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Deep Learning: Recurrent Neural Networks in Python Online Course

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  • Join the Deep Learning: Recurrent Neural Networks in Python Online Training to master sequence modeling.
  • Learn core concepts like LSTM, GRU, RNN architecture, and sequence prediction using Python.
  • Gain hands-on experience through real-world projects, model training, and performance optimization.
  • Perfect for Data Scientists, ML Engineers, AI Developers, and Researchers aiming to enhance deep learning skills.
  • Choose from flexible batch options: Weekday, Weekend, or Fast-Track programs.
  • Get placement assistance, interview guidance, and certification support for career advancement.

Course Duration

55+ Hrs

Live Project

3 Project

Certification Pass

Guaranteed

Training Format

Live Online (Expert Trainers)
WatchLive Classes
Course fee at
₹16000

₹21000

12087+

Professionals Trained

10+

Batches every month

3463

Placed Students

295+

Corporate Served

What You'll Learn

Understand Recurrent Neural Networks (RNN) fundamentals with the RNN Python Online Course.

Implement deep learning models and sequence prediction using RNN Python Training.

Gain hands-on experience with real-world RNN Projects in Python.

Prepare for Recurrent Neural Networks Certification with guided labs and exercises.

Enhance career prospects through the RNN Course with Placement and practical RNN Internship opportunities.

Explore advanced techniques in the RNN Advanced Course, including LSTM, GRU, and sequence modeling.

Deep Learning: Recurrent Neural Networks in Python Course Overview

The Deep Learning: Recurrent Neural Networks in Python Online Training provides comprehensive knowledge in designing, training, and deploying RNNs using Python. This RNN Python Online Course combines theory, hands-on coding exercises, RNN Projects, and internship exposure. Participants gain skills needed for AI engineer, data scientist, and deep learning specialist roles, while preparing for the Recurrent Neural Networks Certification.

Future Trends for Deep Learning: Recurrent Neural Networks in Python Course

  • Application of RNNs in NLP, speech recognition, and time-series prediction.
  • Integration with advanced deep learning frameworks like TensorFlow and PyTorch.
  • AI-driven sequence analysis and predictive modeling.
  • Hybrid RNN models combining LSTM and GRU layers.
  • Automated hyperparameter tuning and model optimization.
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Deep Learning: Recurrent Neural Networks in Python Online Certification Training Objectives

    The Deep Learning: Recurrent Neural Networks in Python tutorial will help you learn all you need to know about Hidden Markov Models and Recurrent Neural Networks. You will first learn about an Elman-unit, which is a simple recurring unit. Following that, you will learn about feedforward neural networks and one of the most frequent applications, language modelling.
  • An artificial neural network of this kind called a recurrent neural network is often utilised in speech recognition and natural language processing.
  • Recurrent neural networks identify the sequential properties of the input and make use of patterns to forecast the following likely situation.
  • You don't need to have any prior knowledge.
  • Starting from the ground up, we will gradually add to our understanding of the topic.
  • The capacity to pick up new talents and practise them.
  • It will be helpful if you know Python.
  • Those that wish to advance their data-driven communication.
  • People are interested in learning RNNs for data science using actual datasets.
  • RNN users who desire to apply them in practical tasks.
  • Those with an aptitude for mathematics and programming.
  • These highly sought-after certification chances let you perform the following:
  • There is a serious lack of qualified individuals in the artificial intelligence industry.
  • There is a considerable need for engineers with expertise in deep learning and machine learning.
  • A growing need for qualified deep learning specialists has arisen as a result of AI's quick development.
  • Tech giants with foresight are making significant investments in expanding their AI capabilities, including Amazon, Facebook, and Google.
  • As a result, there are a tonne of work possibilities available globally for people with great learning skills.
  • The course will cover the following subjects:
  • An explanation of neural networks
  • An established neural network.
  • What function does a recurrent neural network serve?
  • A recurrent neural network is precisely what?
  • What is the operation of a recurrent neural network?
  • Implementation of the Long Short Term Memory (LSTM) use case.
  • The goal of this programme is to help you develop your deep learning abilities.
  • As a result, it broadens your deep learning skills rather than preparing you for a certain career.
  • These skills are transferable to many other contexts and will also qualify you for future study in the area.
  • You'll get the following skills:
  • Networks of artificial neurons.
  • Program setup and parts of TensorFlow.
  • Deep learning libraries.
  • Tensorflow object detection API.
  • Deep learning frameworks.
  • Keras.
  • PyTorch.
  • Types of recurrent neural networks.
    Based on 187 recent earnings, the compensation range for Deep Learning Engineers in India with less than 1 year of experience to 5 years of experience is from 3 lakhs to 22.7 lakhs, with an average yearly income of 8 lakhs.
    Training an RNN is a challenging process. If tanh or relu is used as an activation function, it cannot handle very lengthy sequences.
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Deep Learning: Recurrent Neural Networks in Python Training Benefits

