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AI and Deep Learning Training in Pune

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Learn from Certified Experts

  • Practical Classes for both beginners and experience.
  • Hands-On Learning in AI and Deep Learning.
  • Multifold propitious Training on well-customized Industry related course content.
  • Proficient Teaching in Real-time with Popular Projects.
  • Best approaches to nominal cost AI and Deep Learning Certification.
  • Delivered More than 12402+ Students Trained & 350+ Recruiting Clients.
  • Next AI and Deep Learning Batch to Begin this week – Enroll Your Name Now!


INR 18000

INR 14000


INR 20000

INR 16000

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+91-8376 802 119

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Upcoming Batches

27- Mar - 2023

Weekdays Regular

08:00 AM & 10:00 AM Batches

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

29- Mar - 2023

Weekdays Regular

08:00 AM & 10:00 AM Batches

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

25- Mar - 2023

Weekend Regular

(10:00 AM - 01:30 PM)

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

25- Mar - 2023

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

Get Our Resourceful AI and Deep Learning Training

  • We Educate candidates for getting their Dream Job with help of a tech career and with Relevant IT Skills and Practical Learning.
  • Get to Learn the trending updates and Image Editing Tools, Layouts, Color Effects in the AI Program from the Experts.
  • You will not solely gain data of AI and Advanced tools however additionally gain exposure to business best practices, ability & SoftSkills.
  • Experienced Trainers and research lab Facility.
  • IBM AI Engineering skilled Certificate steerage Support with examination Dumps. For the company, we have a tendency to act as a one-stop recruiting partner. We offer the proper arch candidates United Nations agency area units that are productive right from day one.
  • Resume & Interviews Preparation Support.
  • Concepts: information Science, Python, Python basic and Packages, commerce information, Manipulating information, Statistics Basics, Error Metrics, Machine Learning, Unsupervised Learning, SVM, SVM Kernel, alternative Machine Learning algorithms, Deep Learning Algorithms, NLP, Text to options, Tasks of NLP.
  • Classroom Batch Training
  • One To One Training
  • Online Training
  • Customized Training
  • Enroll Now

This is How ACTE Students Prepare for Better Jobs


Course Objectives

Professionals and start-up founders from a variety of fields and businesses who wish to further their careers with AI. Our course is open to MTech and Ph.D. students. Database administrators, business analysts, Founders, CS professors, researchers, computer scientists, and data engineers may all benefit from our Deep Learning training.
Deep Learning Engineers are in high demand across a wide range of businesses, therefore this Deep Learning course with Keras and Tensorflow certification training is ideal for beginner to advanced experts. This Deep Learning course is especially recommended for Software Engineers, Data Scientists, Data Analysts, and Statisticians with a deep learning interest.
  • If you are proficient in Python and want to begin your route to becoming a Data Scientist, this course is for you.
  • The course is jam-packed with algorithms based on the most recent version of TensorFlow 2.0. Keras is now integrated with TensorFlow 2.0, making it even more powerful.
  • In comparison to the previous version, writing programs in TensorFlow is a lot easier.
  • TensorFlow 2.0 is presently the most extensively used Deep Learning library.
  • You'll get a taste of both text and picture processing in this course.
You should be able to do the following after finishing this Deep Learning Certification Course:
  • Learn about TensorFlow 2.0 and get some practice with it.
  • By creating Single Layer and Multi-Layer Perceptrons in Tensorflow 2.0, you will have a better understanding of the concepts.
  • Learn how the CNN algorithm works and then use the trained model to categorize the image.
  • Understand concepts such as Transfer Learning, RCNN, Fast RCNN, RoI Pooling, Faster RCNN, and Mask RCNN.
  • Learn about the Boltzmann machine and autoencoders.
  • In TensorFlow 2.0, implement a Generative Adversarial Network.
  • Work on the Emotion and Gender Detection project and improve your OpenCV and CNN skills.
In your LMS, you'll find the following self-paced modules as pre-requisites to help you brush up on these skills are Machine Learning Concepts Basic Python Programming Knowledge
The following are some of the advantages of pursuing a deep learning certification:
  • Learn new Deep Learning concepts - This certification test will help you improve your deep learning skills.
  • Recognized by the TensorFlow community - Once you've been certified, you must be acknowledged by the TensorFlow community.
  • Demonstrate your abilities - The TensorFlow certification demonstrates that you are well-versed in the subject, as well as a demonstration of your abilities.
This course will provide you with a thorough understanding of Deep Learning techniques, allowing you to flourish in your future position as a Deep Learning Engineer. You'll receive Deep Learning certification, confirming your new abilities and on-the-job experience. Regression, classification, time series modeling, and clustering are all concepts to get familiar with.

