I had a nice experience at Creative-I-Lab. I liked the way the classes were conducted and the learning environment was comfortable. The teachers were supportive and I learned a lot during the course.
Deep Learning & Artificial Intelligence
This advanced AI training course, designed by industry experts, prepares learners for roles such as AI Engineer, Data Scientist, and NLP Engineer. The course focuses on strengthening computer vision and text processing skills, while covering key AI concepts including the OS module, NLTK environment setup, and POS tagging, helping learners build a strong foundation in artificial intelligence.
7 Lessons
CNNs, RNNs & Transformer Architectures
Beginner Level
No Prerequisites Required
Deep Learning & NLP
NLTK, OS Module & Computer Vision
Capstone Project
End-to-End AI Engineering Challenge
What you’ll learn
Understand Deep Learning Fundamentals and neural network architectures.
Implement Convolutional Neural Networks (CNNs) for computer vision tasks.
Build Sequential Models and Recurrent Neural Networks (RNNs) for time-series and sequential data.
Master Basics of NLP including NLTK environment setup, text processing, and POS tagging.
Apply Advanced Text Processing and NLP Techniques.
Harness Transformers and AI architectures for cutting-edge natural language tasks.
Complete an end-to-end practical Capstone Project.
Skills you'll gain
Neural Networks
Computer Vision (CNN)
Sequential Modeling (RNN)
Natural Language Processing (NLP)
POS Tagging
Advanced Text Processing
Transformer Architectures
Python OS Module
Tools you'll learn
Python
NLTK
OS Module
Deep Learning Frameworks
Transformers Library
Designed by industry experts, this program prepares learners for specialized technical roles by strengthening core computer vision, sequential modeling, and natural language processing techniques.
- Course Level: Beginner
- Total Duration: 42 Hours
- Total Curriculum: 7 Lessons
- Training Mode: Classroom (Offline)
- Prerequisites: There are no prerequisites for enrolling in this course, anyone interested can join!
- Target Audiences: AI and Machine Learning roles across research, engineering, product, data, consulting, and creative domains.
Curriculum
42 Hours
|
Beginner
What you’ll learn
Learn the foundational mechanics of artificial neural networks, activation functions, and gradient descent optimization.
Skills you'll gain
Neural Networks
Deep Learning Basics
What you’ll learn
Build CNN models for image processing, feature extraction, and computer vision applications.
Skills you'll gain
Computer Vision
CNN Architecture
What you’ll learn
Design RNNs and sequential models to handle time-series forecasting and sequential data structures.
Skills you'll gain
RNNs
Sequential Data Processing
What you’ll learn
Set up the NLTK environment, utilize the OS module for file handling, and perform fundamental tokenization and POS tagging.
Skills you'll gain
NLTK Setup
POS Tagging
Text Processing
What you’ll learn
Master advanced text normalization, feature extraction, and linguistic analysis techniques.
Skills you'll gain
Advanced NLP
Feature Extraction
What you’ll learn
Explore self-attention mechanisms and modern Transformer-based AI architectures.
Skills you'll gain
Transformers
Attention Mechanisms
What you’ll learn
Apply computer vision, deep learning, and NLP concepts to solve a comprehensive real-world AI challenge.
Skills you'll gain
End-to-End AI Engineering
Model Deployment
Success Stories That Inspire
See how our students transformed their skills, built strong portfolios, and launched successful creative careers.
I joined Creative-I-Lab to improve my skills and I am happy with my decision. The classes are easy to understand and the trainer explains the topics with good examples. I also liked that the batches are small.
Sachin Ghule
I really liked learning at Creative-I-Lab. The teachers are friendly and explain everything in a simple way. The classes are easy to understand and the overall experience was good.
