Pantech eLearning

— pantech elearning —

Deep Learning


☑️ 10+ Projects!

☑️ 4+ Core Concepts!

☑️ Industry-Based Curriculum 

☑️ 3 Months Intensive Training Program

Deep Learning sd

Course Rating


Course Duration

45 Hrs

Course Fee


Course Benefits

4+ Core Concepts

concepts are essential for understanding and analyzing the subject matter in depth.

Hands-on Projects

Tasks that involve practical, experiential learning by real-world scenarios.

Interactive Sessions

Participant share their perspectives, ask questions and learn experiences.

Community Support

Assistance, resources, and services provided by groups within a community

Downloadable Contents

These contents can be accessed offline and provide users with various forms of information


A Digital recognition of an individual's accomplishment for completion course.

Industry standard

Technical standard specifications that define the best practices

Job opportunities

Openings that individuals can pursue to secure paid work or career advancement.


Become a Successful Deep Learning Master ?

Python Concepts

DL Concepts

Nural Networks


Frame works & Tools

DL Implementation

Learning Path

Python For Deep Learning

Essential Python concepts for Deep LEarning Data types, variables, loops and functions

Deep Learning Concepts

Basic concepts: neural networks, activation functions and optimization

Neural Networks

Artificial Neural Networks(ANN), Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs)

Natural Language Processing (NLP)

Recurrent models for language modeling and text generation, Sequence-to-sequence models and machine translation

Deep Learning Frameworks and Tools

Overview of popular deep learning frameworks (TensorFlow, PyTorch) Hands-on exercises and coding examples

Project Based Learning
Hands on Learning 80%
Industry Relevant Skills
Live Projects 100%

Industry Based Learning Process

Course Curriculum

Course Curriculum (45 Hrs)​

  • Introduction to Data Science
  • Basic Python Programming
  • Python Programming – Data Science
  • Introduction to Deep Learning
  • Overview of deep learning and its applications
  • History and Evolution of Deep Learning
  • Basic concepts: neural networks, activation functions, and optimization

Artificial Neural Networks

  • Perceptrons and multi-layer perceptron’s
  • Forward propagation and backpropagation algorithms
  • Activation functions: sigmoid, ReLU, and others
  • Loss functions: mean squared error, cross-entropy, etc.

Training Deep Neural Networks

  • Data preprocessing and normalization
  • Gradient descent optimization algorithms
  • Regularization techniques: dropout, L1/L2 regularization

Convolutional Neural Networks (CNNs)

  • Introduction to CNN architecture
  • Convolutional layers, pooling layers, and padding
  • CNN architectures: LeNet, AlexNet, VGG, ResNet
  • Transfer learning and fine-tuning

Recurrent Neural Networks (RNNs)

  • Introduction to RNNs and their Applications
  • Backpropagation through time (BPTT)
  • Long Short-Term Memory (LSTM) networks
  • Gated Recurrent Units (GRUs)

Advanced Deep Learning Techniques

  • Generative Adversarial Networks (GANs)
    Autoencoders and variational autoencoders (VAEs)
  • Reinforcement learning with deep neural networks
  • Attention mechanisms and transformer models
  • Word embeddings: Word2Vec, GloVe
  • Recurrent models for language modeling and text generation
  • Sequence-to-sequence models and machine translation
  • Transformer models: BERT, GPT, and their applications
  • Overview of popular deep learning frameworks (TensorFlow, PyTorch)
  • Hands-on exercises and coding examples
  • Deployment and inference on GPUs or cloud platforms
  • Age and Gender Detection with Deep Learning for Real-Time Applications
  • BitCoin Price Prediction
  • Automatic Parking Vehicle Verification and Parking System using Number Plate Recognition
  • Person Counting System using Deep Learning
  • Vehicle Speed Estimation
  • Face Recognition
  • Automatic Multi-Class Classification of Food Ingredients using Deep Learning
  • Detection Algorithms in Deep Learning
  • Fire Detection Using Flame Detector in Deep Learning
  • Image-to-Text, Text-to-Speech Conversion
  • Social Distance Detection
  • Handwritten Recognition using Deep Features
  • Head Pose Estimation in the Wild Using Convolutional Neural Networks and Adaptive Gradient Methods
  • Driver Drowsiness and Yawn Detection
  • Drone Detection using OpenCV
  • Face Emotion Detection
  • Automatic Leaf Characteristics Detection using Neural Network
  • Face Recognition using OpenCV and Deep Learning
  • Yolo Object Detection Using OpenCV Technique
  • Face Clustering using DL
  • Covid -19 chest X-ray images detection using dl
  • Smart Glasses and sign Language Based Hand Gesture Recognition
  • Optical Character Recognition using OpenCV

Real-Time Projects

Numbers of trusT

Pantech E-Learning

0 +

Learners From Pantech

0 +
Learners from all over india

Core Techologies

Software - Electrical - Electronics -Automations

Registration Last Date



Industry-recognized Certifications

Masterclass Certificate 254

Our Learners Works At​

Assignments Submited by Community Members


Nivethida A

Its a very effective platform for the beginners, who wants to implent their real time proposals into models. Learnt a lot along with hands on training, which made the session both intresting and interactive 🔥🔥🔥

Pooja Devadiga​

Really enjoyed a lot and learnt many new things. It was an amazing experience to learn more about AI Image Processing concept. Once again, I thank you for sharing informative knowledge with us. 🔥✌👌​

Ajay Yadav

Excellent education, learning and industry oriented knowledge is shared by Pantech eLearning. Resource speakers are giving their best every day during the whole program/Internship. They deserve a lots of appreciation. A very big thanks to all the Pantech eLearning Team. 🔥🙏

Hemanth Korada

It's really helpful .. Nice interaction session of Datascience program for my carrier build and growth.. Thank you pantech for making me a part of this journey and its really awesome sessions everyday with different topics... 🙏🙏​

Why | How | What?

Frequently Asked Questions

Deep Learning is educational programs that teach individuals about the concepts, techniques, and applications of artificial intelligence (AI) and machine learning (ML). These courses cover a variety of topics, including algorithms, data analysis, natural language processing, computer vision, and robotics.

Anyone with an interest in Deep Learning Masterclass can take these courses, including students, professionals, and hobbyists. Some courses may require previous knowledge of programming or computer science, while others may be designed for beginners.

By taking a Deep Learning Masterclass, you can learn how to develop AI and ML applications, implement algorithms, analyze data, and design intelligent systems. You can also learn about the ethical and societal implications of AI, as well as how to integrate AI into various industries and fields.

The prerequisites for taking Deep Learning Masterclass  may vary depending on the course and the level of difficulty. However, some courses may require knowledge of programming languages such as Python, calculus, linear algebra, and statistics.

he length of time it takes to complete a Deep Learning Masterclassdepends on the course’s level of difficulty and the amount of time you can dedicate to the study. Some courses may take a few weeks to complete, while others may take several months.

The cost of taking a Deep Learning Masterclass varies depending on the course and the platform. Some courses are free, while others may cost several hundred or thousand dollars. Some platforms offer financial aid and scholarships to eligible students.

Yes, many courses offer certificates of completion that you can use to demonstrate your skills and knowledge to potential employers or for personal satisfaction. Some courses may also offer industry-recognized certifications.

es, many employers recognize the value of artificial intelligence courses and consider them a valuable addition to a candidate’s resume. Completing an artificial intelligence course can demonstrate your commitment to learning and developing new skills, which can help you stand out in a competitive job market.

Learn, practice, and get certified !

Give the Best Start to Your Career

Open Whatsapp Chat
Need Any Help?
Welcome to Pantech eLearning!..

How can i help you?