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Introduction to Julia Programming: Machine-Learning Models and AI Training

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 Unlock the power of Julia Programming for machine learning and AI at Multisoft Virtual Academy. Learn to create efficient models, perform complex data analysis, and develop AI solutions. Enhance your career with cutting-edge skills in this innovative programming language. Enroll now!

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Instructor-led Training Live Online Classes

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23 Nov 2024 24 06:00 PM - 09:00 PM Sat, Sun
24 Nov 2024 24 06:00 PM - 09:00 PM Sat, Sun
30 Nov 2024 24 06:00 PM - 09:00 PM Sat, Sun
01 Dec 2024 24 06:00 PM - 09:00 PM Sat, Sun

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Instructor-led Training Live Online Classes

23 Nov 2024 24 06:00 PM - 09:00 PM Sat, Sun
24 Nov 2024 24 06:00 PM - 09:00 PM Sat, Sun
30 Nov 2024 24 06:00 PM - 09:00 PM Sat, Sun
01 Dec 2024 24 06:00 PM - 09:00 PM Sat, Sun

Course Price At

$ 660

Enroll Now
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Online Self Learning Courses are designed for self-directed training, allowing participants to begin at their convenience with structured training and review exercises to reinforce learning. You’ll learn through videos, PPTs and complete assignments, projects and other activities designed to enhance learning outcomes, all at times that are most convenient to you.

Course Price At

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Instructor-Led Online Training Parameters

Course Highlights

  • Duration: 24 Hrs
  • Subject Matter Expert
  • After Training Support
  • Lifetime E-Learning Access
  • Recorded Sessions
  • Free Online Assessments
Introduction to Julia Programming: Machine-Learning Models and AI Training Course Syllabus

Curriculum Designed by Experts

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The Introduction to Julia Programming: Machine-Learning Models and AI course by Multisoft Virtual Academy is designed to equip professionals with the skills needed to harness the power of Julia, a high-performance programming language tailored for numerical and scientific computing. This course provides a comprehensive introduction to Julia's unique capabilities, making it an ideal choice for those looking to dive into the world of machine learning and artificial intelligence. Participants will learn how to leverage Julia's speed and efficiency to build sophisticated machine-learning models and AI applications. The course covers fundamental concepts, including data manipulation, algorithm development, and model training, while also delving into more advanced topics like deep learning and neural networks. With a focus on practical, hands-on learning, this course ensures that learners gain real-world experience by working on projects and case studies. Whether you are a data scientist, AI engineer, or a developer looking to expand your skill set, this course provides the tools and knowledge necessary to excel in the rapidly growing fields of machine learning and AI. Upon completion, participants will be well-prepared to implement Julia-based solutions in their professional projects, enhancing capabilities and positioning themselves as leaders in the AI & machine learning landscape.

 

The Introduction to Julia Programming: Machine-Learning Models and AI course teaches participants the fundamentals of Julia, a high-performance programming language ideal for data science. This course covers essential programming concepts, data structures, and machine-learning techniques, enabling learners to build and optimize AI models efficiently. It's designed for programmers and data scientists aiming to advance their skills in AI development.

  • What is Julia?
  • LLVM
  • Installing and Using Julia
  • The Julia REPL
  • Julia IDEs
  • Installing the Julia kernel for Jupyter notebooks
  • VS Code
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  • Variables and Types in Julia
  • Integers
  • No overflow checking
  • Floats
  • Strings
  • Characters versus strings
  • Strings are assumed to be UTF-8
  • print
  • println
  • formatted printing
  • Dates
  • Using Latex Symbols
  • Best Practices for Datatypes
  • Best practice to ensure the compiler can correctly deduce type
  • Julia Operators and Functions
  • Functions and operators
  • pipe operator
  • Function composition
  • Tuple arguments are immutable
  • Array arguments are mutable
  • Variable number of arguments
  • Broadcasting a function
  • Anonymous functions
  • Contents - Multiple Dispatch
  • Multiple Dispatch
  • Function Signatures
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  • Arrays
  • Julia matrices are in column-major order
  • Linear and Cartesian indexes
  • Each Index operator
  • Arrays with custom indices
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  • FileIO Package
  • Standard File Types
  • Implementing Loaders and Saves
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  • Statistical modeling
  • Machine Learning
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  • Neural Network Basics in Julia
  • Advanced Neural Network Libraries in Julia
  • Performance Tuning for Neural Networks
  • Quantization of Neural Networks
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  • The Julia Debugger
  • High-Performance Julia
  • Principles of high-performance programming
  • Profiling Julia code
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  • Julia with TensorFlow and PyTorch
  • ONNX
  • Creating a computer vision system
  • Picking a model from the “zoo”
  • ResNet
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Introduction to Julia Programming: Machine-Learning Models and AI Training Description

  • Grasp the basic syntax, data types, and functions of Julia to lay a solid programming foundation.
  • Learn about the advanced data structures in Julia that are critical for effective data manipulation and analysis.
  • Gain hands-on experience in applying various machine learning algorithms using Julia, from linear regression to more complex neural networks.
  • Utilize Julia’s extensive libraries and frameworks for AI and machine learning to enhance model development and data analysis.
  • Understand and apply techniques for performance tuning and parallel computing in Julia to handle large datasets efficiently.
  • Create practical AI solutions that solve real-world problems, demonstrating the power and flexibility of Julia in AI development.

  • Data Scientists
  • Machine Learning Engineers
  • AI Researchers
  • Software Developers
  • Data Analysts
  • Computational Scientists
  • Graduate Students in Data Science
  • AI Enthusiasts

  • Basic understanding of programming concepts
  • Familiarity with any programming language

Introduction to Julia Programming: Machine-Learning Models and AI Training Certification

Multisoft Virtual Academy provides a globally recognized training certificate to the participants, after successful completion of a training program. The training certificates are recognized and accepted across the world.

Multisoft Virtual Academy's training certificate comes with lifetime validity.

Aspirants can directly enroll for the desired course from the Book Now Button in the course page. You can also connect on Whatsapp at +91 8130666206 to talk with a training advisor. Multisoft Virtual Academy also offers customized training programs on a wide range of domains and skills.

All training programs offered by Multisoft Virtual Academy are delivered by certified industry experts, who have years of experience in the relevant domains. Multisoft Global Subject Matter Experts impart knowledge on a wide variety of training courses through one –on-one and corporate training sessions.

Multisoft Virtual Academy training certification can help participants stand out in the competitive job market. Since the training certificates are internationally accepted, participants can showcase their skills and knowledge to employers across the world.

Introduction to Julia Programming: Machine-Learning Models and AI Corporate Training Certification

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Interactive Virtual Training

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Lifetime Access

Lifetime Access

  • Lifetime E-learning Access
  • Recorded Training Session Videos
  • Free Access to Practice Tests
24x7 Assistance

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  • Doubt Resolution in Real-time
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Hands on Experience

Hands on Experience

  • Project Based Learning
  • Learning based on real-life examples
  • Assignments and Practice Tests
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  • Globally Recognized and Accepted
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Introduction to Julia Programming: Machine-Learning Models and AI Training FAQ's

Yes, participants will receive a certificate from Multisoft Virtual Academy after successfully completing the course.

Participants will have access to course materials, practical exercises, and support from expert instructors.

Yes, this course is designed to help those with basic programming knowledge get started in AI and machine learning.

Absolutely! The course is designed to be practical, enabling you to apply Julia and machine learning techniques to real-world problems.

To contact Multisoft Virtual Academy you can mail us on enquiry@multisoftvirtualacademy.com or can call for course enquiry on this number  +91 8130666206

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