Deep Learning with Python Online Course

Name: Claude Code Training in OMR
Brand: Infibee Technologies
Rating: 5 (29689 reviews)

Rated 5 out of 5

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25 hrs of E-Learning Videos

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Deep Learning with Python Course Overview

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Upcoming Deep Learning with Python Batches

21-09-2026

Mon-FriWeekdays Regular

08:00 AM & 10:00 AM Batches(Class 1Hr - 2Hrs) / Per Session

23-09-2026

Mon - FriWeekdays Regular

06:00 PM & 08:00 PM Batches(Class 1Hr - 2Hrs) / Per Session

18-09-2026

Sat-SunWeekend Batch

09:00 AM & 01:00 PM Batches(Class 2Hr - 4Hrs) / Per Session

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Deep Learning with Python Course Syllabus

Join our Deep Learning with Python Course and build practical expertise in developing intelligent applications using neural networks and modern deep learning techniques. Learn Python, NumPy, Pandas, TensorFlow, and Keras while exploring artificial neural networks, CNNs, RNNs, transfer learning, computer vision, and natural language processing. Through hands-on projects and industry-oriented training, gain the skills needed to design, train, evaluate, and deploy deep learning models for real-world applications.

Introduction to Artificial Intelligence, Machine Learning & Deep Learning
Deep Learning applications and use cases
Machine Learning vs Deep Learning
Deep Learning workflow
Types of neural networks
Deep Learning ecosystem and tools

Python fundamentals
Variables, data types, loops and functions
Object-oriented programming basics
NumPy for numerical computing
Pandas for data manipulation
Matplotlib for data visualization
Working with Jupyter Notebook

Linear algebra fundamentals
Vectors and matrices
Matrix operations
Probability concepts
Mean, variance and standard deviation
Derivatives and gradients
Introduction to optimization
Mathematical foundations of neural networks

Understanding datasets
Data collection and loading
Data cleaning
Handling missing values
Feature scaling and normalization
Encoding categorical variables
Train, validation and test datasets
Data augmentation fundamentals

Neural network architecture
Neurons and layers
Weights and biases
Activation functions
Forward propagation
Loss functions
Backpropagation
Gradient descent
Optimizers
Building ANN models with Python

Introduction to TensorFlow
Keras framework
Creating neural network models
Sequential and functional APIs
Model compilation
Training and validation
Callbacks
Saving and loading models
Model evaluation

Introduction to computer vision
CNN architecture
Convolution operation
Filters and feature maps
Pooling layers
Flattening and fully connected layers
Image classification
CNN model development using Python
Image preprocessing and augmentation

Transfer learning concepts
Pre-trained models
VGG, ResNet and MobileNet
Feature extraction
Fine-tuning
Image classification using pre-trained models
Practical computer vision applications

Introduction to sequential data
RNN architecture
Sequence processing
Vanishing and exploding gradients
LSTM networks
GRU networks
Time-series prediction
Text sequence analysis

Introduction to NLP
Text preprocessing
Tokenization
Word embeddings
Sentiment analysis
Text classification
Sequence models for NLP
Building NLP applications with Python

Training and validation strategies
Overfitting and underfitting
Regularization
Dropout
Batch normalization
Hyperparameter tuning
Performance metrics
Confusion matrix
Model optimization techniques

Introduction to Generative AI
Generative models
Autoencoders
Generative Adversarial Networks (GANs)
Introduction to Transformers
Large Language Models overview
Applications of Generative AI
Deep learning trends and industry applications

Saving and loading trained models
Model inference
Introduction to APIs
Deploying models using Flask/FastAPI
Creating simple AI applications
Cloud deployment concepts
Model monitoring and maintenance

Image Classification System
Customer Sentiment Analysis
Sales/Time-Series Forecasting
Dataset preparation and preprocessing
Model development and training
Performance evaluation
Model deployment
Project presentation and documentation

Need customized curriculum?

Build Resume & Get PlacedPlacement Support With Resume Preparation & Interview Guidance

Deep Learning with Python Hands on Projects

Gain practical experience through hands-on Deep Learning with Python Course projects designed around real-world applications. Learn to prepare datasets, build and train neural networks, evaluate model performance, and deploy intelligent solutions using Python, TensorFlow, and Keras. These projects strengthen your problem-solving skills and provide practical exposure to computer vision, NLP, and predictive analytics.

Image Classification Using CNN

Build an image classification system using Convolutional Neural Networks (CNNs) to automatically identify and categorize images. Perform image preprocessing, data augmentation, model training, validation, and performance evaluation using Python, TensorFlow, and Keras.

Customer Sentiment Analysis Using NLP

Develop a deep learning model to classify customer reviews as positive, negative, or neutral. Apply Natural Language Processing (NLP) techniques, text preprocessing, word embeddings, and LSTM networks to analyze customer feedback and generate meaningful sentiment insights.

Time-Series Sales Forecasting

Create a deep learning-based forecasting model to predict future sales using historical business data. Apply Python, Pandas, TensorFlow, and LSTM networks to preprocess time-series data, train the model, evaluate prediction accuracy, and generate forecasts to support business planning.

For Corporates

Educate your workforce with new skills to improve their performance and productivity.

