Deep Learning With Python Course With Job Support | Updated 2025
Home » BI & Data Warehousing courses online » Deep Learning With Python Course

Deep Learning With Python Course

Rated #1 Recognized as the No.1 Institute for Deep Learning With Python Course

Accelerate your career with the Deep Learning with Python Course. Master the advanced techniques of deep learning using Python, and gain expertise in deploying neural networks for applications.

This Deep Learning with Python Training is designed for professionals and enthusiasts looking to specialize in AI and machine learning. Learn how to work with powerful libraries like TensorFlow, Keras, and PyTorch, and gain the skills to solve complex problems using deep learning models.

  • Access affordable, expert-led deep learning training with full support.
  • Master deep learning with Python to advance your career in AI and machine learning.
  • Gain hands-on experience with real-world deep learning projects and applications.
  • Join 10,000+ professionals who completed the Deep Learning with Python Training Course.
  • Unlock career opportunities with top organizations seeking AI and deep learning professionals.
  • Enroll in Deep Learning with Python Certification Course and enhance your expertise in AI and ML

Job Assistance

1,200+ Enrolled

In collaboration with

80 Hrs.

Duration

Online/Offline

Format

LMS

Life Time Access

10k+ Placed Students Download Curriculum Interview Questions
Quality Training With Affordable Fee

⭐ Fees Starts From

INR 38,000
INR 18,500
Get Training Quote for Free

      Our Hiring Partners

      Boost Your Career With Our Python Deep Learning Training

      • Our Python Deep Learning training uses the Python programming language to introduce students to the fundamental concepts and techniques of deep learning.
      • This training covers basic deep learning concepts such as neural networks, activation functions, loss functions, and optimization, along with advanced topics like CNNs, RNNs, GANs, and transfer learning.
      • Students in our Python Deep Learning training will implement and enhance deep learning models by experimenting with real-world datasets and applications.
      • Students will learn to develop, train, and assess deep learning models for applications such as speech and image recognition, natural language processing, and generative models.
      • We give students an understanding and practical experience of major deep learning frameworks such as TensorFlow and Keras, enabling them to develop and implement models efficiently.
      • This training provides a strong foundation for further study or research and opens doors in both academia and industry, making it highly relevant to careers in data science, AI, and machine learning engineering.

      Your IT Career Starts Here

      550+ Students Placed Every Month!

      Get inspired by their progress in the Career Growth Report.

      Other Categories Placements
      • Non-IT to IT (Career Transition) 2371+
      • Diploma Candidates3001+
      • Non-Engineering Students (Arts & Science)3419+
      • Engineering Students3571+
      • CTC Greater than 5 LPA4542+
      • Academic Percentage Less than 60%5583+
      • Career Break / Gap Students2588+
      Top Placement Record

      Upcoming Batches For Classroom and Online

      Weekdays
      03 - Nov - 2025
      08:00 AM & 10:00 AM
      Weekdays
      05 - Nov - 2025
      08:00 AM & 10:00 AM
      Weekends
      08 - Nov - 2025
      (10:00 AM - 01:30 PM)
      Weekends
      09 - Nov - 2025
      (09:00 AM - 02:00 PM)
      Can't find a batch you were looking for?
      INR ₹
      INR ₹

      OFF Expires in

      BOOK A FREE DEMO CLASS

      What’s included ?

      Convenient learning format

      📊 Free Aptitude and Technical Skills Training

      • Learn basic maths and logical thinking to solve problems easily.
      • Understand simple coding and technical concepts step by step.
      • Get ready for exams and interviews with regular practice.
      Dedicated career services

      🛠️ Hands-On Projects

      • Work on real-time projects to apply what you learn.
      • Build mini apps and tools daily to enhance your coding skills.
      • Gain practical experience just like in real jobs.
      Learn from the best

      🧠 AI Powered Self Interview Practice Portal

      • Practice interview questions with instant AI feedback.
      • Improve your answers by speaking and reviewing them.
      • Build confidence with real-time mock interview sessions.
      Learn from the best

      🎯 Interview Preparation For Freshers

      • Practice company-based interview questions.
      • Take online assessment tests to crack interviews
      • Practice confidently with real-world interview and project-based questions.
      Learn from the best

      🧪 LMS Online Learning Platform

      • Explore expert trainer videos and documents to boost your learning.
      • Study anytime with on-demand videos and detailed documents.
      • Quickly find topics with organized learning materials.

