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CoursesAdvanced Data Science and GenAI with MLOps
CID11015

Advanced Data Science and GenAI with MLOps

This comprehensive course equips learners with Python programming, NumPy, Pandas, and Matplotlib for data manipulation and visualization. Dive into machine learning, deep learning, NLP, and computer vision. Master Azure for MLOps to deploy and manage ML models. Prepare for a data science career with hands-on projects and real-world skills.

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110 null

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Programoverview

Program Overview

Explore data science and AI journey from Python basics to advanced machine learning and deep learning. Analyze data, visualize insights, and build AI models with industry-standard tools.

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Master in-demand skills for extracting insights from data and building AI models

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Learn to use popular tools and libraries such as Python and Keras

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Understand how to apply AI techniques to real-world problems and make data-driven decisions

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Open up career opportunities in data science, AI engineering, and related fields

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Eligiblility

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Why should you learn?

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Possible Job Roles

Salary Range

Course-modules

Course Modules

110 null COURSE

8 hours, 15 minutes

Statistics

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This module provides a comprehensive introduction to the field of statistics, starting with fundamental concepts and gradually progressing to more complex statistical methods. It is designed to give students a solid foundation in both descriptive and inferential statistics, including key techniques and tools for data analysis and prediction.
  • Stat gathering & describing data

  • Stat prediction, population & samples

  • Stat study types, data types

  • Descriptive Statistics with graphs, Charts, central tendency

  • Inferential Statistics with Normal Distribution, estimation

  • Inferential Statistics with Hypothesis Testing

  • Stat reference with Z-Table, T-Table

  • Stat reference with Hypothesis Testing Mean Left/Two tailed

21 hours

Data Analytics

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This module is designed to provide a comprehensive introduction to key tools and techniques used in data science and artificial intelligence (AI), with a focus on SQL, Tableau, and R programming. The module covers essential skills for data manipulation, visualization, and statistical analysis, which are foundational for anyone working in data science and AI fields.
  • SQL

  • Power BI

  • R Program

6 hours

Python For Data Science

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The "Python" module covers basic programming concepts, string manipulation, data structures, date/time operations, and file handling, suitable for non-IT students.
  • Introduction to Python Programming

  • Variables, local and global variables, loops, functions, programming exercises

  • Python Strings

  • Operators Lists, Tuples, Dictionary, Date&Time,- Files I/O Exceptions

3 hours

NUMPY (Numerical Python)

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The "NUMPY" module covers ndarray operations, universal functions, statistical functions, indexing, slicing, and advanced operations for numerical computing.
  • Ndarray Object

  • Numpy arrays-Basic Operations,Universal Functions

  • Arange, linspace, logspace Indexing and Slicing Statistical Functions Dot Products

  • Matrix Multiplication

5 hours

Pandas

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The "Pandas" module covers Series and DataFrames, focusing on creation, manipulation, and essential functionalities for efficient data analysis.
  • Series

  • DataFrames

4 hours

Data Visualisation using Mathplotlib

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The "Data Visualization with Matplotlib" module teaches core principles and techniques for creating effective visualizations, progressing to advanced charting.
  • Principles of Information Visualisation

  • Basic Charting

  • Charting Fundamentals

  • Applied Data Visualizations

5 hours

Machine Learning using sklearn

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In "Machine Learning with sklearn," explore regression, classification, and clustering using various algorithms, enhancing machine learning model building skills.
  • Regression

  • Classification

  • Clustering

4 hours

Deep Learning using TensorFlow and Keras

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Explore advanced neural network concepts, including CNNs for image processing, RNNs for sequence data, and LSTMs for long-term dependencies.
  • Introduction to Perceptron and Neural Networks (ANN)

  • CNN

  • RNN

  • LSTM

6 hours

NLP using NLTK and Spacy

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Learn NLP fundamentals, including text tokenization, word lemmatization, semantics with word vectors, stop words, and sentiment analysis.
  • NLP Introduction and Basics

  • Tokenization

  • Lemmatization

  • Semantics and word vectors

  • Stop words

  • Sentimental Analysis

5 hours

Computer Vision using cv2

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Explore image processing and computer vision essentials, including image/video manipulation, color/shape/face detection, and number plate extraction using OpenCV.
  • Image processing and Computer Vision basics

  • Loading Images and Videos

  • Color and Shape detection

  • Face detection

  • Number plate detection

3 hours

Generative AI for Data Science

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Explore Prompt Engineering techniques and integrate Generative AI into the data science life cycle for data generation and analysis.
  • Introduction to Gen AI and LLM

  • Prompt Engineering

  • Data Science life cycle using Gen AI

5 hours

Azure for Data Science with MLOPs

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Discover Azure tools for training ML models, orchestrating pipelines, deploying batch inference pipelines, and monitoring performance for efficient ML solutions.
  • Training ML models in Azure

  • Automating ML models

  • Orchestrating Pipelines

  • Deploying batch inference pipelines

  • Monitoring Performance

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Certification of Completion

Certifies completion of data science course, covering fundamentals, machine learning, data analysis, and visualization.

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Admission Process at Cokonet

The course admission process at Cokonet involves streamlined procedures ensuring efficient enrollment for prospective students.

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Our career counselor will help you identify the suitable course for you.

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Enroll in the chosen course, providing personal details and payment information

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Financing & Support

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0% Interest Loans

Access 0% interest loans (6/9/12 Months EMI) for your education, ensuring affordability while you pursue your dreams.

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Pay in Installments

Ease your financial burden with our convenient installment payment options.

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Scholarships

We believe in supporting aspiring learners by providing financial aid to help them pursue their dreams.

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Seamless assistance with our comprehensive laptop support services.