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Deep Learning Online Courses

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







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Have Cracked Their Dream Job in Top MNC Companies

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

  • We train students for interviews and Offer Placements in corporate companies.
  • Ideal for graduates with 0 – 3 years of experience & degrees in B. Tech, B.E and B.Sc. IT Or Any Computer Relevent.
  • You will not only gain knowledge of Deep Learning and Advance tools, but also gain exposure to Industry best practices, Aptitude & SoftSkills.
  • Experienced Trainers and Lab Facility.
  • AI Engineering Professional Certificate Guidance Support with Exam Dumps.
  • For Corporate, we act as one stop recruiting partner.We provide right skilled candidates who are productive right from day one.
  • Resume & Interviews Preparation Support.
  • Concepts: Data Science, Python, Python Basic 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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About Deep Learning Online Training Course

ACTE Online Training courses are designed and led by industry experts with more than a decade of experience in data science and deep learning. Freshers and professionals at various stages of their career are acquiring Deep Learning skills by enrolling for expert-led online courses. The courses follow an experiential methodology and are delivered through videos, demos, case studies, and online instructor-led webinars. ACTE provides best-in-the-industry hands-on training makes you job ready from day one.


The adaptation of Deep Learning applications has seen a rise in fields like bioinformatics, drug, toxicology and medical images, speech or image recognition, mobile advertising, financial fraud detection, and more. DL professionals work with lower to higher layers of raw input and derive meaningful insights. This highly rewarding job has captured the attention of data and machine learning enthusiasts.

Most Job Oriented Deep Learning Online Topics Covered
  • Data Preprocessing, Regression Classification Machine Learning Algorithms
  • Artificial Neural Networks Deep Neural Networks TensorFlow
  • RNNs and CNNs Representation & Generative Learning Reinforcement Learning
Deep Learning is very useful for career.AI is a sound career choice for a while now and as the adoption of AI in various verticals continues to grow, the demand for trained professionals to do the jobs created by this growth is also skyrocketing. ... Therefore, if you are an AI enthusiast then be optimistic and prepare for a great career in AI.
Deep Learning , have great scope, Scope is high Basically, Machine learning is itself a type of artificial intelligence that allows software applications to become more accurate in predicting outcomes without being explicitly programmed. Here is an overview of Big Data, Machine Learning, Deep Learning, Artificial Intelligence, Data Science, and the Internet of Things.
Even as a fresher, you can get a job in Deep Learning domain.AI is a sound career choice for a while now and as the adoption of AI in various verticals continues to grow, the demand for trained professionals to do the jobs created by this growth is also skyrocketing. ... Therefore, if you are an AI enthusiast then be optimistic and prepare for a great career in AI.
We are happy and proud to say that we have strong relationship with over 700+ small, mid-sized and MNCs. Many of these companies have openings for Deep Learning . Moreover, we have a very active placement cell that provides 100% placement assistance to our students. The cell also contributes by training students in mock interviews and discussions even after the course completion.
Artificial intelligence is a tool, and like many tools, its danger is fully dependent on humans and the ways that they use it. Think about a hammer. It can be used for wonderful things, like building a home, but it can also be used to hurt someone else. Unlike a hammer, however, which can only be used by one person at a time with relatively little impact, AI can be created by a single person and spread around, which can multiply its power for good or evil. One way that artificial intelligence can be dangerous is when it is used to create autonomous weapons. Currently, almost every large nation is spending a lot of resources on the creation of autonomous weapons that can be used in upcoming conflicts.
  • Starting out in deep learning is not as difficult as people might make you believe. There are a few elementary basics that you should cover before diving into deep learning. Deep learning requires knowledge of the following topics:
  • Mathematics: You should be comfortable with probability, derivatives, linear algebra and a few other basic topics. Khan Academy offers a decent course covering almost all the above topics here.
  • Statistics: The basics of statistics are required for going forward with any machine learning problem. Understanding the concepts of statistics are essential because most of the deep learning concepts are derived from assimilating the concepts of statistics. You can check the online courses available here.
  • Tool: A decent level of coding skills are required for implementing deep learning into real life problems. Coursera’s, Introduction to Data Science in Python is a decent course to start off with Python as a tool.
  • Machine Learning: Machine learning is the base for deep learning. One can not start learning deep learning without understanding the concepts of machine learning. You could go through Intro to Machine Learning or Andrew Ng’s course Machine Learning for a theoretical base.
You can use any languages for artificial intelligence, there is no such language in which you can't implement Artificial Intelligence or Machine Learning. Some common languages are: C (programming language) ... (Mostly used) Python (programming language).
Our course ware is designed to give a hands-on approach to the students in 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.
It's definitely worth it! AI and ML are perhaps the two most talked about buzzwords today. It's not just a good idea to study these things; it's a GREAT IDEA. ... There are lots of jobs available for people who have knowledge and skills related to developing AI.
Basically, it takes between 365 days (1 year) to 1,825 days (5 years) to learn artificial intelligence (assuming you put in 4 – 0.5 learning hours a day). And how fast you learn also affects how long it takes you to be an expert. Do the course — Practical Deep Learning for Coders — Part 1. This takes about 4–6 weeks of effort. This course has a session on running the code on cloud.

Top reasons to consider a career in Deep Learning ?

  • Bright career.
  • AI is versatile.
  • Skill of the century.
  • Ingests huge amounts of data.
  • Improved disaster management.
  • Benefit of the society.
  • AI improvises user experience.