The RNN Course with Placement offers practical exposure to RNN model development, sequence prediction, and deep learning workflows. Participants complete RNN Projects, gain experience through RNN Internship, and prepare for Recurrent Neural Networks Certification, making them job-ready for top AI and ML firms..

  • Designation
  • Annual Salary
    Hiring Companies
  • 8L
    Min
  • 10L
    Average
  • 20L
    Max
  • 7L
    Min
  • 10L
    Average
  • 20L
    Max
  • 4L
    Min
  • 6L
    Average
  • 15L
    Max
  • 6L
    Min
  • 9L
    Average
  • 20L
    Max

Managing UCS Domains at Scale with Cisco UCS Central (DCUCCEN v1.0) Online Course Certification Training

Our RNN Projects simulate real-world deep learning problems, including sequence prediction, text generation, and sentiment analysis. Learners gain hands-on experience through RNN Python Training and coding exercises. Completing these projects enhances employability and prepares participants for the Recurrent Neural Networks Certification.

Top Skills You Will Gain
  • Neural Architecture
  • Sequence Modeling
  • Time-Series
  • Gradient Optimization
  • Model Evaluation
  • Feature Engineering
  • Data Preprocessing
  • Hyperparameter Tuning

12+ Deep Learning: Recurrent Neural Networks in Python Tools

Online Classroom Batches Preferred

Weekdays (Mon - Fri)
03 - Nov - 2025
08:00 AM (IST)
Weekdays (Mon - Fri)
05 - Nov - 2025
08:00 AM (IST)
Weekend (Sat)
08 - Nov - 2025
11:00 AM (IST)
Weekend (Sun)
09 - Nov - 2025
11:00 AM (IST)
Can't find a batch you were looking for?
₹21000 ₹16000 10% OFF Expires in

No Interest Financing start at ₹ 5000 / month

Corporate Training

  • Customized Learning
  • Enterprise Grade Learning Management System (LMS)
  • 24x7 Support
  • Enterprise Grade Reporting

Deep Learning: Recurrent Neural Networks in Python Online Training From Learnovita ? 100% Money Back Guarantee

Deep Learning: Recurrent Neural Networks in Python Course Curriculum

Trainers Profile

Trainers are certified professionals with 13+ years of experience in their respective domains as well as they are currently working with Top MNCs. As all Trainers from Deep Learning: Recurrent Neural Networks in Python Training Online Training course are respective domain working professionals so they are having many live projects, trainers will use these projects during training sessions.

Deep Learning: Recurrent Neural Networks in Python Course Syllabus Download syllabus

