impaired. The data is drawn by an AI data analyst via statistical tools and methodologies. You need a bachelor of science in mathematics or computer science to become an AI data analyst.

7. Manager of product:- In the AI area, a product manager is responsible for resolving challenges by gathering data strategically. You should be able to identify important difficulties that hinder the business process. The next step is to collect the corresponding data sets to help analyze the data. The product manager must assess the commercial effects of the data interpretation after data interpretation. Each business requires a product manager whose requirements have now risen.

8. AI Engineer:- AI engineers are problem solvers that are responsible for developing, testing, and applying different Artificial Intelligence models. They manage AI infrastructure well. They utilize machine learning techniques to create usable AI models and comprehend the neural network. These models provide business information, which allows the firm to decide efficiently. A degree in Data Science, Computer Science, or Statistics or a postgraduate degree is necessary. Any type of ML or data science credentials adds to the benefit.

9. Scientist of Robotics:- The rise of automation in the field of AI will reduce jobs. On the other hand, jobs will also grow as robotics scientists are always being asked to program their robots by large businesses. The robots are used to effectively perform particular jobs. The candidate must hold a master of robotics, informatics, or technical studies. A robotics scientist has a rather high median pay. While robots are favorite for automation, some specialists should be included in their construction. This minimizes the possibility of employment losses.

Artificial Intelligence and Deep Learning in Benefits:

  • Human Intensive Labor Reduction:- In utilizing Smart Automation, AI has proven essential in decreasing human-intensive work. More than 2.25 million robots are used worldwide according to the Oxford Economics report in June 2019. (Threefold increase from last decade). Now in many factories, AI-enabled robotic systems carry out all the heavy lifting, hauling, transport, and other monotonous operations. This saves a lot of human effort, which can be used more effectively.

  • Enhanced Pharmaceutical Industry Efficiency:- For the pharmaceutical and medical industries, AI was a godsend. According to the MIT report, just 13% of the pharmaceuticals are in the clinical trial phase and Pharma firms also pay millions of dollars to take any of their medications. Pharmaceutical firms are therefore increasing the odds of their medications clearing clinical trials to ensure better use of their R&D budgets by using AI. Various algorithms help scientists in the analysis of historical data concerning genes, chemical reactions, and other qualities to identify the correct composition of various salts inside the medicine.

  • Financial Sector Transformation:- The analysis of historical data for improved results focuses on most financial applications. Artificial intelligence which analyses historical data by USP does not come as a surprise to experience enormous financial success. The financial industry of AI includes a wide range of applications including risk assessment, fraud detection, algorithm-based trading, financial consultation, and financial management.

  • The use of Chat-Bots by AI:- A previous version of Chat-Bots interactions was extremely time-consuming and irritating. The bots were sent into loops and could only help with predefined tasks. The natural-language chatbots with AI have a greater knowledge of human interactions and can learn on their own and are far more capable of delivering sufficient customer reaction.

  • Improved road safety:- More than one million people die each year in traffic accidents, according to the World Health Organization's report. To reduce such deaths, artificial intelligence plays a key role. Various businesses have started utilizing AI to capture and analyze the driving behavior of drivers from different disciplines, traffic regulatory compliance, and distance from other on-road cars at every minute. The information so obtained is utilized by AI apps to offer drivers with safety guidelines and to help car firms develop safer automobiles.

  • Fasting Disaster Response Predicting and Enabling:- Faced with disaster, artificial intelligence has shown to be a silver lining for humanity. Today, artificial intelligence apps use a new pattern recognition method to prevent natural disasters.

Artificial Intelligence and Deep Learning of Characteristics:

  • Eliminate dull tasks
  • Data ingestion
  • Imitates human cognition
  • Futuristic
  • Prevent natural disasters
  • Facial Recognition and Chatbots
  • Eliminate Dull and Boring tasks:- Every one of us has done a particular activity at some time only because we had to do it, not because we had the pleasure to. We thought it boring or awkward. You never have to feel the same boredom with a machine. The work will continue as directed by an artificially intelligent system, irrespective of how often. Such technologies also facilitate the users solely with boring, huge chores.

  • Ingestion of data:- One of the most significant artificial intelligence aspects is data intake. Artificially smart systems handle enormous data quantities. We cannot even comprehend the amount of data that businesses like Facebook handle, even if a tiny firm of 50 people has tremendous amounts of data to examine. In addition, an artificially smart system stores knowledge from many sources regarding numerous entities. This everything displays synchronously or concurrently on the system. The data we all produce is exponentially expanding, which is where AI enters. Such data are changed dynamically and it is hard to eat everything for traditional database systems. As a result, AI-enabled systems have gone far beyond collecting and analyzing data that can be valuable to everyone.

