Python, GPT4 LLMs- From Core Concepts to Advanced LLM Tech

Python, GPT4 & LLMs: From Core Concepts to Advanced LLM Tech, available at $64.99, has an average rating of 4.55, with 61 lectures, based on 18 reviews, and has 133 subscribers.

You will learn about Python Formatted Input/Output Iterators and Generators Python Advanced Techniques Fetch, clean, and manipulate data Python Concurrent Object-Oriented Programming Discover what design patterns are and why they are different in Python Python Library Functions, Objects, Classes & Inheritance Implement objects in Python by creating classes and defining methods Explore fundamental concepts of coding using data structures and control flow This course is ideal for individuals who are Web Developers or Software Developers or Programmers or Anyone interested in Python It is particularly useful for Web Developers or Software Developers or Programmers or Anyone interested in Python.

Enroll now: Python, GPT4 & LLMs: From Core Concepts to Advanced LLM Tech

Summary

Title: Python, GPT4 & LLMs: From Core Concepts to Advanced LLM Tech

Price: $64.99

Average Rating: 4.55

Number of Lectures: 61

Number of Published Lectures: 60

Number of Curriculum Items: 61

Number of Published Curriculum Objects: 60

Original Price: $199.99

Quality Status: approved

Status: Live

What You Will Learn

Python Formatted Input/Output

Iterators and Generators

Python Advanced Techniques

Fetch, clean, and manipulate data

Python Concurrent Object-Oriented Programming

Discover what design patterns are and why they are different in Python

Python Library Functions, Objects, Classes & Inheritance

Implement objects in Python by creating classes and defining methods

Explore fundamental concepts of coding using data structures and control flow

Who Should Attend

Web Developers

Software Developers

Programmers

Anyone interested in Python

Target Audiences

Web Developers

Software Developers

Programmers

Anyone interested in Python

Dive into the Depths of Python Mastery: From Foundational Skills to Advanced LLM Applications”

In the ever-evolving landscape of technology, mastering Python offers the key to a kingdom of innovation and advancement. “Python, GPT4 & LLMs: From Core Concepts to Advanced LLM Tech” is an expertly crafted journey designed for professionals who are not content with basic knowledge but are driven by a quest for technical artistry and innovation. This course not only navigates through the quirks and nuances of Python but also ventures into the sophisticated realm of Large Language Models (LLMs), marking an expansion into the course’s Part 2. It stands as a lighthouse, guiding you through the intricacies of Python to emerge as a connoisseur of clean, efficient, and robust coding practices.

Embark on a voyage that begins with the elegance of Python, immersing you in pristine coding practices and the treasures within Python’s standard library. Explore software design landscapes, event-driven programming, concurrency, and the mysteries of metaprogramming. The journey doesn’t stop at mastering traditional Python; it extends into the advanced territories of LLMs, making this course unique.

With the newly added section, “Advanced Large Language Model Technologies: Foundations and Applications,” delve into the world of transformative LLMs, from their foundational principles to the latest in ChatGPT, GPT-4, PaLM 2, and Llama 2 technologies. Understand the architecture behind these models, their applications, and how to tailor them for specific tasks. This addition not only broadens your expertise in Python but also equips you with cutting-edge knowledge in AI and machine learning, setting new benchmarks in coding excellence.

The culmination of this journey arms you with the acumen for post-launch success, covering application packaging, continuous integration, and testing automation, ensuring your projects excel in real-world applications.

By the end of this comprehensive course, your transformation into a Python virtuoso will be complete, possessing not just a deep understanding of Python’s core and weird parts but also an advanced insight into the power of LLMs. This course is more than an educational endeavor; it’s a gateway to innovation, making you a sought-after professional in the technology sphere.

Enroll now and pave your path to becoming a pioneer in Python development and LLM integration, ready to make your mark in the world of technology.

