Certified Deep learning with Python Training Course

Learn from Global Experts - Apache HADOOP, HDFS, Scoop, Map Reduce, YARN, Hive, Impala, & PIG

Deep learning is a subset of machine learning that utilizes neural networks with three or more layers. These networks aim to imitate the human brain's functioning by learning from vast amounts of data. While a single-layer neural network can make rough predictions, additional hidden layers enhance accuracy and optimization. Deep learning powers various AI applications, automating tasks and improving analytical capabilities. It underlies common products like digital assistants, voice-enabled TV remotes, and fraud detection, as well as emerging technologies such as self-driving cars.

15+ Years

of Educational Excellence

Ranked #1

by Working Professional

24 Months

Program Duration

100% Campus

With Weekend class

Course Overview

Deep learning courses offer comprehensive training on the concepts, techniques, and applications of deep neural networks, a subfield of machine learning that focuses on modeling complex patterns and relationships in data using artificial neural networks with multiple hidden layers. These courses are designed to provide learners with a deep understanding of deep learning algorithms, frameworks, and practical implementation.

Syllabus

A future-proof syllabus meticulously designed by industry experts and educationalists, comprising videos, texts, industry projects, live sessions, and assignments, is a comprehensive learning plan that will help you develop the required skill set and knowledge to secure a job that assures career growth.

Syllabus

Best-in-cltass content by leading faculty and industry leaders in the form of videos, cases, and projects.

  • Introduction to neural networks and their building blocks
  • Activation functions, loss functions, and optimization algorithms
  • Backpropagation algorithm and gradient descent
  • Regularization techniques and dropout
  • Feedforward neural networks (multilayer perceptron)
  • Convolutional neural networks (CNN) for image analysis
  • Recurrent neural networks (RNN) for sequential data
  • Long Short-Term Memory (LSTM) and Gated Recurrent Units (GRU)
  • Autoencoders and generative adversarial networks (GANs)
  • Introduction to popular deep learning frameworks such as TensorFlow, Keras, and PyTorch.
  • Hands-on experience with building and training deep learning models using these frameworks.
  • Understanding the advantages and trade-offs of different frameworks.

 

  • Transfer learning and fine-tuning pre-trained models
  • Hyperparameter tuning and model optimization
  • Object detection and image segmentation
  • Natural language processing (NLP) with deep learning
  • Reinforcement learning and deep Q-networks (DQN)
  • Applying deep learning techniques to real-world problems
  • Image classification, object recognition, and localization tasks
  • Text generation, sentiment analysis, and language translation
  • Developing and evaluating deep learning models for specific applications
  • Model deployment and integration into production systems
  • Addressing biases and fairness in deep learning models.
  • Privacy and security implications.
  • Responsible data collection and usage.
  • Transparency and interpretability in deep learning.
  • Freshers, 
  • Engineers,
  • Domain Experts, 
  • Software & IT Professionals, 
  • Marketing & Sales Professionals
  • Anyone interested in learning Big Data HADOOP, willing to make a career in Big Data and to score better in certification exams.
  • Working with HDFS                                               
  • Batch Processing using MapReduce                   
  • Data Analysis using Pig
  • Querying Big Data using Hive & HBase
  • Real-time Data Processing with Spark
  • Workflow Scheduling using Oozie
  • U.G Degree with minimum 50% or equivalent passing marks
  • No coding experience is required

 

  • Hadoop Developer,   
  • Hadoop Architect,
  • Hadoop Admin,             
  • Senior Hadoop Developer,
  • MIS Reporting Executive
  • Data Scientist &
  • Big Data Analyst

Programming Tools & Languages Covered

About the Program

Cutting-Edge Technology: Deep learning is at the forefront of AI advancements, enabling breakthroughs in computer vision, natural language processing, and other complex tasks. Powerful Applications: It's behind innovations in image and speech recognition, autonomous vehicles, medical diagnostics, and more.

Course Completion Certificate

Complete the Deep learning with Python course successfully to receive this honorable course completed certificate from Pathpilots. This certificate, recognized by top organizations – MNCs, will be awarded to students who have scored at least 60% and above on the test and completed the assigned project work.

Syllabus

Best-in-cltass content by leading faculty and industry leaders in the form of videos, cases, and projects.

Far far away, behind the word mountains, far from the countries Vokalia and Consonantia, there live the blind texts. Separated they live in Bookmarksgrove right at the coast
Far far away, behind the word mountains, far from the countries Vokalia and Consonantia, there live the blind texts. Separated they live in Bookmarksgrove right at the coast
Far far away, behind the word mountains, far from the countries Vokalia and Consonantia, there live the blind texts. Separated they live in Bookmarksgrove right at the coast
Far far away, behind the word mountains, far from the countries Vokalia and Consonantia, there live the blind texts. Separated they live in Bookmarksgrove right at the coast

Admission Process

Getting admitted to one of Pathpilots courses is a four-step, simple process. Let's take a walk-through:

Step 1

Fill out the application form by answering tour basic details.

Step 2

Selection Process

Attend a short test with questions about reasoning, aptitude, and the course basics.

Answer 10 Questions 

If you score 50% and above, you are eligible to enroll for the course

Step 3

Shortlisting – Reserving Seats

Pathpilots will shortlist students based on their profile and test scores. The selected candidates will receive admission letters and can block their seats by remitting an advance amount of INR……………….. (Amount to be decided by Client)

Step 4

Selection Process

Balance fee to be remitted within the next ten days or before the course commencing date.

Top Companies that Hire Our Students

Trusted by market leaders across the globe, our students play an active role in contributing to the development of the community as a whole at

Personalised Industry Session

90-minute sessions over the weekend by leading industry experts

Career Mentorship Sessions

90-minute sessions over the weekend by leading industry experts

Interview Preparation

90-minute sessions over the weekend by leading industry experts

Course Fees

This tutorial will help you learn quickly and thoroughly. Lorem ipsum, or lipsum as it sometimes known, is dummy text used in laying out print, graphic or web designs.

Rs 15000

For Enterprises

For Students - Learners

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Why Choose PathPilot

Grow Your Skill, Define Your Bright Future

By continuously expanding your expertise, you pave the way for a promising future defined by your evolving skill set.

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Classes offer video content for comprehensive learning and understanding.

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Join online classes led by expert instructors for quality education.

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