How do beginners learn AI and Deep Learning?

Deep Learning is a hot topic right now. However, before diving into certification training, newbies should familiarise themselves with the fundamentals of machine learning. Begin by taking one of our free courses, which will provide you with a solid foundation in this fascinating and dynamic field: Data Science with Python, Math Refresher, and Statistics Essentials for Data Science

is this Deep Learning course suitable for beginners?

Yes, the Machine Learning course training in Bangalore is appropriate for freshers. This course will teach you about real-time data, designing algorithms utilizing supervised and unsupervised learning, regression, classification, and time series modeling.

What skills will you learn with our AI and Deep Learning Course?

  • Master supervised and unsupervised learning, recommendation engines, and time series modeling techniques.
  • Through a hands-on approach that involves working on four large end-to-end projects and 25+ hands-on exercises, you'll gain practical mastery of the ideas, methods, and applications of machine learning.
  • Acquire a full understanding of deep learning's statistical and heuristic features.
  • Support vector machines, kernel SVM, naive Bayes, decision tree classifier, random forest classifier, logistic regression, K-means clustering, and more models may all be implemented in Python.
  • Decode numerous accuracy measures and validate deep learning models. Another set of optimization procedures, including boosting and bagging approaches, can be used to improve the final models.
  • Understand theoretical notions and how they relate to deep learning's practical components.

What are the tools covered in AI and deep Learning Course?

  • Neural Designer.
  • DeepLearningKit.
  • Microsoft Cognitive Toolkit.
  • Keras.
  • ConvNetJS.
  • Torch.

What are the career opportunities available in Ai and Deep Learning Fields?

  • ML engineer.
  • Software engineer/developer.
  • Data Scientist.
  • AI engineer.
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Overview of AI and Deep Learning Training in Pune

ACTE Offers AI and Deep learning in Pune are two concepts that are frequently used interchangeably to represent intelligent software. Artificial neural networks, algorithms inspired by the human brain, learn from enormous volumes of data in deep learning, a subset of machine learning. As recent advancements in deep learning have been nothing short of a revolution, they have enabled some of the most intriguing and powerful applications in the field of Artificial Intelligence, ACTE provides you with the opportunity to master AI and Deep Learning. Begin your education with the ACTE AI and Deep Learning Classroom and Online Training Courses.


Additional Info

Interpretation of AI and Deep Learning :

The simulation of human intelligence processes by machines, particularly computer systems, is known as artificial intelligence (AI). Expert systems, natural language processing (NLP), speech recognition, and machine vision are examples of AI applications. Learning, reasoning, and self-correction are the three cognitive processes that AI programming focuses on. Processes of learning This element of AI programming is concerned with gathering data and formulating rules for turning it into useful information. Algorithms are rules that give computing equipment step-by-step instructions for completing a certain task. Processes of reasoning This part of AI programming is concerned with selecting the best solution. Deep learning is a machine learning routine that trains computers to do what comes easily to humans: learn by example. Deep learning is a key technology behind driverless cars, empowering them to recognize a stop sign or to distinguish a pedestrian from a lamppost.

Industrial AI refers to the use of artificial intelligence (AI), machine learning (ML), and related technologies to real-world use cases in the industrial and societal sectors. Maintenance & repair, operations & supply chain, quality, safety, design, and end-to-end optimization are some of the horizontal areas where these use cases can be found, with applications in a range of verticals. We've seen an increasing interest in applying Deep Learning approaches to Industrial AI challenges in recent years, ranging from employing sequence models like Long Short-Term Memory (LSTM) for anticipating equipment breakdowns to using Deep Reinforcement Learning-modal data sensors, events, photos, text, etc. It indexed throughout the location and time-limited data, highly skewed class distribution, and incidence of rare classes such as failures. The necessity for understandable conclusions, The need for consistency between distinct but "related" models, and several generations of the same model. Decision-making to optimize commercial results where the cost of a mistake could be high.

Narrow AI is being used for a variety of tasks, including interpreting video feeds from drones performing visual inspections of infrastructure such as oil pipelines, organizing personal and business calendars, responding to simple customer-service queries and coordinating with other intelligent systems to complete tasks such as booking a hotel at a convenient time and location. New applications for these learning systems appear regularly. A graphics card manufacturer, recently unveiled Maxine, an AI-based system that lets individuals to make high-quality video chats regardless of their internet connection speed. The system reduces the bandwidth. New applications for these learning systems appear regularly. An AI-based system that lets individuals to make high-quality video chats regardless of their internet connection speed. However, as much as these systems have unrealized promise, their goals for the technology can sometimes surpass reality. Self-driving automobiles are a good example of this, as they rely on AI-powered technologies like computer vision.