      Curriculum

      Syllabus of Deep Learning With Python course
      Module 1: Introduction to Deep Learning
      • Overview of Deep Learning and its applications
      • Key concepts in machine learning vs. deep learning
      • Introduction to neural networks
      Module 2: Python for Deep Learning
      • Python programming basics and data structures
      • Libraries for deep learning: NumPy, Pandas, Matplotlib
      • Introduction to Jupyter Notebooks
      Module 3: Neural Networks
      • Understanding perceptrons and multi-layer perceptrons
      • Activation functions: sigmoid, tanh, ReLU
      • Forward and backward propagation
      • Cost functions and optimization techniques
      Module 4: Deep Learning Frameworks
      • Introduction to TensorFlow
      • Introduction to Keras
      • Comparison of TensorFlow, Keras, and PyTorch
      Module 5: Convolutional Neural Networks (CNNs)
      • Concepts of convolution, pooling, and padding
      • Building CNNs with Keras/TensorFlow
      • Case study: Image classification with CNNs
      Module 6: Recurrent Neural Networks (RNNs)
      • Understanding sequences and time-series data
      • RNN architectures: Vanilla RNN, LSTM, GRU
      • Building RNNs for text and speech applications
      Module 7: Advanced Deep Learning Techniques
      • Transfer learning and pre-trained models
      • Generative Adversarial Networks (GANs)
      • Autoencoders and anomaly detection
      Module 8: Natural Language Processing (NLP) with Deep Learning
      • Text preprocessing and tokenization
      • Word embeddings
      • Building NLP models for sentiment analysis and text generation
      Module 9: Model Training and Optimization
      • Hyperparameter tuning
      • Techniques to prevent overfitting
      • Model evaluation metrics and cross-validation
      Module 10: Deployment of Deep Learning Models
      • Saving and loading models
      • Model deployment using Flask and REST APIs
      • Introduction to cloud services for deep learning
      Show More
      Show Less

      Course Objectives

      TensorFlow and Keras are used in our Python Deep Learning course to present core ideas and valuable skills in deep learning. It prepares students for careers in data science and artificial intelligence by covering neural networks, CNNs, RNNs, and GANs. Students gain the ability to design, train, and deploy models for a variety of applications.
      • In-demand Skills
      • Career Advancement
      • Framework Proficiency
      • Problem-solving Abilities
      • Community Support
      • Practical Experience
      • Neural Network Design
      • Data Preprocessing
      • Deployment
      • Model Evaluation
      • TensorFlow and Keras Proficiency
      • Transfer Learning
      Due to its complexity and the requirement for a firm grasp of mathematical concepts such as calculus and linear algebra, Python Deep Learning will be difficult. However, learners can successfully understand and apply deep learning principles to real-world problems with commitment, practice, and guidance from high-quality courses or resources.
      • Proficiency in Python
      • Basic Data Handling
      • Machine Learning Fundamentals
      • Knowledge of probability distributions and statistical measures
      Yes, deep learning in Python is an IT skill. The process entails using deep learning frameworks such as TensorFlow and Keras in conjunction with Python programming to create, train, and implement neural network models for a range of data science, AI, and machine learning applications.
      Gaining knowledge of Python Deep Learning will give you in-demand expertise in data science and AI. It gives you the ability to use Python and frameworks like TensorFlow to design, train, and implement neural network models, which opens doors to a variety of career options and worthwhile projects.

      What types of real-world assignments do students do during the course?

