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Post Graduate Certificate in Machine Learning & NLP (Executive)

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Post Graduate Certificate in Machine Learning & NLP (Executive)

The Post Graduate Certificate in Machine Learning & NLP (Executive) is a specialized program designed to equip professionals with the skills and knowledge required to master the fields of machine learning and natural language processing. This course provides an in-depth understanding of advanced ML techniques and NLP algorithms, including sentiment analysis, text classification, speech recognition, and more.

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Tags: Transformers NLP Machinelearning promptengineering

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Requirements

  • bachelor’s degree, Programming Skills, Mathematics and Statistical Knowledge, Professional Experience, Familiarity with Machine Learning and NLP Tools, Critical Thinking and Problem-Solving Abilities, Interest in AI and Language Processing

Description

 

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Post Graduate Certificate in Machine Learning & NLP (Executive)
Overview
Become an NLP course pro with 15+ Industry Projects and Case Studies & 360 career support
Duration 8 months
Total Fee ₹1,50,000
Mode of learning Online
Difficulty level Beginner
Official Website Go to Our Course
Credential Certificate
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Post Graduate Certificate in Machine Learning & NLP (Executive)
Highlights
Discover More ▶
  • Designed for Working Professionals
  • No Cost EMI Options available
  • Career Mentorship Sessions (1:1)
  • Exclusive Job opportunities Portal
  • AI Powered Profile Builder
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Post Graduate Certificate in Machine Learning & NLP (Executive)
Course Details
Working Pros Welcome for NLP training
  • Generative AI Models, Transformers, ChatGPT, Prompt Engineering 250+ Hours of Learning
IIIT-B ML & NLP certified course
  • Hassle-free, No Cost EMI Options Available
  • 5+ Projects, Learn by Doing
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Post Graduate Certificate in Machine Learning & NLP (Executive)
Curriculum
Course 1: Pre-Program Preparatory Content ▼
  • ✓ Introduction to Python
  • ✓ Python for Data Science
  • ✓ Data Analysis Using SQL
  • ✓ Advanced SQL & Best Practices
  • ✓ Data Analysis in Excel
  • ✓ Analytics Problem Solving
Course 2: Statistics and EDA ▼
  • ✓ Exploratory Data Analysis
  • ✓ Cloud Essentials: Intro to Git and Github
  • ✓ Inferential Statistics
  • ✓ Hypothesis Testing
  • ✓ Lending Club Case Study
Course 3: Machine Learning I ▼
  • ✓ Linear Regression
  • ✓ Linear Regression assignment
  • ✓ Logistic Regression
  • ✓ Naive Bayes
  • ✓ Model Selection
Course 4: Machine Learning II ▼
  • ✓ Advanced Regression
  • ✓ Advanced Regression assignment
  • ✓ Support Vector Machine (Optional)
  • ✓ Support Vector Machine (Optional)
  • ✓ Tree Models
  • ✓ Model Selection - Practical Considerations
  • ✓ Boosting
  • ✓ Unsupervised learning: Clustering
Course 5: Natural Language Processing ▼
  • ✓ Lexical Processing
  • ✓ Syntactic Processing
  • ✓ Syntactic Processing -Assignment
  • ✓ Case Study: Classifying customer complaint tickets
  • ✓ Semantic Processing
Course 6: Future Developments in Generative AI ▼
  • ✓ Mitigating risks in AI: Responsible AI
  • ✓ RLHF as a Product to train your own LLM
  • ✓ Multimodal Learning: Audio, Image, Text, Heatmap among others within a LLM
Course 7: Create PixxelCraft AI ▼
  • ✓ Understand how images are stored and manipulated digitally and work on image processing tasks
  • ✓ Understand the process by which artificial neural networks and their variants such as convolutional neural networks handle image analysis
  • ✓ Understand and implement legacy image generation models such as variational autoencoders and generative adversarial networks
  • ✓ Understand the components of diffusion models and the process by which images are generated and work on building a stable diffusion pipeline component-by-component
Course 8: Create ShrewdNews AI ▼
  • ✓ Understand prompting for code generation and generate code for data science tasks in a larger ML problem
  • ✓ Automate ML workflows using language generation models including data preprocessing and machine learning modelling
  • ✓ Use vector embeddings to solve a real-world use-case problem based on semantic similarity
  • ✓ Fine-tune language generation models for a particular problem statement and evaluate the model
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Post Graduate Certificate in Machine Learning & NLP (Executive)
Entry Requirements
Eligibility Criteria ▼
  • Bachelor's Degree (4 years program) or a Masters Degree in the relevant discipline with at least 55% marks. Minimum of 2 years of work experience

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