  • Imitates human cognition:- We call it an intelligent artificial system, as it fundamentally imitates or imitates the way that the human mind thinks and solves issues. That's why AI is special. As humans study their surroundings, form conclusions, and then interact with them, an AI tries to comprehend their surroundings correctly and behave appropriately. However, as of now, it is not fully achievable; developers and scientific researchers are working on systems that address artificially smart systems with their theory of mind and self-awareness. This leads us to ponder the day that an AI system can imitate the human mind completely and act precisely like a human being.

  • Futurist:- The systems enabled by the AI are meant to monitor their environment and react to it. Not only do they understand the world and take action accordingly, but also remember the circumstances that may arise shortly. A self-driven automobile would be a classic illustration of this feature. It takes note of the speed of the automobiles that roam and attempts to adopt comparable traffic speed patterns, also known as neural networks.

  • Prevent natural disasters:- For our companies, our gaming profiles, and more similar applications, we can all help with the use of AI. Now it is our responsibility to take AI a step forward and strengthen it so that governments can utilize it to handle disasters. Artificially smart systems can reliably forecast the future of disasters if supplied with data from thousands of prior disasters. Today, more than a lake of earthquakes and similar calamities such as tremors and volcanic eruptions are studied by aspects of artificial intelligence like these experts to build a neural network.

  • Facial and Chatbots Recognition:- Face recognition systems enable a machine, by confirming or identifying an individual s face, to unlock or give permitted access to a person. A camera within the machine senses the face and compares it in its memory with a previously saved face. Most smartphones are nowadays able to open the phone. My friends are famous and don't quit tugging at me. I exposed them to the passcode of my phone one day unintentionally. I just adjusted the security option from password to face recognition, afraid that they might screw up. Now, I can only unlock my telephone, which spared me from the shame of any type.

What's the salary of Artificial Intelligence and Deep Learning?

AI and deep learning have the potential for adding 2.6 trillion in marketing and sales and up to 2 billion in manual production and supply chain planning. But how much IT executives will pay to put these rare, highly trained people in order, which is of growing importance to AI specialists in their staff. We have collected some of the most significant data connected to AI wages, including the most expensive paydays, demand-based positions, changes in dynamics in supply and demand, hot location, and net employment rates.

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Key Features

ACTE Bangalore offers AI and Deep Learning Training in more than 27+ branches with expert trainers. Here are the key features,
  • 40 Hours Course Duration
  • 100% Job Oriented Training
  • Industry Expert Faculties
  • Free Demo Class Available
  • Completed 500+ Batches
  • Certification Guidance