      • Image Classification
      • Sentiment Analysis
      • Time Series Forecasting
      • Speech Recognition
      • Natural Language Processing

      List the Python Deep learning tools used.

      • Matplotlib
      • Keras
      • Pandas
      • TensorFlow
      • PyTorch
      • Scikit-learn

      Are Python Deep learning Trends that will Lead the Tech Industry in future?

      Yes, a trend influencing the direction of the tech sector is Python Deep Learning. Knowledge of Python Deep Learning is becoming more and more valuable due to advances in AI, autonomous systems, and data-driven decision-making. This is spurring innovation in a variety of industries, including healthcare, finance, and autonomous vehicles.

      What about career advancement after the Python Deep learning course?

      Career advancement opportunities are abundant after the completion of a Python Deep Learning course. Graduates can work as deep learning experts, machine learning engineers, researchers in artificial intelligence, or data scientists. They can work in a variety of industries, contributing to cutting-edge projects and quickly advancing their careers thanks to the growing demand for AI expertise.
      Show More

      An Detailed Overview of Deep Learning Using Python

      Deep Learning Using Python offers a thorough exploration of neural networks and deep learning methods, harnessing the capabilities of Python and frameworks like TensorFlow and PyTorch. Participants delve into core concepts such as neural network architectures and optimization algorithms, progressing to advanced topics, including convolutional and recurrent neural networks, generative adversarial networks, and transfer learning. By working on hands-on projects and exercises, students gain skills in creating, training, and using deep learning models for tasks such as recognizing images and understanding language. This prepares them for jobs in the ever-changing field of artificial intelligence.

       

      Additional Info

      Unlocking the Power: Python Frameworks Driving Deep Learning Innovations

      • Keras: Python-based Keras is an API for high-level neural networks that facilitates quick experimentation and prototyping. It offers an easy-to-use interface for Microsoft Cognitive Toolkit, Theano, and TensorFlow.
      • PyTorch: PyTorch is a tool developed by Facebook's AI Research lab. Its dynamic computational graph feature makes it particularly useful for deep learning research and rapid prototyping.
      • Caffe: Berkeley AI Research (BAIR) developed Caffe, a deep learning framework known for its expressive architecture and efficient implementation. It is particularly effective for image classification tasks.
      • MXNet: With its scalability and efficiency, MXNet is an open-source deep learning framework that is particularly well-suited for distributed computing and mobile platforms.
      • Theano: Deep learning model implementation is the main use case for Theano, a Python numerical computation library. It offers instruments to define, enhance, and assess mathematical expressions.
      • Chainer: Preferred Networks created the deep learning framework Chainer, which is intended to facilitate the intuitive and flexible development of neural networks. Its "define-by-run" methodology enables the dynamic construction of neural networks at runtime.

      Empower Your Future: Essential Benefits of Deep Learning Using Python Training

      • Industry Demand: The growing demand for skilled professionals necessitates deep learning using Python training due to the increasing applications of deep learning across industries. This trend is driven by advancements in technology and the need for data-driven insights.
      • Innovation: People who receive python based deep learning training are better able to innovate and create state-of-the-art solutions in fields like autonomous systems, natural language processing, and image recognition.
      • Competitive Advantage: Acquiring proficiency in Python deep learning offers individuals a favorable edge in the labor market and facilitates access to lucrative vocations in data science, machine learning, and artificial intelligence.
      • Flexibility: When combined with deep learning frameworks such as TensorFlow and PyTorch, Python's programming language flexibility makes neural network model development both highly flexible and highly effective.
      • Real-world Applications: By utilizing potent neural network algorithms, deep learning training with Python empowers people to take on real-world challenges, such as autonomous driving and healthcare diagnostics.
      • Scalability: Deep learning using Python training offers the scalability needed to handle big datasets and intricate models, which is crucial for addressing contemporary data challenges and emerging technological advancements.
      • Future-proofing: Investing in deep learning using Python training guarantees that people stay relevant and adaptive in the quickly evolving technological landscape as deep learning continues to advance and revolutionize industries.