Deep Learning Biggest Strengths

No Need for Feature Engineering

  • Deep learning is largely responsible for today’s growth in the use of AI. The technology has given computers extraordinary powers, such as the ability to recognize speech almost as good as a human being, a skill too tricky to code by hand.
  • Deep learning has also transformed computer vision and dramatically improved machine translation. It is now being used to guide and enhance all sorts of key processes in medicine, finance, marketing—and beyond.
  • Feature engineering is the process of extracting features from raw data to better describe the underlying problem. It is a fundamental job in machine learning as it improves model accuracy. The process can sometimes require domain knowledge about a given problem.
  • To better understand feature engineering, consider the following example.
  • In the real estate business, the location of a house has a significant impact on the selling price. Suppose the location is given as the latitude and the longitude. Alone these two numbers are not of any use but put together they represent a location. The act of combining the latitude and the longitude to make one feature is feature engineering.
  • One of deep learning’s main advantages over other machine learning algorithms is its capacity to execute feature engineering on it own. A deep learning algorithm will scan the data to search for features that correlate and combine them to enable faster learning without being explicitly told to do so.
  • This ability means that data scientists can sometimes save months of work. Besides, the neural networks that a deep learning algorithm is made of can uncover new, more complex features that human can miss.

Best Results with Unstructured Data

  • According to research from Gartner, up to 80% of a company’s data is unstructured because most of it exists in different formats such as texts, pictures, pdf files and more. Unstructured data is hard to analyze for most machine learning algorithms, which means it’s also going unutilized. That is where deep learning can help.
  • Deep learning algorithms can be trained using different data formats, and still derive insights that are relevant to the purpose of its training. For example, a deep learning algorithm can uncover any existing relations between pictures, social media chatter, industry analysis, weather forecast and more to predict future stock prices of a given company.

No Need for Labeling of Data

  • Getting good-quality training data is one of the biggest problems in machine learning because data labeling can be a tedious and expensive job.
  • Sometimes, the data labeling process is simple but time-consuming. For example, labeling photos “dog” or “muffin” is an easy task, but an algorithm needs thousands of pictures to tell the difference. Other times, data labeling may require the judgments of highly skilled industry experts, and that is why, for some industries, getting high-quality training data can be very expensive.

Let’s look at the example of Microsoft’s project InnerEye, a tool that uses computer vision to analyze radiological images. To make correct, autonomous decisions, the algorithm requires thousands of well-annotated images where different physical anomalies of the human body are clearly labeled. Such work needs to be done by a radiologist with experience and a trained eye. According to Glassdoor, an average base salary for a radiologist is $290.000 a year, which puts the hourly rate just short of $200. Given that around 4-5 images can be analyzed per hours, proper labeling of all images will be expensive.

  • With deep learning, the need for well-labeled data is made obsolete as deep learning algorithms excel at learning without guidelines. Other forms of machine learning are not nearly as successful with this type of learning. In the example above, a deep learning algorithm would be able to detect physical anomalies of the human body, even at earlier stages than human doctors.

Efficient at Delivering High-quality Results

  • Humans need rest and fuel. They get tired or hungry and make careless mistakes. That is not the case for neural networks. Once trained correctly, a deep learning brain can perform thousands of repetitive, routine tasks within a shorter period of time than it would take a human being.
  • The quality of its work never diminishes, unless the training data includes raw data that does not represent the problem you are trying to solve.
  • Deep learning algorithms are applied to customer data in CRM systems, social media and other online data to better segment clients, predict churn and detect fraud. The financial industry is relying more and more on deep learning to deliver stock price predictions and execute trades at the right time. In the healthcare industry deep learning networks are exploring the possibility of repurposing known and tested drugs for use against new diseases to shorten the time before the drugs are made available to the general public.
  • Some of the job profiles for certified DL professionals are:

    • Data Scientist
    • DL Analyst
    • DL Associate
    • Deep Learning R&D Engineer
    • Deep Learning Software Engineer 
    • Deep Learning Analyst/Consultant

    Governmental institutions are also turning to deep learning for help to get real-time insights into metric like food production and energy infrastructure by analyzing satellite imagery.

  • The list can go on, but one thing is clear: given the use cases and enthusiasm for deep learning, we can expect large investments to be made to further perfect this technology, and more and more of the current challenges to be solved in the future.
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Key Features

ACTE offers 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 Deep Learning Online Training Course
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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Need customized curriculum?

Hands-on Real Time Deep Learning Projects

Project 1
Retail Project

This project is use to store and analyse the online information acquired from various Stores, online Website and Social media domains.

Project 2
Bookings Project

This Project is use to prediction of Railway tickets getting confirmed.

Our Top Hiring Partner for Placements

ACTE offers placement opportunities as add-on to every student / professional who completed our classroom or online training. Some of our students are working in these companies listed below.
  • We are associated with top organizations like HCL, Wipro, Dell, Accenture, Google, CTS, TCS, IBM etc. It make us capable to place our students in top MNCs across the globe
  • We have separate student’s portals for placement, here you will get all the interview schedules and we notify you through Emails.
  • After completion of 70% Deep Learning training course content, we will arrange the interview calls to students & prepare them to F2F interaction
  • Deep Learning Trainers assist students in developing their resume matching the current industry needs
  • We have a dedicated Placement support team wing that assist students in securing placement according to their requirements
  • We will schedule Mock Exams and Mock Interviews to find out the GAP in Candidate Knowledge

Get Certified By Oracle & 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 Experienced Deep Learning Trainer

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

Deep Learning Course FAQs

Looking for better Discount Price?

Call now: +9193833 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 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 Deep Learning Course At ACTE?

  • Deep Learning Course in ACTE is designed & conducted by Deep Learning experts with 10+ years of experience in the 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 Deep Learning batch to 5 or 6 members
Our courseware is designed to give a hands-on approach to the students in 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 93833 99991 / 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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      Job Opportunities in Deep learning

      More Than 35% of Individuals Prefer Deep learning. Deep learning is One of the Most Popular and in-demand Technology in the Tech World.

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