  • RNN Architecture Overview
  • Sequence Data Fundamentals
  • Applications of RNN
  • Lab Setup & Environment
  • Certification Overview
  • Python Basics for AI
  • Libraries & Packages Setup
  • NumPy & Pandas Essentials
  • Lab Exercises
  • Best Practices
  • Simple RNN Layers
  • Sequence Input & Output
  • Activation Functions
  • Lab Exercises
  • Model Validation
  • LSTM Networks
  • GRU Networks
  • Bidirectional RNN
  • Lab Exercises
  • Case Studies
  • Time-Series Data Preparation
  • Text Tokenization & Embeddings
  • Normalization Techniques
  • Lab Exercises
  • Practical Scenarios
  • Loss Functions & Optimizers
  • Early Stopping & Regularization
  • Hyperparameter Tuning
  • Lab Exercises
  • Performance Metrics
  • Predictive Modeling
  • Forecasting Time-Series Data
  • Lab Exercises
  • Real-World Examples
  • Model Evaluation
  • Text Generation
  • Sentiment Analysis
  • Language Modeling
  • Lab Exercises
  • Practical Applications
  • Saving & Loading Models
  • Deployment in Python Applications
  • Lab Exercises
  • Performance Testing
  • Hybrid Models (LSTM+GRU)
  • AI-Driven Sequence Prediction
  • Advanced Framework Integrations
  • Lab Exercises
  • Industry Use Cases
(15) view More view Less
Need customized curriculum?

Industry Projects

Project 1
Sequence Prediction Project

Build RNN models to predict time-series data, analyze patterns carefully, and forecast future trends accurately.

Project 2
Text Generation Project

Generate text sequences using LSTM and GRU networks for creative, context-aware applications efficiently.

Project 3
Sentiment Analysis Project

Develop an RNN-based model for sentiment detection from textual data, ensuring accurate classification results.

Career Support

Our Hiring Partner

Exam & Certification

  • Fundamental understanding of Python programming
  • Knowledge of probability, calculus, and linear algebra
  • Knowledge of machine learning principles
  • Previous neural network experience (useful)
  • Knowledge of Keras or TensorFlow (recommended)
The certification attests to your proficiency in developing and using RNNs for applications such as AI modeling, natural language processing, and time-series forecasting. It improves your technical profile, increases your credibility, and expands your deep learning and data science career prospects.
The certification greatly improves your employability by showcasing your proficiency in deep learning and sequence modeling, which are highly appreciated in AI and tech-driven businesses.
  • Engineer for Deep Learning
  • A data scientist
  • Engineer for Machine Learning
  • Engineer for NLP
  • AI Investigator
The certification increases your competitiveness in the AI job market by assisting you in mastering in-demand RNN techniques. By making you qualified for specialized jobs, boosting your professional value, and creating prospects for higher-level positions in machine learning and artificial intelligence, it promotes career advancement.

Our Student Successful Story

checkimage Regular 1:1 Mentorship From Industry Experts checkimage Live Classes checkimage Career Support

How is the Deep Learning: Recurrent Neural Networks in Python Online Course with LearnoVita Different?

Feature

LearnoVita

Other Institutes

Affordable Fees

Competitive Pricing With Flexible Payment Options.

Higher Deep Learning: Recurrent Neural Networks in Python Online Course Fees With Limited Payment Options.

Live Class From ( Industry Expert)

Well Experienced Trainer From a Relevant Field With Practical Deep Learning: Recurrent Neural Networks in Python Online Training

Theoretical Class With Limited Practical

Updated Syllabus

Updated and Industry-relevant Deep Learning: Recurrent Neural Networks in Python Online Course Curriculum With Hands-on Learning.

Outdated Curriculum With Limited Practical Training.

Hands-on projects

Real-world Deep Learning: Recurrent Neural Networks in Python Online Course, Course Project With Live Case Studies and Collaboration With Companies.

Basic Projects With Limited Real-world Application.

Certification

Industry-recognized Deep Learning: Recurrent Neural Networks in Python Online Course, Course Certifications With Global Validity.

Basic Deep Learning: Recurrent Neural Networks in Python Online Course, Course Certifications With Limited Recognition.

Placement Support

Strong Placement Support With Tie-ups With Top Companies and Mock Interviews

Basic Placement Support

Industry Partnerships

Strong Ties With Top Tech Companies for Internships and Placements

No Partnerships, Limited Opportunities

Batch Size

Small Batch Sizes for Personalized Attention.

Large Batch Sizes With Limited Individual Focus.

Additional Features

Lifetime Access to Deep Learning: Recurrent Neural Networks in Python Online Course, Course Materials, Alumni Network, and Hackathons.