      Career opportunities for professionals skilled in deep learning using Python

      • Data Scientist: Make use of deep learning techniques to mine complex datasets for insights, creating predictive models, and using data to solve business problems.
      • Machine Learning Engineer: You can create and apply deep learning and machine learning models in various ways, such as recommending products, recognizing images, and understanding language.
      • AI Researcher: You'll join our team, leading new discoveries in artificial intelligence. Together, we'll advance deep learning, developing better algorithms and methods to enhance AI intelligence.
      • Computer Vision Engineer: Create computer vision systems with deep learning methods to analyze and interpret visual data for use in robotics, autonomous vehicles, and medical imaging.
      • Natural Language Processing (NLP) Specialist: Utilize deep learning techniques for tasks like sentiment analysis, machine translation, and chatbot development to process, analyze, and comprehend human language.
      • Deep Learning Consultant: Provide knowledgeable guidance on deep learning project strategy, execution, and optimization to companies looking to use deep learning technologies.
      • AI Product Manager: Oversee the creation and implementation of AI-powered goods and services, working with cross-functional teams to establish the roadmap, user experience, and product vision.
      • Research Scientist: Research in academic or corporate labs with the goal of pushing deep learning's state-of-the-art; publish findings, attend conferences, and participate in open-source initiatives.

      Several of the Popular Python-Based Deep Learning Tools

      • TensorFlow: TensorFlow, an open-source deep learning framework from Google, is widely used for developing and training complex neural networks. It offers robust support for large-scale machine learning models across various platforms.
      • PyTorch: Created by Facebook, PyTorch is renowned for its dynamic computation graph, allowing more flexible model development. It’s widely adopted in both research and production settings for deep learning applications.
      • Keras: Keras is a user-friendly, high-level neural networks API written in Python. It can operate on top of TensorFlow, CNTK, or Theano, making it suitable for both beginners and advanced practitioners globally and efficiently.
      • Theano: Theano is a foundational deep learning library that enables efficient computation of complex mathematical expressions. It has been particularly valuable in deep learning research as one of the pioneering tools in the field.
      • MXNet: MXNet is a highly scalable deep learning framework designed for both performance and flexibility. It supports multiple programming languages and is often used in distributed and cloud-based machine learning environments.
      • Caffe: Caffe is a deep learning framework known for its speed, modularity, and expressive architecture. It is widely used in computer vision projects and has a strong, active community of developers and contributors.
      • Chainer: Chainer offers a flexible, intuitive approach to building deep learning models, particularly with its define-by-run methodology. This makes it especially suitable for researchers working on experimental neural networks.
      • Fastai: Fastai is a deep learning library built on top of PyTorch, designed to simplify the process of training neural networks. It integrates modern best practices, making it accessible to beginners while remaining powerful for experts.
      Show More
      Need customized curriculum?

      Acquire Real-World Python Deep learning Project Experience

      Project 1
      Image Generation

      In this project, students create a GAN that learns from an image dataset to produce realistic images, such as new faces, artwork, or variations of preexisting images.

      Project 2
      Speech Recognition

      Create a model using audio data to translate spoken language into text, enabling voice assistants, transcription services, and voice-activated devices.Image Generation

      Secure Python Deep Learning Placement with Our Expert Guidance

      • Python Deep Learning placement is the process of finding job opportunities in fields that require knowledge of deep learning methods applied to the Python programming language.
      • Our placements demonstrate the versatility of deep learning skills as they span a wide range of roles, including AI researcher, computer vision engineer, machine learning engineer, and data scientist.
      • Our Python Deep Learning placement program helps participants discover their interests, strengths, and career goals in the deep learning field by providing career guidance and mentoring.
      • Our placement program offers valuable industry exposure and networking opportunities through internship placements with top data science, artificial intelligence, and machine learning companies.
      • With exceptional placement opportunities at well-known companies like Intel, Amazon, LinkedIn, Uber, Facebook, Spotify, IBM, and many more, we ensure bright futures for our candidates.
      • To ensure that participants are well-prepared for job interviews in the field of deep learning and are successful in the recruitment process, these programs frequently include resume workshops and mock interview sessions.