Which AI Services are available in the Industry?

All of the major cloud platforms – Amazon Web Services, Microsoft Azure, and Google Cloud Platform – offer GPU arrays for training and running machine-learning models, with Google also planning to make Tensor Processing Units – custom chips designed specifically for training and running machine-learning models – available to users. The big three provide all of the required infrastructure and services, including cloud-based data stores capable of storing the massive amounts of data required to train machine-learning models, data transformation services to prepare data for analysis, visualisation tools to display the results, and software that simplifies the building of machine-learning models. These cloud platforms are also making it easier to create unique machine-learning models, with Google launching Cloud AutoML, a service that automates the building of AI models. This drag-and-drop solution creates unique image-recognition models with no machine-learning experience required. Cloud-based machine-learning services are constantly evolving. Amazon currently has several AWS services aimed at making the process of training machine-learning models easier, including Amazon SageMaker Clarify, a tool that can help organisations identify biases and imbalances in training data that might lead to erroneous predictions by the trained model.For businesses that don't want to construct their own machine-learning models but instead prefer to use AI-powered on-demand services like speech, vision, and language recognition, Microsoft Azure stands best, followed by Google Cloud Platform and then Amazon Web Services. Meanwhile, IBM is attempting to provide sector-specific Advanced analytics aimed into everything from healthcare to marketing, in addition to its more broad on-demand solutions. Deep learning is an area of machine learning that deals with artificial neural networks, which are algorithms inspired by the structure and function of the brain. You may be perplexed if you are new to the topic of deep learning or if you have previous experience with neural networks. I was immediately perplexed, as were many of my colleagues and acquaintances who had studied and used neural networks.

Components of Deep Leaning With AI :

  • Processors: We have limited down the option of processor based on constraints such as socket type through motherboard selection, however the choice of CPU may be further influenced by GPU. As previously stated, the CPU is primarily responsible for data processing and communication with the GPU in Deep Learning applications. As a result, if we wish to parallelize all of that preprocessing, the number of components and threads per core is critical.
  • Memory or RAM: We may need to keep large/big datasets in memory when dealing with them. The RAM size determines how much data you can store in memory. A minimum of 16GB memory is recommended for deep learning applications (32GB is recommended). In terms of the clock, the higher it is, the better. It should ideally represent Speed — Access Time, although a minimum of 2400 MHz is recommended. Always strive to fit as much memory into a single stick as possible, as this will free up spaces for future expansion. Many folks who acquire 4*8 GB RAM instead of 2*16 GB RAM end up using all four slots and leaving no room for upgrades simply because the former is cheaper.
  • Storage: As SSDs become more affordable and faster, the price of HDDs continues to fall. It is always preferable to choose a modest SSD and a large HDD. SSDs are preferred for storing and retrieving frequently utilised data. However, HDDs should be utilised to store data that will be used in the future.
  • GPU: GPUs are the brains behind the Deep Learning Build. They determine how much performance gain you get from neural network training. Because most of the computations in Deep Learning are matrix operations, the GPU outperforms the CPU by doing the same operations in parallel. They have cores, which are small computer units that can have threads, allowing them to conduct matrix operations faster. The GPU's memory bandwidth also allows it to work with big batches of data.
  • PSU: It will give a rough estimate of power usage once the components are selected via the PCpartpicker site. It's always advisable to acquire a PSU that's big enough to manage the power (1.2 to 1.5 times the predicted power). If you plan to add more GPUs (100 W each GPU), make sure you get a PSU that can manage that as well. Because some power supplies produce noise, it's a good idea to do some research and read reviews before making a purchase. I've discovered that the EVGA G2 series appears to be a good option to explore.

Role Deep Learning Research Engineer :

Deep learning research engineers are a sort of computer scientist. They specialize in applying deep learning platforms for specific types of programming tasks related to artificial intelligence. They aim to promote programming systems that mimic brain functions. To do this, they employ neural networks, which are data structures related to the structure of the human brain. Although deep learning is deemed a subset of machine learning, it's far more complicated. The objective is for the machines that work with deep learning systems to be able to read without human direction. Deep learning research engineers may be required in developing system and program design plans and determining how to integrate machines and programs. They are accountable for developing systems that can transfer data effectively and writing intricate computer programming code to direct parts of the neural network to operate properly. They are expected to continue researching in their field to ensure that their technical knowledge is up to date, and they may additionally publish works about their research. They may particularly work on things like self-driving vehicles, facial recognition software, and robots.

