Course Information
Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
6 Hour(s) 37 Minute(s)
Language
English
Taught by
Merle Beazdell
Certificate
- Available
- *The delivery and distribution of the certificate are subject to the policies and arrangements of the course provider.
Rating
8 views
Course Overview
Master Modern Python, Engineer Autonomous Agents, and Deploy Local LLMs (Llama 4, Gemini 3, o3)
Python, GPT-5.2 & LLMs: From Core Concepts to Advanced AI Engineering
Unlock the Future of Code. Master Python. Command the Agentic Revolution.
In a world driven by "Reasoning Models" and "Autonomous Agents," mere coding proficiency isn't enough. True impact comes from combining architectural mastery with cutting-edge AI. "Python, GPT-5.2 & LLMs" is your launchpad to the forefront of 2026's tech landscape.
Meticulously engineered for ambitious developers, this course elevates your Python prowess to professional standards and empowers you to harness the revolutionary capabilities of GPT-5.2, Gemini 3 Pro, and Llama 4. If you're ready to transcend conventional scripting and build the intelligent systems of tomorrow, your journey begins now.
Forge Your Expertise: From Pythonic Foundations to Architectural Brilliance
We don't just teach syntax; we teach software engineering. You will learn to write code that is clean, efficient, and "Pythonic."
Master Advanced Python: Conquer decorators, generators, and context managers.
Write Indestructible Code: Implement robust error handling and Unit Testing to ensure your apps survive the real world.
Embrace Asynchronous Power: Skillfully manage asyncio and multi-threading—critical skills for building responsive AI applications that handle multiple API calls simultaneously.
Command the AI Revolution: Agents, RAG & Reasoning
The true power of Python today lies in orchestrating Intelligence. We move beyond basic chatbots into the world of AI Engineering.
Unveil Next-Gen LLMs: Understand the architecture behind GPT-5.2 (OpenAI), Gemini 3 (Google), and the open-source powerhouse Llama 4 (Meta).
Build "Thinking" Applications: Learn how to integrate reasoning models (like o3-mini) that can "think" before they speak, solving complex logic puzzles and coding tasks.
Create RAG Pipelines: Stop hallucinations. Teach your AI to read your own PDFs, databases, and emails using Retrieval Augmented Generation (RAG).
Deploy Local & Private AI: Learn to run models like Phi-4 and DeepSeek entirely on your own laptop—no API fees, 100% privacy.
From Concept to Career: Real-World Deployment
Your journey culminates in transforming code into value.
Seamless Deployment: Containerize your agents and deploy them to the cloud.
Future-Proof Skills: Master the "Agentic Workflow"—the new standard where developers act as architects for AI systems that plan and execute their own tasks.
Why This Course Is Your Definitive Advantage
Acquire a Coveted Skill Set: The fusion of Python Software Engineering + AI Agent Development is the #1 skill set employers are hiring for in 2026.
Stay Ahead of the Curve: While others are still learning GPT-4, you will be building with GPT-5.2 and multimodal Llama 4.
Become an Architect: Move beyond being a consumer of API endpoints to become a creator of intelligent systems.
Course Content
- 8 section(s)
- 61 lecture(s)
- Section 1 Welcome
- Section 2 Part 1: Getting Started With Python
- Section 3 Understanding Python Library Functions, Objects, Classes & Inheritance
- Section 4 Python Programming - Object-Oriented Programming
- Section 5 Python Programming - Learn About Advanced Techniques
- Section 6 Python Summary
- Section 7 Part 2: Advanced Large Language Model Technologies: Foundations and Applications
- Section 8 Thank You
What You’ll Learn
- Master Modern Python: Write clean, professional code using Python advanced features, Iterators, Generators, and Decorators.
- Build Autonomous AI Agents: Create AI systems that can plan, execute tools, and reason through complex tasks using GPT-5.2 and Claude Opus 4.5.
- Engineer RAG Systems: Build "Retrieval Augmented Generation" apps to let AI chat with your private data without hallucinations.
- Deploy Local LLMs: Run open-source models like Llama 4 and DeepSeek V3 locally on your own machine for privacy and zero cost.
- Advanced Data Mastery: Fetch, clean, and manipulate massive datasets for AI training using Pandas and Polars.
- Concurrent & Async Programming: Master asyncio and multi-threading to build high-performance, non-blocking AI applications.
- Object-Oriented Architecture: Implement robust design patterns and inheritance to structure scalable enterprise-grade software.
- Reasoning Model Integration: Learn to leverage "Thinking" models (like o3-mini and DeepSeek R1) for complex problem solving.
Skills covered in this course
Reviews
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FFrancisco Rubiales Jimenez
Very nice approach to common aspects of the language, instructor reveals some very useful ways to manage known python structures.
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JJ. Silva
So far this is what I needed. I have 5 years of python experience. Some more other years in programming in general. The teachers sounds a lot more experienced than I am. And to be a little bit around experienced people, transmists you their mindset into particular subjects. And for that reason I am happy with this course so far. Man... emacs still something I can't handle well tho. But good experience in general
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PPranav Kudva
I have 2 years of web development experience with python and django framework. However, I never took the opportunity / time / effort to go beyond / under the hood of the stackoverflow answers that I stumbled upon while troubleshooting applications / programs / scripts I contributed to. As a result, the coolest thing that I appreciated about python (before re-learning through this course) was list-comprehensions alone. My naive thought was that this is the only reason programmers loved python. The course was an eye-opener and kept me attracted towards other nice features about the language, section after section, lesson after lesson. The instructor does not only introduce the nuances of language, but also equip us with neat-tricks / tips to apply on day-to-day feature development / dev-tasks that need to be coded by hand through boilerplate code involving a lot of grunt-work. I thoroughly enjoyed learning about python through this course and wished that this is how I gained the formal training in the language in the first place. It reinstated in me the believe in the power of formal structural learning over learning it the scout-and-gather way on encountering technical roadblocks. Kudos to the instructor - Merle Beazdell!! Way to go!
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DDennis Castro Canlas
Would be really helpful if there are hands-on especially on the topics covered, not only watching videos.