      Get Industry Recognised Python Deep Learning Certification

      Become certified in Python Deep Learning and demonstrate your proficiency in creating and implementing neural network models in Python. With the fundamental knowledge of TensorFlow, Keras, and PyTorch that this certification offers, you'll be able to succeed in positions like data scientist, machine learning engineer, or AI researcher. Acknowledge your expertise in one of the tech industry's most sought-after domains and confidently advance your career.

      • Validation of Skills
      • Career Advancement
      • Industry Recognition
      • Access to Opportunities
      Yes, earning a Python Deep Learning certification greatly improves your chances of finding work. Demonstrating to prospective employers your proficiency in building and executing neural network models with Python enhances your chances of getting hired in data science, artificial intelligence, and machine learning by demonstrating your expertise in a highly sought-after field.
      Learn the fundamentals of Python programming first in order to get ready for a certification exam in Python Deep Learning. Next, learn about neural network model implementation, TensorFlow and PyTorch frameworks, and deep learning concepts. To strengthen your comprehension and abilities, make use of online resources, classes, and practice tests.
      Yes, a variety of businesses and academic institutions offer different kinds of Python Deep Learning certifications. These certifications can be modified in focus, depth, and prerequisites to suit the needs of people with different skill levels and career goals.
      • Data Scientist
      • Machine Learning Engineer
      • AI Researcher
      • Computer Vision Engineer
      • Natural Language Processing (NLP) Engineer

      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

      Learn Best Practices from Our Python Deep Learning Trainers

      • Our Python deep learning training provides a comprehensive educational journey, covering everything from basic concepts to advanced techniques for a well-rounded learning experience.
      • Our trainers possess in-depth knowledge of Python and popular deep learning frameworks like TensorFlow, PyTorch, and Keras, offering valuable insights into the latest technologies.
      • With industry experience from leading tech companies such as Google, Facebook, Amazon, Microsoft, IBM, and NVIDIA, our trainers provide practical, real-world perspectives on deep learning applications.
      • Our trainers use a variety of instructional methods, including hands-on coding exercises, project-based learning, lectures, and demonstrations, to engage and educate students effectively.
      • We foster an inclusive and interactive learning environment where students are encouraged to participate actively, ask questions, and receive timely support from our trainers.
      • Throughout the course, our Python Deep Learning trainers act as mentors, offering personalized guidance, constructive feedback, and motivation to help students achieve their goals and tackle any challenges.
      • Our Python deep learning trainers stay updated with the latest advancements in the field, ensuring the curriculum reflects current trends and provides students with relevant, up-to-date knowledge.

      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 .
      Get Training Quote for Free

            Career Support

            Placement Assistance

            Exclusive access to ACTE Job portal

            Mock Interview Preparation

            1 on 1 Career Mentoring Sessions

            Career Oriented Sessions

            Resume & LinkedIn Profile Building

            We Offer High-Quality Training at The Lowest Prices.

            Affordable, Quality Training for Freshers to Launch IT Careers & Land Top Placements.

            What Makes ACTE Training Different?

            Feature

            ACTE Technologies

            Other Institutes

            Affordable Fees

            Competitive Pricing With Flexible Payment Options.

            Higher Fees With Limited Payment Options.

            Industry Experts

            Well Experienced Trainer From a Relevant Field With Practical Training

            Theoretical Class With Limited Practical

            Updated Syllabus

            Updated and Industry-relevant Course Curriculum With Hands-on Learning.

            Outdated Curriculum With Limited Practical Training.

            Hands-on projects

            Real-world Projects With Live Case Studies and Collaboration With Companies.

            Basic Projects With Limited Real-world Application.

            Certification

            Industry-recognized Certifications With Global Validity.