Required Skills :

Deep learning research engineers write and review letters of programming code practicing a range of programming languages, so they need to be able to pay close attention to items. They also need powerful analytical skills to review systems and code to identify issues or areas for improvement. They correlate with other professionals to develop effective systems, so they need to have the capacity to work as part of a team and strong oral communication skills. They also require written communication skills to document their research and prepare reports. Expert computer programming skills, solid mathematical skills, and problem-solving skills are also needed for the work that deep learning research engineers do.

Salary Package for Deep Learning Engineers:

Mid-level Deep Learning Engineers having over eight years of work experience can expect to earn an average annual salary of Rs. 7 – 12 LPA, while senior-level professionals having 15 years and above of field experience can command salaries that range between Rs. 25 – 48 LPA and more.

Benefits of AI and Deep Learning :

  • There's no need for feature engineering.
  • Unstructured data yields the best results.
  • Data does not need to be labelled.
  • Delivering High-Quality Results with Ease.
  • Takes risks instead of Humans.
  • Helping in Repetitive Jobs.
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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(AL) & 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
Face detection system Project.

The goal of this project is to detect and locate human faces in a color image and implement a face detector in MATLAB that will detect human faces in an image.

Project 2
Digit Recognition System Project.

The aim of this project is to implement a classification algorithm to recognize handwritten digits (0- 9) and has been shown in pattern recognition.

Project 3
Drowsiness detection system Project.

Drowsiness detection is a safety technology that can prevent accidents that are caused by drivers who fell asleep while driving.

Project 4
Image caption generator Project.

Image caption generator is a task that involves computer vision and natural language processing concepts to recognize the context of an image.

Our Engaging Placement Partners

ACTE Pune offers arrangement openings as extra to each understudy/proficient who finished our study hall or internet preparing. A portion of our understudies are working in these organizations recorded underneath.
  • We are connected with top affiliations like HCL, Wipro, Dell, Accenture, Google, CTS, TCS, IBM, etc it make us gifted to place our understudies in top MNCs across the globe.
  • After realization of 70% AI and Deep Learning Training getting the hang of instructional course content, we will coordinate the gathering calls to applicants and set them up to f2f association.
  • Our getting ready has been arranged by experienced AI and Deep Learning Training instructors who are working wherever endeavors.
  • After finish of the 70% of training , the aggregate of our candidates track down another profession. We will moreover set you up for interviews with the objective that you can land your situation in the gathering.
  • Our position educational gatherings are flexible and expandable, allowing each part to profit with their involvement in us.
  • We offer assistance to meeting status and Mock tests and gatherings are coordinated.

Get Certified By AI & Deep Learning & 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.

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About Adequate AI and Deep Learning Instructor

  • Our learners give a mix of class, coach drove on the web, and E-learning choices to guarantee that up-and-comers get changed mentoring advance their suspicion to learn and change.
  • Well-furnished lab with computers to practice AI and Deep Learning Training.
  • Tutors are confirmed specialists with 9+ significant stretches of inclusion with their specific region similarly as they are as of now working with top MNCs.
  • As all tutors are customizing attempting region working specialists so they are having many live top Mncs, mentors will use these top Mncs during Mock gatherings.
  • ACTE give quality preparing and a range of abilities that will be a well known one, all through the business.
  • Learner will not simply obtain data on simulated intelligence and-profound getting the hang of preparing and advance devices, yet likewise get receptiveness to industry best practices, wellness and delicate abilities.

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 have completed my AI and Deep Learning at ACTE institute in Pune. I highly recommend, this is the best place to learn and earn knowledge. Chandra Sekhar sir is well experienced person.He taught us real time projects. His teaching skills make students to survive in industry not only as a fresher and also as a experienced candidates with minimum of 3 years experience.Thanks to ACTE and am grateful to you .


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

Looking for better Discount Price?

Call now: +91 93833 99991 and know the exciting offers available for you!
  • ACTE is the Legend in offering placement to the students. Please visit our Placed Students List on our website
  • We have strong relationship with over 700+ Top MNCs like SAP, Oracle, Amazon, HCL, Wipro, Dell, Accenture, Google, CTS, TCS, IBM etc.
  • More than 3500+ students placed in last year in India & Globally
  • ACTE conducts development sessions including mock interviews, presentation skills to prepare students to face a challenging interview situation with ease.
  • 85% percent placement record
  • Our Placement Cell support you till you get placed in better MNC
  • Please Visit Your Student Portal | Here FREE Lifetime Online Student Portal help you to access the Job Openings, Study Materials, Videos, Recorded Section & Top MNC interview Questions
    • Gives
    • 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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