Make your own LLM Powered
Application & Create Agentic AI
Applications
Become a Job-Ready Engineer in the field of Generative AI
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8 Month training program
Designed for freshers and
career professionals.
Weekend Live classes
Comprehensive curriculum
and hands on learning
Experienced faculty
Mock interview,
and assignments
Industry oriented
capstone project
Certificate from DataSpoof
Resume building and
LinkedIn Profile optimization
Complete Course Curriculum
- What is Python
- Identifiers and Keywords in Python
- Data Types & Type casting
- Basic Operation and Operator in Python
- Operators in Python
- Indentation, Statements and Comment
- Data Structures in Python — Array, String, Lists, Tuples, Set and Dictionaries
- Conditional statements in Python
- Loops in Python
- Function in Python
- Lambda functions
- Classes and OOPs concept
- Regular expression
- File handling
- Exception handling
- Command line Arguments
- Handling Date and Time
- Introduction to Data Science
- Data Science Lifecycle
- Types of Data
- Checking the quality of data
- Exploratory data analysis
- Feature Engineering
- Tabular Data Preprocessing
Page 2 - Image Processing using OpenCV
- Audio Data Preprocessing
- Introduction to NLP
- What is NLP?
- Typical NLP Tasks
- Understanding text data
- Text preprocessing in Python
- Extracting Features from Text
- Bag-of-Words
- TF-IDF Similarity score
- Cosine similarity
- Sentiment analysis
- Question Generation
- Named entity recognition
- Custom Named entity recognition
- NumPy
- Pandas
- Matplotlib, Seaborn, Plotly and Dask
- Introduction
- Real Life Applications of Deep Learning
- Difference between Machine learning and deep learning
- Challenges of Deep learning
- Architecture of Deep learning projects
- Various frameworks in deep learning
Deep learning with TensorFlow
- Introduction to TensorFlow
Artificial Neural network
- Introduction
- Backpropagation
- Weight and Bias
- Activation function
- Deep Neural Networks
- Implementation
Convolution Neural Network
- Introduction
- Mathematics behind CNN
- Famous CNN Architectures
- Transfer Learning
- Implementation
Recurrent Neural Network
- Introduction
- Application of RNN
- Problems with RNN
- Introduction to Long short-term memory
- Implementation
- Introduction to GRU
- Implementation
- Introduction to Seq2seq
- Implementation
- Introduction to encoder and decoder
- Implementation
- Introduction to transformer and BERT
- Implementation
Autoencoder
- Introduction
- Architecture explanation
- Application of autoencoder
- Implementation
Generative Adversarial Network
- Introduction
- Generator
- Discriminator
- Implementation
- Introduction
- Neural style transfer
- Neural machine translation
- Hybrid learning
- Algorithm in Hybrid learning along with their implementations
- Deep learning algorithm for time series forecasting
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