Course Curriculum

Chapter 1: Welcome

Lecture 1: Introduction

Lecture 2: Welcome

Chapter 2: Part 1: Getting Started With Python

Lecture 1: Introduction

Lecture 2: Python – Writing a Project and Debugging

Lecture 3: Writing a Python Project – Python Mortgage Calculator

Lecture 4: Writing a Python Project – Formatted Input/Output

Lecture 5: Python Text Processing and Reading Files

Lecture 6: Python – Understanding Python Functions

Lecture 7: Python – Designing and Writing Functions in Python – 1

Lecture 8: Python – Designing and Writing Functions in Python – 2

Lecture 9: Python – Learn About Python Data Structures – 1

Lecture 10: Python – Learn About Python Data Structures – 2

Lecture 11: Python – Learn How to Manipulate Data in Python – 1

Lecture 12: Python – Learn How to Manipulate Data in Python – 2

Lecture 13: Section Summary

Chapter 3: Understanding Python Library Functions, Objects, Classes & Inheritance

Lecture 1: Python Import Statement and Module – 1

Lecture 2: Python Import Statement and Module – 2

Lecture 3: Python – Learn How to Write Powerful CSV Parser

Lecture 4: Python – Learn How to Make a Package

Lecture 5: Python – Learn About Classes

Lecture 6: Python – Learn About Attribute Access

Lecture 7: Python – Learn About Some Advanced Topics

Lecture 8: Python – Learn About Inheritance Basics

Lecture 9: Python – Writing a Project using Inheritance

Lecture 10: Python – Learn Some More Advanced

Lecture 11: Python – Learn How to Program More Defensive

Lecture 12: Section Summary

Chapter 4: Python Programming – Object-Oriented Programming

Lecture 1: Python OOP – Learn How to Create a Container Object

Lecture 2: Python OOP – Learn How to Create a Context Manager

Lecture 3: Python OOP – Encapsulation in Python

Lecture 4: Python OOP – Learn How to Manage Attributes – 1

Lecture 5: Python OOP – Learn How to Manage Attributes – 2

Lecture 6: Python OOP – Learn How to Manage Attributes – 3

Lecture 7: Python OOP – Learn How to Manage Attributes – 4

Lecture 8: Python OOP – Learn About Proxies and Wrappers

Lecture 9: Python OOP – Learn How to Use Python Functions

Chapter 5: Python Programming – Learn About Advanced Techniques

Lecture 1: Introduction

Lecture 2: Python Advanced Techniques: Learn About Decorators – 1

Lecture 3: Python Advanced Techniques: Learn About Decorators – 2

Lecture 4: Python Advanced Techniques: Understanding Decorators with Arguments

Lecture 5: Python Advanced Techniques: Learn About Python Class Decorators

Lecture 6: Python Advanced Techniques: Learning Python Types and Metaclasses

Lecture 7: Writing a Python Project – Learn How to Track Subclasses

Lecture 8: Python Advanced Techniques: Using Metaclasses to Fill in Details

Lecture 9: Python Advanced Techniques: Learn About Iterators and Generators

Lecture 10: Python Advanced Techniques: Writing a Project with Generator Function

Lecture 11: Python Advanced Techniques: Learn How to Process Pipelines and Workflows

Lecture 12: Python Advanced Techniques: Learn About Coroutines

Lecture 13: Python Advanced Techniques: Writing a Project with Coroutines

Lecture 14: Learn More About Coroutines – 1

Lecture 15: Learn More About Coroutines – 2

Chapter 6: Python Summary

Lecture 1: Summary

Chapter 7: Part 2: Advanced Large Language Model Technologies: Foundations and Applications

Lecture 1: Foundational Principles of Transformative LLMs

Lecture 2: Evolutionary Trajectory of Large Language Models

Lecture 3: Architectural Insights into Large Language Models

Lecture 4: Exploring the Impact of Industrial Components in LLMs

Lecture 5: Analyzing Layer Interconnectivity and Self-Attention Mechanisms

Lecture 6: The Rise of Transformers as Fundamental Models

Lecture 7: Exploring Cutting-Edge LLMs: ChatGPT, GPT-4, PaLM 2, and Llama 2

Lecture 8: Customizing LLMs for Specific Tasks: Strategies and Case Studies

Instructors

Merle Beazdell
Software Engineer & Entrepreneur

Rating Distribution

1 stars: 0 votes

2 stars: 1 votes

3 stars: 0 votes

4 stars: 3 votes

5 stars: 14 votes

Frequently Asked Questions

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