Natural Language Processing Masterclass
Unlock Your True Potential by Immersing in to the World of Natural Language Processing (NLP) to leverage its power in real-world applications
*Based on feedback received from 200+ participants
- Equip your skills to leverage NLP in chatbots, machine translation & image captioning
- Learn by doing through interactive exercises and projects
- Real-world problems using advanced NLP techniques
- Explore emerging NLP trends and applications
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Build Natural Language Processing (NLP) skills to leverage its power in real-world applications
“Natural Language Processing (NLP)” training program is an immersive journey into dives deep into the exciting world of Natural Language Processing (NLP) and equips you with the practical skills to leverage its power in real-world applications
*Limited offer seats available. Claim yours nowÂ
Programme Overview
Comprehensive: Covers essential NLP concepts, advanced techniques like word embeddings, transformers, and sentiment analysis, as well as practical applications like chatbots, machine translation, and image captioning.
Hands-on Focus: Learn by doing interactive exercises and projects, building your NLP skills through practical implementation in TensorFlow 2.0.
 Expert Instruction: Benefit from the guidance of a seasoned trainer with 20+ years of experience, ensuring clear explanations and addressing your individual needs.
Accessible: Designed for professionals from diverse backgrounds, the course caters to different experience levels and geographical locations, fostering an inclusive learning environment
Who is this Programme for?
- This course is ideal for any Professionals / Business users /Researchers from any background who possess a basic understanding of programming concepts (Python preferred)
- Familiarity with linear algebra and calculus (helpful, but not mandatory)
- Enthusiasm for learning and applying NLP techniques
Programme Highlights
40+ Hours of Live and Face-to-Face Learning
ChaptGPT models to revolutionise tasks for Financial Analysis
Advanced Use cases on ChatGPT for Risk Management and Compliance
Portfolio optimization using ChatGPT- generated insights.
Building an investment recommendation system with ChatGPT
Scaling ChatGPT solutions for enterprise-level finance operations
Developing a risk identification model using ChatGPT
ChatGPT Deployment and Future Trends in Finance
Learning Outcomes
Enhance your NLP skills and gain a competitive edge.
Solid foundation in NLP fundamentals and key algorithms
Hands-on experience building NLP models with TensorFlow 2.0
Ability to solve real-world problems using advanced NLP techniques
Confidence to explore emerging NLP trends and applications
Stay ahead of the curve: Explore emerging trends and comprehensive training and unlock the potential of language data!
Join our Gen AI Business Leaders Club
Upon completion of the Gen AI for Business Leaders programme, participants can register with a one-time registration fee of INR 5,000 + GST to receive the prestigious Gen AI for Business Leaders Club .Â
- Be part of a huge network with fellow leaders and build a community of practice.
- Time to time update on the new versions/tools/researches/projects
- Complete discount of 30% for any upcoming program by Kpiladder
- Lifelong access to the recording of the webinar
- 10% group discount on the fee for referring participants (minimum group of Three)
Programme Modules
- What is NLP? Applications and use cases.
- Understanding Deep Learning concepts (neurons, layers, activation functions).
- Introduction to TensorFlow 2.0 for NLP (basic operations, tensors, data pre-processing).
- Hands-on: Building a simple text classifier using TensorFlow.
- Deep dive into FastText, ELMo, BERT, and Universal Sentence Encoder.
- Analyzing and comparing different embedding approaches.
- Choosing the right embedding for specific tasks.
- Hands-on: Experimenting with various advanced word embedding techniques.
- Deep dive into FastText, ELMo, BERT, and Universal Sentence Encoder.
- Analyzing and comparing different embedding approaches.
- Choosing the right embedding for specific tasks.
- Hands-on: Experimenting with various advanced word embedding techniques.
- Convolutional  Neural  Networks (CNNs) for text processing.
- Building a CNN-based sentiment analysis model.
- Evaluating and optimizing the model's performance.
- Hands-on: Implementing a CNN model for sentiment classification of online reviews.
- Understanding RNNs and Long Short-Term Memory (LSTM) networks.
- Applying RNNs and LSTMs for text generation and sequence processing.
- Exploring applications like language modeling and chatbot development.
- Hands-on: Generating creative text formats (poems, code, scripts) using RNNs.
- Introduction to Bi-directional LSTMs (BiLSTMs) for improved text understanding.
- Deep dive into BERT (Bidirectional Encoder Representations from Transformers) and its pre-trained models.
- Fine-tuning BERT for specific NLP tasks.
- Hands-on: Using pre-trained BERT models for sentiment analysis and question answering.
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- Leveraging pre-trained models for efficient NLP development.
- Building advanced sentiment analysis models with transformer- based architectures.
- Analyzing complex emotions and opinions in text data.
- Hands-on: Fine-tuning a transformer- based model for aspect-based sentiment analysis.
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Identifying and classifying named entities like persons, organizations, and locations.
Exploring Conditional Random Fields (CRFs) for sequence labelling tasks.
Building a NER model using recurrent neural networks.
Hands-on: Implementing a NER model for extracting key information from news articles.
Understanding machine translation principles and challenges.
Exploring transformer-based architectures for neural machine translation.
Evaluating and optimizing machine translation models for accuracy and fluency.
Hands-on: Translating text between languages using pre-trained transformer models.
- Generating captions for images based on visual content and textual information.
- Introduction to conversational AI and chatbot development frameworks.
- Building a simple chatbot using
- NLP techniques and dialogue management strategies.
- Hands-on: Developing a basic chatbot for customer service applications.
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