No Additional Features or Perks.

Training Support

Dedicated Mentors, 24/7 Doubt Resolution, and Personalized Guidance.

Limited Mentor Support and No After-hours Assistance.

Deep Learning: Recurrent Neural Networks in Python Training Course FAQ's

Certainly, you are welcome to join the demo session. However, due to our commitment to maintaining high-quality standards, we limit the number of participants in live sessions. Therefore, participation in a live class without enrollment is not feasible. If you're unable to attend, you can review our pre-recorded session featuring the same trainer. This will provide you with a comprehensive understanding of our class structure, instructor quality, and level of interaction.
All of our instructors are employed professionals in the industry who work for prestigious companies and have a minimum of 9 to 12 years of significant IT field experience. A great learning experience is provided by all of these knowledgeable people at LearnoVita.
  • LearnoVita is dedicated to assisting job seekers in seeking, connecting, and achieving success, while also ensuring employers are delighted with the ideal candidates.
  • Upon successful completion of a career course with LearnoVita, you may qualify for job placement assistance. We offer 100% placement assistance and maintain strong relationships with over 650 top MNCs.
  • Our Placement Cell aids students in securing interviews with major companies such as Oracle, HP, Wipro, Accenture, Google, IBM, Tech Mahindra, Amazon, CTS, TCS, Sports One, Infosys, MindTree, and MPhasis, among others.
  • LearnoVita has a legendary reputation for placing students, as evidenced by our Placed Students' List on our website. Last year alone, over 5400 students were placed in India and globally.
  • We conduct development sessions, including mock interviews and presentation skills training, to prepare students for challenging interview situations with confidence. With an 85% placement record, our Placement Cell continues to support you until you secure a position with a better MNC.
  • Please visit your student's portal for free access to job openings, study materials, videos, recorded sections, and top MNC interview questions.
LearnoVita Certification is awarded upon course completion and is recognized by all of the world's leading global corporations. LearnoVita is the exclusive authorized Oracle, Microsoft, Pearson Vue, and Deep Learning: Recurrent Neural Networks in Python Training Course I exam center, as well as an authorized partner of Deep Learning: Recurrent Neural Networks in Python Training Course. Additionally, those who want to pass the National Authorized Certificate in a specialized IT domain can get assistance from LearnoVita's technical experts.
As part of the training program, LearnoVita provides you with the most recent, pertinent, and valuable real-world projects. Every program includes several projects that rigorously assess your knowledge, abilities, and real-world experience to ensure you are fully prepared for the workforce. Your abilities will be equivalent to six months of demanding industry experience once the tasks are completed.
At LearnoVita, participants can choose from instructor-led online training, self-paced training, classroom sessions, one-to-one training, fast-track programs, customized training, and online training options. Each mode is designed to provide flexibility and convenience to learners, allowing them to select the format that best suits their needs. With a range of training options available, participants can select the mode that aligns with their learning style, schedule, and career goals to excel in the Deep Learning: Recurrent Neural Networks in Python Training Course.
LearnoVita guarantees that you won't miss any topics or modules. You have three options to catch up: we'll reschedule classes to suit your schedule within the course duration, provide access to online class presentations and recordings, or allow you to attend the missed session in another live batch.
Please don't hesitate to reach out to us at contact@learnovita.com if you have any questions or need further clarification.
To enroll in the Deep Learning: Recurrent Neural Networks in Python Training Course at LearnoVita, you can conveniently register through our website or visit any of our branches in India for direct assistance.
Yes, after you've enrolled, you will have lifetime access to the student portal's study materials, videos, and top MNC interview questions.
At LearnoVita, we prioritize individual attention for students, ensuring they can clarify doubts on complex topics and gain a richer understanding through interactions with instructors and peers. To facilitate this, we limit the size of each Deep Learning: Recurrent Neural Networks in Python Training Course Service batch to 5 or 6 members.
The average annual salary for Deep Learning: Recurrent Neural Networks in Python Training Course Professionals in India is 5 LPA to 7 LPA
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