Authorized Partners

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


Syllabus of Artificial Intelligence(AI) & Deep Learning Course in Bangalore
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
  • Mean
  • Median
  • Mode
  • Skewness
  • Normal Distribution
  • Probability Basics
  • What does mean by probability?
  • Types of Probability
  • ODDS Ratio?
  • Standard Deviation
  • Data deviation & distribution
  • Variance
  • Bias variance Trade off
  • Underfitting
  • Overfitting
  • Distance metrics
  • Euclidean Distance
  • Manhattan Distance
  • Outlier analysis
  • What is an Outlier?
  • Inter Quartile Range
  • Box & whisker plot
  • Upper Whisker
  • Lower Whisker
  • Scatter plot
  • Cook’s Distance
  • Missing Value treatment
  • What is a NA?
  • Central Imputation
  • KNN imputation
  • Dummification
  • Correlation
  • Pearson correlation
  • Positive & Negative correlation
Module 8: Error Metrics
  • Classification
  • Confusion Matrix
  • Precision
  • Recall
  • Specificity
  • F1 Score
  • Regression
  • MSE
  • RMSE
  • MAPE
Module 9: Machine Learning
  • Supervised Learning
  • Linear Regression
  • Linear Equation
  • Slope
  • Intercept
  • R square value
  • Logistic regression
  • ODDS ratio
  • Probability of success
  • Probability of failure Bias Variance Tradeoff
  • ROC curve
  • Bias Variance Tradeoff
  • Unsupervised Learning
  • K-Means
  • K-Means ++
  • Hierarchical Clustering
  • SVM
  • Support Vectors
  • Hyperplanes
  • 2-D Case
  • Linear Hyperplane
  • SVM Kernal
  • Linear
  • Radial
  • polynomial
  • Other Machine Learning algorithms
  • K – Nearest Neighbour
  • Naïve Bayes Classifier
  • Decision Tree – CART
  • Decision Tree – C50
  • Random Forest
  • AI Introduction
  • Perceptron
  • Multi-Layer perceptron
  • Markov Decision Process
  • Logical Agent & First Order Logic
  • AL Applications
Module 11: Deep Learning Algorithms
  • CNN – Convolutional Neural Network
  • RNN – Recurrent Neural Network
  • ANN – Artificial Neural Network
  • Introduction to NLP
  • Text Pre-processing
  • Noise Removal
  • Lexicon Normalization
  • Lemmatization
  • Stemming
  • Object Standardization
  • Text to Features (Feature Engineering)
  • 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
  • Tasks of NLP
  • Text Classification
  • Text Matching
  • Levenshtein Distance
  • Phonetic Matching
  • Flexible String Matching
Module 12: Design Effective Reports
  • Enhance report design
  • Add report objects to enhance design
  • Format data and report objects
  • Add a background image to a report
  • Add row numbers to a report
Module 13: Customize Reports with Conditional Formatting
  • Create multi-lingual reports
  • Highlight exceptional data
  • Show and hide data
  • Conditionally render objects in reports
Module 14: Analysis Studio
  • Analysis Studio Fundamentals
  • Nest Data in Crosstabs in Analysis Studio
  • Create Analysis with Multiple filter
  • Reusable analysis
  • Build Advanced Crosstabs in Analysis Studio
  • Focus with Filters in Analysis Studio
  • Creating reports from cubes
  • Drill down and drill up
Module 15: Event Studio
  • Introduction to Event Studio
  • Create an agent
  • Add tasks to an agent
  • Run an agent through its lifecycle
  • Schedule an agent
Module 16: Business Insight
  • Introdcution to Dashboards
  • Create Dashboard
  • Types of Filter-Value, Slider and advanced filter
  • Overview of RSS Feed and web Page
  • Content Pane
  • Create Widgets
  • Sort, Filter and Calculate data
  • Hands on
Module 17: Business Insight Advanced
  • Overview of Business Intelligence Advance level
  • Create Different types of Reports
  • Reporting Styles and filters
  • Create dashboard objects
  • Summarize data and Create Calculations
  • Dispatcher and Services
Module 18: Dispatcher in detail
  • All Services
  • Properties of Services
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Hands-on Real Time AI and Deep Learning Projects

Project 1
Automatic Attendance System Projects.

The main objective of this project is to offer system that simplify and automate the process of recording and tracking students' attendance through face recognition technology.

Project 2
Price Negotiator Ecommerce Chatbot System Project.

Objective of Price Negotiator E commerce Chat Bot System introduced a system that makes the e-commerce sites to have their works in efficient manner.

Project 3
Learn to Drive with Reinforcement Learning Project.

The goal of reinforcement learning is to pick the best known action for any given state, which means the actions have to be ranked, and assigned values relative to one another.

Project 4
Fake Product Review Monitoring System Project.

The proposed Fake Product Review Monitoring system brings out the technology which helps to find out the review that made for product is true.

Our Engaging Hiring Partner for Placements

ACTE is glad a AI And Deep Learning course for the up-and-comers who long to gain from a spot and season of their inclination. In the previously mentioned preparing program, you will adapt especially about artificial intelligence and deep learning consciousness, and profound learning.
  • Our applicants go to interviews regularly across organizations through Our Best Training Institute.
  • 100+ Top organizations enlist from us like Dell, Accenture, Google, CTS, TCS, IBM and so on It make us skilled to put our understudies in top MNCs across the globe.
  • After completion of 70% AI and deep learning online course getting the hang of instructional class content, we will orchestrate the meeting calls to understudies and set them up to F2F cooperation.
  • We set up your resume according to industry guidelines.
  • We will send your resumes to organizations till you land position, we thoroughly support till you land your fantasy position.
  • We offer you inquiry and responses which are posed in organizations.
  • We direct Mock tests and counterfeit meetings to support your certainty level.

Get Certified By AI & Deep Learning & Industry Recognized ACTE Certificate

All big global cities around the globe embrace ACTE Certification. We provide rookies and corporate trainees after they have completed the academic and real-time training. The training has also brought me up to speed on current events in the field, and I now know how to apply what I've learned to my study. As a result, it was worthwhile for me.... You'll receive a certificate at the end of the course that you can add to your LinkedIn page.

