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Deep Learning with Python Course

Rated 5 out of 5

Infibee Technologies offers India’s No.1 Deep Learning with Python Training with global certification support and Placement Guidance.

Unlock your career with an industry-focused Deep Learning with Python Course with guided by 12+ years of industry experienced experts, affordable fees, mock projects, resume preparation, interview preparation, placement training, and lifetime access to recorded live-class sessions.

Join our Deep Learning with Python Training Institute and build practical AI skills to explore rewarding career opportunities and high-paying jobs with leading companies.

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25 hrs of E-Learning Videos
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Deep Learning with Python Course Overview

Infibee Technologies offers an intermediate-to-advanced Deep Learning with Python Course designed to help learners develop practical skills in artificial intelligence and neural networks. Deep Learning with Python Training combines the Python language with the idea of neural networks, machine learning, computer vision, natural language processing, and model building.

Deep learning is a method that allows computers to identify interesting patterns in big data and implement algorithms to complete tasks such as image classification, speech recognition, text classification, and prediction.

Purpose of the Deep Learning with Python Course

The purpose of this course is to provide students and professionals with practical knowledge of Python-based deep learning techniques. Enroll now to have the know-how of neural network architectures, data collection and preparation, model training, optimisation, evaluation, and deployment.

This course will help future AI professionals enhance their programming, analytical and problem-solving skills while working on hands-on projects. With the increased adoption of AI-based solutions across industries, organizations will have an increased need for skilled talent to adopt them.

Importance, Industries & Future Scope

Deep learning is used in healthcare, banking, finance, automotive, retail and e-commerce, manufacturing, telecommunication, cybersecurity, education and tech. It is also applied in medical images analysis, facial recognition, credit scoring and forecasting, recommender systems. Deep learning is also applied in all types of autopilots, speech and voice recognition, predictive maintenance and others.

The future scope of a deep learning would continue to grow as AI adoption, automation, generative AI, computer vision, and intelligent applications. Building strong Python and deep learning skills can help learners explore various AI-focused career paths.

Deep Learning with Python Course Topics Covered Applications of Deep Learning with Python Tools Used
Python Programming for AI Image Classification Python
NumPy and Pandas Object Detection NumPy
Data Preprocessing Facial Recognition Pandas
Machine Learning Fundamentals Natural Language Processing Scikit-learn
Neural Networks Speech Recognition TensorFlow
Artificial Neural Networks Recommendation Systems Keras
Convolutional Neural Networks (CNN) Medical Image Analysis PyTorch
Recurrent Neural Networks (RNN) Sentiment Analysis Jupyter Notebook
LSTM Networks Predictive Analytics Google Colab
Transfer Learning Autonomous Systems OpenCV
Model Optimization Fraud Detection Hugging Face
Model Deployment Generative AI Applications Git/GitHub

Why Choose Infibee Technologies for a Deep Learning with Python Course?

Selecting the right Deep Learning with Python Training Institute can make a significant difference in developing practical AI skills. Infibee Technologies focuses on structured learning, hands-on programming, real-world applications, and career-oriented training.

Key Highlights

  • Industry-focused curriculum
  • Experienced trainers
  • Real-time projects
  • Practical learning
  • Interview preparation
  • Placement assistance
  • Flexible learning options

Best Deep Learning with Python Training Institute – Get Certified with Infibee Technologies

Infibee Technologies is a leading Deep Learning with Python Training Institute, offering industry-focused training with an emphasis on practical programming skills, real-world applications, and career-oriented learning. Our Deep Learning with Python Course curriculum has been designed to take the learners through fundamental concepts of Python as well as advanced concepts of deep learning through in-class implementation.

Our Deep Learning with Python Training introduces learners to essential AI technologies such as neural networks, CNNs, RNNs, NLP, computer vision, model optimization, and deployment in this deep learning with python course.

Trainer Experience

Infibee Technologies provides training through experienced instructors, including professionals with 12+ years of industry experience. Their practical exposure helps learners understand how Python and deep learning concepts are applied to real-world technology problems.

