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Deep Learning and Neural Networks using Python

Name: Deep Learning and Neural Networks using Python
Rating: 0 (0 reviews)

Accelerate your Career

Learn deep learning and neural networks with Python. Build models using TensorFlow and PyTorch for image recognition, NLP, and AI applications.

Buy this Course @

₹1,499

4 Modules

with Certifications

5:20 Hours

of Recorded Content

0 Ratings

by 0 Learners

English

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Paid Course

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Name

Email ID

Phone Number

1500 enrolled in this course

Course Specifications

Sections

Lessons

135

Capacity

Unlimited

Duration

5:20 Hours

Students

950

Access Duration

90 Days

Created Date

2 Jun 2026

Updated Date

3 Jun 2026

About Courses Certificate Benefits Requirements Testimony Bonuses FAQs

Deep Learning and Neural Networks using Python Course
Overview

This Explorer-level course provides a practical introduction to deep learning and neural network architectures using Python. Learners will begin by understanding the fundamentals of deep learning and designing their first neural network models. The curriculum progresses into convolutional neural networks (CNNs) for image classification and real-world applications such as leaf disease detection and COVID-19 prediction. Participants will also explore object detection techniques using YOLO and OpenCV, along with traffic sign recognition and driver drowsiness detection systems. Through hands-on projects, learners will develop the skills required to build intelligent systems capable of analyzing visual data and making automated decisions. The course serves as a strong foundation for advanced AI, computer vision, and deep learning applications.

Key Features

Mentorship

Receive guidance and insights from industry experts

Hands-on Experience

Gain practical skills in a real-world cutting-edge projects.

Networking

Connect with professionals and peers in your field

Skill Development

Enhance your technical and soft skills

Career Advancement

Boost your resume with valuable experience

Dual Certificate

Get a certification to showcase your achievements

We are Accredited by

Our Awards & Achievements

Deep Learning and Neural Networks using Python Course Roadmap

Module 1

Module 1 — Deep Learning Fundamentals

Deep learning

Design your first Neural Network

Module 2

Module 2 — Deep Learning for Image Classification

Image classification using CNN

Leaf disease detection using deep learning

Module 3

Module 3 — Object Detection using Deep Learning

Yolo object detection using OpenCV technique

Traffic sign recognition

Module 4

Module 4 — Advanced Deep Learning Projects

Drowsiness detection system

After this Course, You will be Able to

Grasp FPGA architecture and microcontroller workings for advanced understanding
Build circuits, ranging from basic LEDs to intricate, sensor-driven projects
Master the HDL IDE, enabling proficient coding for real-world applications
Utilize breadboards and electronic components with precision for efficient circuitry
Create groundbreaking solutions by integrating sensors and motors innovatively
Explore diverse projects, from basic LEDs to complex motion-activated systems

Where Our Students Work

Our alumni are driving innovation at the world's most prestigious technology companies.

Learners Reviews

Aditi Sharma

The step by step approach from basics to real time FPGA projects made the concepts crystal clear. I especially loved the UART implementation—it gave me confidence to handle hardware communication protocols.

Rahul

This course bridges the gap between theory and practice. Programming the MAX10 FPGA board and controlling GPIOs gave me the kind of exposure that’s directly useful for internships and entry level roles in VLSI design.

Priya Nair

I came in with only basic digital electronics knowledge. The way Verilog was introduced and gradually applied to sequential circuits and FSMs was perfect. By the end, I could write and test my own HDL codes on Quartus.

Still Having Doubts?

1. Do I need prior experience?

No prior experience is required for foundational courses. Advanced modules may recommend basic knowledge in programming or electronics.

2. What if I face technical issues?

You can reach our support team at training@pantechelearning.com or call +91 89255 334 88 / +91 89255 334 89.

3. What will I learn in this course?

You’ll cover deep learning and neural networks using Python, including fundamentals of neural architectures, backpropagation, convolutional neural networks (CNNs), recurrent neural networks (RNNs), and advanced applications in image recognition, natural language processing, and AI systems. You’ll gain hands‑on experience with TensorFlow and PyTorch frameworks to build and train models.

4. How long is the course?

The program includes 4 structured modules, designed to be completed within 90 days with guided project work.

5. Will I get a certificate?

Yes, upon completion you’ll receive a verified certification from Pantech eLearning, which can be shared on LinkedIn and with employers.

6. What is the course fee?

The Deep Learning and Neural Networks using Python course is available for ₹1,499, inclusive of all modules and certification.

7. Is there any project work included?

Yes, you’ll apply your skills in guided deep learning projects, such as image classification, sentiment analysis, and AI model deployment.

8. Can I access the course materials anytime?

Absolutely. Once enrolled, you’ll have lifetime access to the course videos, notes, and resources.