Our ACTE diploma is understood all around the world. It raises the value of your CV and allows you to obtain top work pressure in the world's biggest MNCs with the help of this certification. The certification is only given if our AI and Deep Learning training and practical projects are already fully resolved.

Our ACTE Instructors will help the students to grab the knowledge on Other Automation Anywhere Course and trained them to get other certification which is listed below:

  • DeepLearning.AI TensorFlow Developer: DeepLearning.AI.
  • Machine Learning Engineering for Production (MLOps): DeepLearning.AI.
  • Natural Language Processing: DeepLearning.AI.
  • Generative Adversarial Networks (GANs): DeepLearning.AI.

  • The Professional Certificate Program in Machine Learning & Artificial Intelligence is designed for: Professionals with at least three years of professional experience who hold a bachelor's degree (at a minimum) in a technical area such as computer science, statistics, physics, or electrical engineering.
  • Join Our ACTE AI & Deep Learning Training Course get communicate with our instructors will get an idea regarding the subject and schedule the study plan for certification exam.
  • Apply your skills with hands-on projects and build a portfolio that showcases your job readiness to potential employers. You'll need to successfully finish the project(s) to earn your Certificate.
  • Many Professional Certificates have hiring partners that recognize the Professional Certificate credential and others can help prepare you for a certification exam.
  • Our ACTE Instructors will help the students to grab the knowledge on Other AI & Deep Learning Course and trained them to get other certification which is listed below:

You will get hired for the following positions if you have a AI & Deep Learning certificate

  • Artificial Intelligence & Machine Learning Engineer
  • AI/ML Engineer - Python/Deep Learning
  • Artificial Intelligence And Machine Learning Leader
  • Software Engineer
  • Senior Ai Research Scientist

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 Qualified AI and Deep Learning Trainer

  • Our AI and Deep Learning Instructors are very equipped experts with more than 9+ long periods of steady mastery who are broadly viewed as the best in the business and now serve for enormous organizations.
  • Even after the preparation is finished, broad instructing by means of drawing in scenes like Whatsapp, discussions, and web-based media stages is offered to productively execute any questions.
  • Our Instructors give a mix of class, educator drove on the web, and E-learning choices to guarantee that candidates get balanced knowledge and advance their expectation to learn and adapt.
  • We tweak our administrations to your one of a kind rules, with a solid spotlight on involved insight and preparing on long haul projects.
  • Instructors motivate candidates perception by showing them widely on the most forward-thinking approaches , offering Students with the AI and Deep Learning Training in Bangalore to the candidates.
  • We have gotten different lofty honors for artificial intelligence and profound taking in Preparing in Bangalore from remembered IT associations.

AI and Deep Learning Course Reviews

Our ACTE Bangalore 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.



Real time scenarios are explained along with hand full of assignments. Explanation of the topics are done very clearly and in easy manner so that the person without any background knowledge will also be able to follow up on the topics of AI and Deep Learning Personal attention is payed to each and every student. Fun loving and friendly environment at class as they are not over crowded in ACTE Omr


Software Engineer

I had completed my AI and Deep Learning course at Bangalore. ACTE is the best place to improve your skills and to move forward in your career. The trainers and faculty here were very friendly and comfortable. My trainer had explained the concept as well as the subject in clear way. Topics are not skipped and trainer ensures that you understand the topic. Thanks to my trainer and ACTE for this wonderful opportunity!


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


This is best Training institute in chennai for AI and Deep Learning for Fresher and they provide placement to each and every student. I have done my course in ACTE and finally got placed in good company.Thanks to all the ACTE Team members and faculities.!



ACTE is one of the best institutes in Chennai 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

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AI and Deep Learning 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 AI and Deep Learning 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 AI and Deep Learning Course At ACTE?

  • AI and Deep Learning Course in ACTE is designed & conducted by AI and Deep Learning experts with 10+ years of experience in the AI and Deep Learning 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 AI and Deep Learning batch to 5 or 6 members
Our courseware is designed to give a hands-on approach to the students in AI and Deep Learning. The course is made up of theoretical classes that teach the basics of each module followed by high-intensity practical sessions reflecting the current challenges and needs of the industry that will demand the students’ time and commitment.
You can contact our support number at +91 93800 99996/ Directly can do by's E-commerce payment system Login or directly walk-in to one of the ACTE branches in India
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