Hands-on Exposure to Projects

This is a major pillar of the learning process as the learners go through the projects and data handling with projects involving image recognition, prediction, classification, NLP, computer vision, and other aspects of AI.

Affordable Course Fees

This course has affordable course fees options for students, graduates, job seekers, and working professionals.

Teaching Methodology

This training is a combination of instructor-led classroom training, live demonstrations, coding sessions, assignments, live projects, doubt clearance, mock interviews, and interview preparation. This approach helps learners progressively move from fundamental Python concepts to advanced deep learning implementations.

Infibee Technologies has also stated that it has successfully placed 500+ students in leading MNCs and top software companies through its career and placement support initiatives.

Certification Provided

Infibee Technologies provides a course completion certificate to learners who successfully complete the Deep Learning with Python Course, helping them demonstrate their practical training and project-based learning experience.

Modes of Training at Infibee Technologies

  • Classroom Training
  • Online Training
  • Corporate Training
  • Weekend Training
  • Self-Paced Training

Global Certifications Available for Deep Learning with Python Training

S.No. Certification Code Approx. Cost in INR* Certification Expiry
1 TensorFlow Developer Certificate Certification availability should be verified currently Verify current validity
2 AWS Certified Machine Learning – Specialty ₹24,000–₹28,000 3 years
3 Google Professional Machine Learning Engineer ₹16,000–₹18,000 2 years
4 Microsoft Azure AI Engineer Associate – AI-102 ₹12,000–₹15,000 1 year
5 IBM AI Engineering Professional Certificate Subscription-based No fixed exam expiry
6 NVIDIA-Certified Associate / Professional AI Credentials Varies by credential Depends on certification

Who Can Join Deep Learning with Python Training?

  • Graduates and postgraduate students interested in AI
  • Python developers who want to enter machine learning
  • Data science and data analytics professionals
  • Software developers interested in AI applications
  • Students with basic Python knowledge
  • Aspiring AI and deep learning professionals

Career Opportunities in Deep Learning with Python

Career Role Key Responsibilities
Deep Learning Engineer Develop and optimize deep learning models
Machine Learning Engineer Build and deploy machine learning solutions
AI Engineer Develop AI-powered applications
Python AI Developer Create AI applications using Python
Computer Vision Engineer Develop image and video processing solutions
NLP Engineer Build natural language processing applications
Data Scientist Analyze data and develop predictive models
AI Research Assistant Support AI research and experimentation
Neural Network Engineer Design and train neural network architectures
ML Model Developer Develop, evaluate, and improve ML models
Generative AI Developer Build applications using generative AI technologies
AI Solutions Developer Implement AI solutions for business requirements

Who’s Hiring Advanced Deep Learning with Python Professionals?

  • Google
  • Microsoft
  • Amazon
  • Cognizant
  • NVIDIA

Can I Study for a Deep Learning with Python Course in Other Locations?

Yes! Infibee Technologies offers Deep Learning with Python Training across major cities, along with online learning options for students and professionals across India.

With expert trainers, practical learning, certification support, and placement assistance, Infibee Technologies provides Deep Learning with Python Online Training for learners across India.

How to Register for the Deep Learning with Python Course at Infibee Technologies?

Step 1: Register for a Free Demo

Visit the Infibee Technologies website and submit the inquiry form. Participate in a free demo session to understand the curriculum, training methodology, and practical learning approach.

Step 2: Select Your Training Mode

Choose between classroom, online, weekend, or corporate training. Confirm your preferred batch timing and complete the enrollment process.

Step 3: Start Your Deep Learning with Python Journey

Begin learning with experienced instructors, practice Python and deep learning concepts, work on real-world projects, and prepare for relevant certifications and career opportunities.

Enroll Today: Unlock Your Deep Learning with Python Training Potential!

Start your Deep Learning with Python Training journey with Infibee Technologies through practical projects, expert guidance, certification support, career-focused learning, and placement assistance designed for aspiring AI professionals.

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Upcoming Deep Learning with Python Batches

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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
"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.

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Employers
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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.

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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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