Venkata Bhamidipati

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Kids Technology / Machine Learning / Machine Learning group classes

Venkata Bhamidipati

Male, 52 Years
Experience: 10 Years
Qualification:
   Bachelors of Science from Andhra university
Language Known: English
Mode of Class:
 Group Classes
Fee:
1450 KlassCoin (Group Classes)
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Learning machine language, also known as machine code, involves understanding the low-level instructions that a computer's central processing unit (CPU) can execute directly. Machine language is typically represented in binary code, and it is the most basic form of programming that computers understand. 

For attending Hobbies and Extra curricular activities classes, Basic prerequisite requirement is having interest in learning of that class. Without having natural interest on particular topic/class, it's not meaningful to proceed with it along with Instructor . So it's advisable to have these as a part of the learning phase of your life  if you are really inclined and motivated to learn that hobby or activity. You should have all the items and required things with you at your home which are needed in that class. If not then you must buy from the market after taking suggestions from Instructors as per provided standard.

Course Fee per Class (In KlassCoins) Duration Type
Machine Learning group classes 1450 11 Months Group Classes

Hello , myself Venkata Bhamidipati  from India.A dynamic telecom architect with over 20 years engineering experience in integration , maintenance,installation ,protocol testing.  Currently I am working as freelancer  ,role- Machine learning training.  I have also served my role as a technical architect , test manager and technical solution architect. worked as a a technical lead and junior technical officer in BSNL for more than 10 years.  And I take coding classes for the interested students like machine learning, python .

  • Subject Details:

    I mostly prefer group or a batch class .currently working as a free lancer project name- Machine learning Training. I am trained and certified on Solaris 8 system administration., green belt certified from Tech Mahindra. , wired and wireless technology , Also received Machine learning online certificate from Stanford university.  

  • Book Published Details:

    I have been awarded as best engineer award from BSNL, operator Hyderabad. Merit award from Sonus Network ,Bangalore.

  • Language Known:
    English
  • Total Experiance:
    10 Years
  • Listening & Questioning Skill:
    Excellent
  • Reading Skill:
    Excellent
  • Writing Skill:
    Excellent
  • Presentation Skill:
    Excellent
  • Online classes Experiance:
    4000 hours
  • Award Recg:
    No data found.
  • Research Work:
    No data found.

Degree: Bachelors of Science - University: Andhra university

Degree:

Learning machine language, also known as machine code, involves understanding the low-level instructions that a computer's central processing unit (CPU) can execute directly. Machine language is typically represented in binary code, and it is the most basic form of programming that computers understand. 

  • Learning Objectives:

    Introduction to Computer Architecture

    Binary and Hexadecimal Number Systems

    Representation of Data

    Machine Language Instructions

    Registers and Memory

    Assembly Language

    Instruction Set Architecture (ISA)

    Assembly Language Programming

    Interrupts and Exception Handling

    Processor Modes and Privilege Levels

    Input/Output (I/O) Operations

    Machine Language Tools and Simulators

    Security and Exploitation

    Historical Perspective

    Advanced Topics (Optional)

  • Course Outline:
    • Introduction to Computer Architecture:
      • Overview of computer components: CPU, memory, registers
      • Understanding the fetch-decode-execute cycle
    • Binary and Hexadecimal Number Systems:
      • Basics of binary and hexadecimal representation
      • Converting between decimal, binary, and hexadecimal
    • Representation of Data:
      • Binary representation of integers, floating-point numbers, and characters
      • ASCII and Unicode encoding
    • Machine Language Instructions:
      • Understanding machine instructions and opcodes
      • Instruction formats: opcode, operand, addressing modes
    • Registers and Memory:
      • Overview of CPU registers and their functions
      • Memory organization and addressing
    • Assembly Language:
      • Introduction to assembly language as a human-readable representation of machine language
      • Writing simple assembly language programs
    • Instruction Set Architecture (ISA):
      • Understanding different ISAs (e.g., x86, ARM)
      • Key features of an ISA: instruction formats, addressing modes, instruction types
    • Assembly Language Programming:
      • Writing more complex programs in assembly language
      • Manipulating data, using loops, and making decisions
    • Interrupts and Exception Handling:
      • Introduction to interrupts and exceptions
      • Handling exceptions and interrupts in machine language
      • Memory Management:
      • Basics of memory hierarchy (registers, cache, RAM, secondary storage)
      • Memory segmentation and paging
    • Processor Modes and Privilege Levels:
      • User mode vs. kernel mode
      • Privilege levels and their implications
    • Input/Output (I/O) Operations:
      • Basics of I/O operations in machine language
      • Handling input and output devices
    • Machine Language Tools and Simulators:
      • Using tools and simulators to write and execute machine language programs
      • Debugging machine language code
    • System Calls:
      • Understanding system calls and their role in interacting with the operating system
      • Writing programs that make system calls
    • Security and Exploitation:
      • Basics of computer security in the context of machine language
      • Introduction to common security vulnerabilities and exploits
    • Historical Perspective:
      • Overview of the evolution of machine language
      • Historical machines and architectures
    • Advanced Topics (Optional):
      • SIMD (Single Instruction, Multiple Data) instructions
      • Introduction to microcode and microprogramming
    • Project Work:
      • Undertaking a project to demonstrate proficiency in writing machine language programs
      • Implementing simple algorithms or solving practical problems
  • Recomended Audience:

    Hobbies classes and Extracurricular activities are suitable for students whose age is more than or equal to 5 years old. As your child continues to grow, you will notice new and exciting abilities that your child Hobbies classes and Extracurricular activities are suitable for students whose age is more than or equal to 5 years old. As your child continues to grow, you will notice new and exciting abilities that your child. A child’s  brain grows the most during the first five years of life. By age 5, the brain has reached approximately 90 percent of its adult size. This means that much of the brain  structure and function has been established. Hence our best recommended audience for these hobbies classes are all students who are minimum 5 years old and more. Even a grownup student upto 16 years old can also go ahead for these Hobbies & Extra Curricular classes with their learning.


     

  • Pre-Requisite Requirement:

    For attending Hobbies and Extra curricular activities classes, Basic prerequisite requirement is having interest in learning of that class. Without having natural interest on particular topic/class, it's not meaningful to proceed with it along with Instructor . So it's advisable to have these as a part of the learning phase of your life  if you are really inclined and motivated to learn that hobby or activity. You should have all the items and required things with you at your home which are needed in that class. If not then you must buy from the market after taking suggestions from Instructors as per provided standard.

  • Course Level:
    Beginner
  • Language of Teaching:
    English
  • Class Schedule Availiability:
    Morning

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