Corporate Training

Customised training with customised curriculum to meet the requirements of your workforce
Diversified learning models Live online training, Self-paced videos, On-premises training, and Classroom training
Dedicated lab setup with software installation, evaluation reports of employees, and study material with video recoding
We have a diverse pool of skilled instructors from numerous industries, ensuring the best fit for your customised requirements
Track and measure the impact of training on individuals and teams with our evaluation performance report

"Leading Companies We've Served"

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Our Instructor

Name

Mr. Vimal

Experience

8+ Years

Specialized in

Deep Learning, Python, TensorFlow, Keras, Machine Learning, Neural Networks, Computer Vision, Natural Language Processing (NLP), Generative AI & AI Model Development.

More Details

Mr. Vimal, with 8+ years of industry experience, specializes in Deep Learning, Python, TensorFlow, Keras, Machine Learning, Neural Networks, Computer Vision, NLP, and Generative AI. His practical, industry-focused approach helps learners understand complex AI concepts, develop real-world applications, and build strong technical skills through hands-on projects and guided implementation.

Deep Learning with Python Course Objectives

The Deep Learning with Python Course is designed to develop practical skills in building intelligent applications using neural networks and deep learning algorithms. Learners will master Python, TensorFlow, Keras, CNNs, RNNs, LSTMs, NLP, and model deployment while working on real-world projects to strengthen their problem-solving and AI development capabilities.

You will learn Python, TensorFlow, Keras, neural networks, CNNs, RNNs, LSTMs, NLP, computer vision, model optimization, and deployment techniques through practical training.

Yes. This course covers Python and deep learning concepts progressively, making it suitable for learners with basic programming knowledge who want to build expertise in AI and deep learning.

You will work on real-world projects such as image classification using CNN, customer sentiment analysis using NLP, and time-series sales forecasting using LSTM networks.

Job Assistance Program

Our Job Assistance Programme offers you special guidance through the course curriculum and helps in your interview preparation.

Specialised Curriculum

Get on-field knowledge and skills from our expert instructors.

Assessment

Upgrade your on-field skills with our assessments and track your progress in real time.

Hands-on Project

Our hands-on project help you gain experience in real-time working.

Certification Guidance

A global certificate always helps you stand out from the crowd.

Portfolio Building

Experts guide you to maximise your profile with current industry trends that employers expect.

Placment Cell

We promote your abilities and showcase your portfolio to employers.

Deep Learning with Python Course Career Opportunity

A Deep Learning with Python Course opens the door to exciting careers in the rapidly growing AI industry. Build expertise in neural networks, computer vision, NLP, and Generative AI to pursue roles such as Deep Learning Engineer, AI Engineer, Machine Learning Engineer, Computer Vision Engineer, NLP Engineer, and Python AI Developer. Gain practical project experience and industry-ready skills to confidently advance your career in artificial intelligence.

Annual Pay Scale

Employers

Annual Salary

Hiring Companies

Placement Guidance & Interview Preparation

Infibee’s placement guidance navigates you to your desired role in top organisations, ensuring you stand out and excel in every opportunity.

Resume Enhancement: Updating and enhancing your resume to effectively highlight your abilities, experience, and accomplishments.
Mock Interviews: Practice real-life interviews with feedback to fine-tune your responses, boost confidence, and reduce anxiety.
Industry Insights: Stay informed about industry trends, company culture, and expectations to excel in interviews.
Job Portal Updation: Update or create your profile in job portals with our guidance and listing of key words for your preferred designation.

Customized Preparation: Targeted preparation for specific job roles, ensuring you are well-prepared for role-specific questions.
Interview Strategies: Comprehensive coaching on interview techniques and communication skills to ace any interview.
Confidence Building: Boosting self-assurance and equipping you with the mindset needed to excel during interviews.
Online Presence: Optimizing your online presence, including LinkedIn profiles and social media, to align with your career goals.

      
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I graduated without an IT background, but Infibee has helped me advance my career as a data scientist. Here, mentors are very helpful. With the right guidance and dedication, you can achieve your dreams. Self-study is also crucial if you want to stand out from the crowd and seize your opportunities.Companies frequently visit Infibee for placements and take some incredible talent with them.

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Deep Learning with Python Course FAQ's

Infibee Deep Learning with Python Course offers wide range of services that suits for both fresher and experienced persons via both offline and online at your suitable time slots.

You need not worry about having missed a class. Our dedicated course coordinator will help them with anything and everything related to administration. The coordinator will arrange a session for the student with trainers in place of the missed one.

Yes, of course. You can contact our team at Infibee Technologies, and we will schedule a free demo or a conference call with our mentor for you.

We provide classroom, online, and self-based study material and recorded sessions for students based on their individual preferences.

Yes, all our trainers are industry professionals with extensive experience in their respective domains. They bring hands-on practical and real-world knowledge to the training sessions.

Yes, participants typically receive access to course materials, including recorded sessions, assignments, and additional resources, even after the training concludes.

We provide placement assistance to students, including resume building, interview preparation, and job placement support for a wide range of software courses.

Yes, we offer customisation of the syllabus for both individual candidates and corporate also.

Yes, we offer corporate training solutions. Companies can contact us for customised programmes tailored to their team’s needs.

Participants need a stable internet connection and a device (computer, laptop, or tablet) with the necessary software installed. Detailed technical requirements are provided upon enrollment.

In most cases, such requests can be accommodated. Participants can reach out to our support team to discuss their preferences and explore available options.

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Deep Learning with Python Online Course