            Basic 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.

            LMS Features

            Lifetime Access Course video Materials in LMS, Online Interview Practice, upload resumes in Placement Portal.

            No LMS Features or Perks.

            Training Support

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

            Limited Mentor Support and No After-hours Assistance.

            Deep Learning With Python Training FAQs

            Searching for a better deal with a discount

            Inquire at +91-7669 100 251 for potential deals to secure a better price for your Deep Learning With Python training.
            • ACTE is renowned for its outstanding career assistance, boasting a stellar reputation for helping students secure lucrative job opportunities.
            • By establishing strong partnerships with over 700 multinational corporations worldwide, including industry giants like SAP, Oracle, Amazon, and Accenture, ACTE ensures access to diverse employment avenues.
            • Last year, ACTE successfully placed over 3500 students across India and globally, reflecting its commitment to facilitating fruitful career transitions.
            • ACTE conducts comprehensive development sessions, such as mock interviews and presentation skills workshops, to prepare students for rigorous interview processes.
            • With an impressive placement rate of 85%, ACTE ensures students are well-prepared to embark on their professional journeys with confidence. You can verify placement records by accessing the Placed Student list on the website.
            • ACTE's Placement Cell offers continuous support until students secure placements in top-tier MNCs, ensuring ongoing assistance throughout their job search journey.
            • Students benefit from the comprehensive Student Portal, which provides a wealth of resources, including job openings, study materials, videos, recorded sessions, and top MNC interview questions, to support their professional growth.
            Yes, it is advantageous to hold an ACTE certification in Python deep learning. It gives you a competitive edge in the job market by strengthening your abilities, advancing your prospects for employment, and providing validation of your expertise that is acknowledged by the industry.
            Yes, there are lots of opportunities for practical training in the program. To guarantee that you obtain practical experience, you will participate in interactive labs, real-world projects, and practical exercises. This method aids in strengthening your comprehension and gets you ready for practical Deep Learning with Python applications.
            At ACTE, our instructors are experienced professionals proficient in both the subject matter and industry insights. They are dedicated educators, providing personalized attention, high-quality teaching, and actionable guidance to empower students for success in their professional endeavors.
            If you happen to miss a class, ACTE provides access to recorded sessions through our Student Portal. This enables you to catch up at your convenience. Additionally, you can seek clarification from peers or instructors.
            Self-paced modules, recorded lectures, live virtual classes with interactive sessions, practical assignments, and dedicated instructor support for questions are just a few of the options available for our Deep Learning With Python training.

            Why should I enroll in ACTE's Deep Learning With Python training?

            Participating in Deep Learning at ACTE The extensive curriculum, practical projects, knowledgeable teachers, flexible scheduling, industry-recognized certification, and career assistance that come with Python training. In the quickly developing field of deep learning, acquire useful skills, stay current on the newest developments, and improve your career prospects.
            Sure, before signing up for ACTE's Deep Learning With Python training, you are welcome to attend an orientation or trial class. Explore the course material, engage with the instructors, and ask any questions you may have to make sure it satisfies your learning goals.
            Yes, after passing the Deep Learning With Python training, you will receive a certificate from ACTE attesting to your proficiency and improving your standing in the workflow automation sector.
            Over the course of more than 13 years, ACTE has established a strong reputation as a reliable resource by providing excellent instruction in a range of subjects, including Deep Learning With Python.
            To ensure personalized attention and effective learning, ACTE maintains low student-teacher ratios. Classes are typically kept small to promote active discussion and individualized attention, though they can vary.
            The Deep Learning With Python training classes are typically scheduled at convenient times to accommodate students' needs. Sessions are offered on weekends or weekdays, with varying durations, ensuring flexibility to suit diverse schedules.
            Don't hesitate to contact us through our support hotline at +91 76691 00251, use the E-commerce payment system on ACTE.in, or visit any of our branches nationwide.
            Show More
             

            Trending Online Courses

            Acte Technologies WhatsApp