Azure AI (AI-102) – Azure AI Online Training Demo By Visualpath

Introduction

Introduction

Welcome to the Azure AI (AI-102) online training demo provided by Visualpath. In this session, we will explore the fundamentals of Python programming which is essential for starting with Azure AI, and delve into various aspects of Azure AI including essential concepts, machine learning, computer vision, natural language processing, and more.

Understanding Python Programming

Before we discuss Azure AI, it's crucial to have a basic understanding of Python programming, especially for those who are new to it. Python is known for its readability and simplicity compared to other programming languages like Java and C++. It supports both procedural and object-oriented programming styles.

Procedural Programming

Procedural programming in Python involves defining functions that can be called to perform specific tasks. This is similar to the functions you would create in languages like C and Java. Here’s a simple example:

def function_a():
    print("Hello")

def function_b():
    print("Ram")

print("Good morning")
function_a()
function_b()

When this code executes, it prints messages based on the function calls, showcasing how Python’s procedural programming functions work.

Object-Oriented Programming

Object-oriented programming (OOP) in Python uses classes to encapsulate functionality. Unlike procedural programming, in OOP, data and behavior are combined, allowing for better organization and modularity.

class Employee:
    def display_info(self):
        print("Employee Details")

employee = Employee()
employee.display_info()

In this snippet, we declare a class Employee with a method to display its details.

Python Syntax and Data Types

Python's dynamic nature allows for declaring and defining variables in a single line without stating their data types. For example:

a = 3       # Integer
b = 5.7     # Float
c = "Text"  # String

You can check the data type using the type() function.

Collections in Python

Python offers several collection data types, including lists and dictionaries.

Lists

Lists can contain multiple values and allow operations like adding or removing elements.

my_list = [1, 2, 3]
my_list.append(4)  # Adding element
my_list.remove(2)  # Removing element

Dictionaries

Dictionaries represent key-value pairs, allowing for easy data retrieval.

my_dict = ("name": "Employee", "company": "Visualpath")
print(my_dict["name"])  # Output: Employee

Azure AI Overview

With a fundamental understanding of Python, we can shift our focus to Azure AI. Azure AI covers a broad category of services for artificial intelligence applications.

Key Concepts of Azure AI

1. Introduction to AI
2. Understanding Machine Learning
3. Computer Vision
4. Natural Language Processing (NLP)
5. Document Intelligence
6. Generative AI

The session on Azure AI includes hands-on exercises in Azure’s platforms, making it critical for learners to have an active Azure account. Students can sign up for free to access numerous services for an introductory period.

Natural Language Processing (NLP)

NLP is a field within AI focusing on the interaction between computers and humans through language. It leverages tokenization techniques to preprocess text data before converting it into a structured format suitable for computer processing.

Tokenization and Stop Words

• Tokenization involves breaking text into words or sentences, allowing the model to process them effectively.
• Stop Words Removal filters out common words that don’t contribute meaning, making it easier for models to focus on important terms.

from nltk.tokenize import word_tokenize, sent_tokenize
text = "Hello. How are you?"
print(word_tokenize(text))
print(sent_tokenize(text))

By mastering these fundamentals, students can build their skills in machine learning and other advanced AI concepts.

Conclusion

Thank you for participating in this demo session. We look forward to guiding you through the comprehensive curriculum on Azure AI, enhancing your skills and knowledge in this rapidly evolving field.

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Keyword

Azure AI, AI-102, Visualpath, Python programming, procedural programming, object-oriented programming, data types, collections, NLP, tokenization, stop words removal, machine learning, computer vision, generative AI.

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FAQ

1. How long is the Azure AI training program?
The training program typically spans about 45 days, including a crash course in Python programming for beginners.

2. Do I need prior knowledge of programming to enroll?
While prior programming knowledge is not mandatory, understanding the basics of Python will be beneficial.

3. Is the Azure account free for students?
Yes, students can create a free Azure account, which provides access to various services and features.

4. What are the key components of Azure AI covered in the training?
The training encompasses essential topics including AI introduction, machine learning, computer vision, NLP, document intelligence, and generative AI.

5. Will I receive training materials?
Yes, participants will receive PDFs and code snippets post-session for better learning and revision.