Essential Big Data and AI Skills

Essential Big Data and AI Skills, available at $19.99, has an average rating of 3.5, with 80 lectures, 3 quizzes, based on 4 reviews, and has 9 subscribers.

You will learn about Gain a solid foundation in Big Data concepts and technologies Learn fundamental principles of distributed storage and processing with Hadoop Master the MapReduce model concept Learn how Machine Learning and AI can extract valuable insights from data Explore key Deep Learning concepts and their applications Become well-versed in working with diverse data types at scale Learn best practices for data modeling in relational and NoSQL databases Discover effective ways to structure and organize data for different database systems Develop proficiency with common data analysis tools and queries Prepare for a career in high-demand Big Data and AI fields Understand how leading companies leverage data and AI for strategic advantage Achieve practical skills to transition or advance your career in fast-growing areas Obtain knowledge transferable across industries seeking data-driven transformation This course is ideal for individuals who are People looking to start a career working with big data, analytics, machine learning or artificial intelligence technologies or Professionals in other fields looking to transition to data-driven roles or Recent graduates seeking to supplement their degree with in-demand technical skills or Employees wanting to gain foundational knowledge to contribute more strategically at their company or IT professionals looking to expand into high-growth big data and machine learning domains or Analysts and data scientists wanting to strengthen their conceptual foundations or Managers who make decisions based on data and want a better technical understanding or Undergraduate students exploring whether to pursue data-related study or work or Lifelong learners seeking exposure to emerging technologies shaping our world It is particularly useful for People looking to start a career working with big data, analytics, machine learning or artificial intelligence technologies or Professionals in other fields looking to transition to data-driven roles or Recent graduates seeking to supplement their degree with in-demand technical skills or Employees wanting to gain foundational knowledge to contribute more strategically at their company or IT professionals looking to expand into high-growth big data and machine learning domains or Analysts and data scientists wanting to strengthen their conceptual foundations or Managers who make decisions based on data and want a better technical understanding or Undergraduate students exploring whether to pursue data-related study or work or Lifelong learners seeking exposure to emerging technologies shaping our world.

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Summary

Title: Essential Big Data and AI Skills

Price: $19.99

Average Rating: 3.5

Number of Lectures: 80

Number of Quizzes: 3

Number of Published Lectures: 66

Number of Published Quizzes: 2

Number of Curriculum Items: 83

Number of Published Curriculum Objects: 68

Number of Practice Tests: 2

Number of Published Practice Tests: 2

Original Price: $199.99

Quality Status: approved

Status: Live

What You Will Learn

Gain a solid foundation in Big Data concepts and technologies

Learn fundamental principles of distributed storage and processing with Hadoop

Master the MapReduce model concept

Learn how Machine Learning and AI can extract valuable insights from data

Explore key Deep Learning concepts and their applications

Become well-versed in working with diverse data types at scale

Learn best practices for data modeling in relational and NoSQL databases

Discover effective ways to structure and organize data for different database systems

Develop proficiency with common data analysis tools and queries

Prepare for a career in high-demand Big Data and AI fields

Understand how leading companies leverage data and AI for strategic advantage

Achieve practical skills to transition or advance your career in fast-growing areas

Obtain knowledge transferable across industries seeking data-driven transformation

Who Should Attend

People looking to start a career working with big data, analytics, machine learning or artificial intelligence technologies

Professionals in other fields looking to transition to data-driven roles

Recent graduates seeking to supplement their degree with in-demand technical skills

Employees wanting to gain foundational knowledge to contribute more strategically at their company

IT professionals looking to expand into high-growth big data and machine learning domains

Analysts and data scientists wanting to strengthen their conceptual foundations

Managers who make decisions based on data and want a better technical understanding

Undergraduate students exploring whether to pursue data-related study or work

Lifelong learners seeking exposure to emerging technologies shaping our world

Target Audiences

People looking to start a career working with big data, analytics, machine learning or artificial intelligence technologies

Professionals in other fields looking to transition to data-driven roles

Recent graduates seeking to supplement their degree with in-demand technical skills

Employees wanting to gain foundational knowledge to contribute more strategically at their company

IT professionals looking to expand into high-growth big data and machine learning domains

Analysts and data scientists wanting to strengthen their conceptual foundations

Managers who make decisions based on data and want a better technical understanding

Undergraduate students exploring whether to pursue data-related study or work

Lifelong learners seeking exposure to emerging technologies shaping our world

Master the in-demand skills of the Big Data ecosystem and position yourself for a high-paying career. In this comprehensive course, you will gain a solid foundation in fundamental Big Data concepts and technologies that are crucial for every modern organization. Big Data skills are among the most sought-after in today’s IT industry, with professionals earning salaries upwards of $100,000 per year according to Indeed. The job market remains red hot for those who understand how to leverage massive databases and complex datasets. By learning relational and NoSQL database systems, distributed file systems, data warehousing techniques, and frameworks like Hadoop, you’ll be able to tackle big data challenges at enterprise scale.

This course is ideal for software engineers, database administrators, systems analysts and other IT professionals looking to stay relevant in the digital age. The concepts covered lay the foundation for anyone working with data-driven technologies. Whether you are a software developer curious about big data patterns, a systems analyst assessing modern data solutions, or a database administrator exploring distributed database processing, this course will give you a well-rounded introduction. While targeted towards technical roles, the concepts are broken down accessibly enough for professionals of all experience levels. Those new to big data technologies may find some additional independent research beneficial to fully grasp more advanced topics.

Boost your career prospects by showcasing your new big data skills prominently online. Updating your LinkedIn profile and resume to reflect the technology stacks and concepts learned in this course will help connect you with recruiters from top firms. As the demand for big data talent surges, having a profile that demonstrates your mastery of critical terms, tools, and use cases will significantly increase your chances of landing interviews. From leading technology companies to innovative startups pushing the boundaries of what’s possible with data, recruiters are urgently seeking professionals with backgrounds like yours made even more valuable through a deepened understanding of the big data ecosystem.

Through this hands-on masterclass, you will gain a robust overview of the diverse big data ecosystem and the database systems at its foundation. Rather than focusing narrowly on technical software details, the course equips you with a robust understanding of fundamental big data concepts including relational and non-relational database models, large-scale data handling methods, and distributed systems architecture. You will explore real-world examples of how leading companies leverage different technologies to solve problems at massive scales. Whether planning your next IT project or assessing your current employer’s data landscape, the broad yet practical education provided will help ensure you make an informed choice aligned with your organizational needs, budget, and desired business outcomes.

Over the course of your learning journey, you will be immersed in the expansive world of big data and gain transferable skills that unlock career opportunities. Whether you’re a software developer interested in data-driven development, an entry-level data engineer looking to strengthen your foundations, an analyst exploring new techniques, or a quality assurance specialist ensuring data integrity, this program provides a robust starting point. You will be introduced to essential database technologies, data processing methodologies, and more without overwhelming technical specifics. By the end, you will have a solid conceptual understanding empowering you to confidently continue your education and in your big data career path.

In this introductory big data course, you will:

Learn fundamental concepts of relational and NoSQL databases

Gain an overview of distributed storage systems

Explore frameworks for processing large-scale datasets

Receive best practices for data modeling and system design

The course also provides a high-level introduction to:

Key artificial intelligence techniques like machine learning

How organizations apply AI algorithms to gain insights

By completing the course, you’ll have essential knowledge of database choices and data architecture approaches. You’ll also understand this exciting field and how companies use data and AI.

Whether you’re just starting out or want to enter the field, this course offers a solid foundation to advance your skills and career in high-growth big data and AI. Join today to kickstart your learning journey!

Course Curriculum

Chapter 1: Big Data Big Picture

Lecture 1: Intro and Objectives

Lecture 2: Warm-up

Lecture 3: Evolution Of Data

Lecture 4: Big Data Complex

Lecture 5: Big Data Analytics: Unlocking Insights and Opportunities

Chapter 2: Big Data Overview

Lecture 1: Overview

Lecture 2: Big Data Timeline

Lecture 3: Engineering View on Big Data

Lecture 4: Information Evolution

Lecture 5: Big Data Sources

Lecture 6: Information Trend

Lecture 7: Big Data History

Chapter 3: DB-SQL

Lecture 1: Intro and Objectives

Lecture 2: Warm-up and Notions

Lecture 3: DB Parts I

Lecture 4: DB Parts II

Lecture 5: DBMS Types I

Lecture 6: DBMS Core

Lecture 7: DBMS Data Access

Lecture 8: DBMS Recap

Lecture 9: Database Development, Applications and the Future of Data Management

Chapter 4: Big Data Core

Lecture 1: Objectives

Lecture 2: Definitions and Concept

Lecture 3: Data Sources

Lecture 4: Possible Data Problem

Lecture 5: Map Reduce Overview

Lecture 6: Hadoop Overview

Lecture 7: Hadoop Principles

Lecture 8: Hadoop Principles II

Lecture 9: Big Data Domains

Lecture 10: Recap

Chapter 5: Artificial Intelligence

Lecture 1: Intro and Objectives

Lecture 2: AI Notion

Lecture 3: AI Concept

Lecture 4: AI Technology Landscape

Lecture 5: AI Small Language Models Toolset: Phi-3, Mitsuba 3, XTuner

Lecture 6: AI Traditional Goals

Lecture 7: AI Field

Lecture 8: AI History

Lecture 9: AI Core

Lecture 10: AI Domains and Applications

Lecture 11: AI Challenges

Chapter 6: Machine Learning

Lecture 1: Intro and Objectives

Lecture 2: Machine Learning Notion

Lecture 3: ML Concept

Lecture 4: ML Discipline

Lecture 5: ML History

Lecture 6: AI and ML Relation

Lecture 7: ML Approaches and Challenges

Lecture 8: Recap

Chapter 7: Deep Learning

Lecture 1: Intro and Objectives

Lecture 2: Deep Learning Notion

Lecture 3: Deep Learning Concept

Lecture 4: DL Discipline

Lecture 5: DL History

Lecture 6: DL Evolution

Lecture 7: Artificial Neural Networks

Lecture 8: DL Challenges

Lecture 9: DL Applications Scenarios

Chapter 8: Presentation Tips For AI and Big Data Environment

Lecture 1: KISS Principle

Lecture 2: Illustrations

Lecture 3: Language Hints I

Lecture 4: Language Hints II

Lecture 5: Language Hints III

Lecture 6: Language Hints IV

Lecture 7: Recap

Chapter 9: Final Revision

Instructors

IT Mindfulness Academy
Team of MBA, PhD Candidate, PostDoc Researcher

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1 stars: 0 votes

2 stars: 1 votes

3 stars: 1 votes

4 stars: 1 votes

5 stars: 1 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!