OpenAIs Python APIs, Agents SDK & Codex App: A Code-Intensive Introduction

Colleagues, OpenAIs “Python APIs, Agents SDK & Codex App: A Code-Intensive Introduction” example-driven intro to generative AI programming with OpenAIs Python APIs, building single- and multi-agent systems with OpenAIs Agents SDK, and using Codex for vibe coding and AI-assisted software engineering. You will learn to: Set up your Python OpenAI programming environment and obtain your OpenAI API key so you can work with the OpenAI APIs, Agents SDK and Codex, leverage your Python skills and the OpenAI APIs to build multimodal AI apps that understand, generate and manipulate text, images, speech, video closed captions and code, and moderate text and images and Python skills and the OpenAI Agents SDK to build single-agent and multi-agent systems that can autonomously reason, use tools and execute multi-step tasks, and see the Codex app (now part of ChatGPT) for vibe coding and agentic engineering tasks. Skill-based training lessons include: 1) OpenAI Python APIs - Text Generation Via the Responses API, Speech Recognition, Speech Synthesis, and Closed Captions, Image Generation and Style Transfer, Content Moderation for Text and Images, and Generating Code with a Codex Model and the Responses API, 2) OpenAI Agents SDK - Single Agent System Python Tutor: Agent, Runner.run(), RunResult, Conversation State in Agents: previous_response_id, SQLiteSession, conversation_id, result.to_input_list(), Streaming Text and Events: Runner.run_streamed(), StreamEvent, run_item_stream_event, Python Tutor with a Model-Backed Input Guardrail: @input_guardrail, GuardrailFunctionOutput, InputGuardrailTripwireTriggered, Tools Overview: hosted, local and custom tools, Financial Research Agent: hosted WebSearchTool, custom @function_tool, Image Generation and Editing with ImageGenerationTool, Multi-agent customer service system: FileSearchTool, RAG, vector stores, handoffs between agents, Code Interpreter Tool: CodeInterpreterTool, hosted container, Local MCP SQLite Database: MCPServerStdio, Hosted MCP Weather and Geocoding: MCPServerStreamableHttp, AccuWeather Agent with ComputerTool: AsyncComputer, Playwright for automated web-browser interactions, ShellTool Folder Inspector: Custom executor, human-in-the-loop approval, Local LLM via LiteLLM and Ollama: LitellmModel, Python Code Tutor with Dynamic Instructions: Callable instructions, RunContextWrapper, typed context, 3) Vibe Coding and Agentic Engineering with the Codex App - AGENTS.md, Connecting Codex to Your Project Folder, Creating a Word-Cloud Code-Generation Script, Explaining Generated Code, Adding Type Hints, Docstrings and Comments, Creating Unit Tests, Performance Tuning, Translating Code Between Languages, and 4) Wrap-Up and Additional Resources..

Enroll today (teams & executives are welcome): https://tinyurl.com/37eb4hs2

For your listening-reading pleasure:

1 - “AI Software Engineer: ChatGPT, Bard & Beyond” (Audible) or (Kindle)  

2 - “ChatGPT - The Era of Generative Conversational AI Has Begun” (Audible) or (Kindle) 

3 - “ChatGPT, Gemini and Llama - The Journey from AI to AGI, ASI and Singularity” (Audible) (Kindle)

Much career success, AI Academy (please subscribe and share with your team)

OpenAI GPTs: Creating Your Own Custom AI Assistants

AI Colleagues, the “OpenAI GPTs: Creating Your Own Custom AI Assistants” training program will guide you through the exciting journey of creating and deploying custom GPTs that cater to diverse industries and applications. Imagine having a virtual assistant that can tackle complex legal document analysis, streamline supply chain logistics, or even assist in scientific research and hypothesis generation. Gain hands-on expertise with System Testing, AI Personalization, Expense Reports, Responsible AI, Safety Assurance, Human Computer Interaction, Interaction Design, Retrieval-Augmented Generation, Prompt Patterns, Travel Arrangements, Tool Calling, Human Centered Design, Generative AI Agents, Test Case, and Expense Management. You will use valuable tools such as ChatGPT, Generative AI, OpenAI, Prompt Engineering, and OpenAI API. Training modules include: 1) Custom GPTs Fundamentals, 2) THINK: Create Great GPTs (Part I), and 3) THINK: Create Great GPTs (Part II).

Enroll today (teams & executives are welcome): https://imp.i384100.net/PznXJY 

For your listening-reading pleasure:

1 - “AI Software Engineer: ChatGPT, Bard & Beyond” (Audible) or (Kindle)  

2 - “ChatGPT - The Era of Generative Conversational AI Has Begun” (Audible) or (Kindle) 

3 - “ChatGPT, Gemini and Llama - The Journey from AI to AGI, ASI and Singularity” (Audible) (Kindle)

Much career success, AI Academy (kindly subscribe and share with your team)

Building with the Claude API (Anthropic)

AI Colleagues, in the “Building with the Claude API (Anthropic)” program you will learn API fundamentals, prompt engineering, tool use, retrieval systems, and agentic workflows. By the end, you'll be able to build production applications that use Claude for tasks ranging from simple requests to autonomous agents.Learners will build applications including chat interfaces, evaluation pipelines, tool-enabled systems, retrieval augmented generation implementations, and autonomous agents. These projects apply skills in API integration, prompt engineering, tool design, vector search, and workflow orchestration. Build applications where Claude uses tools to interact with external systems and data, and Implement retrieval systems and autonomous workflows for complex tasks. Acquire highly marketable skills with Tool Calling, Agentic systems, Model Evaluation, Context Management, Retrieval-Augmented Generation, and Embeddings while using tools including Anthropic Claude, Prompt Engineering, Agentic Workflows, AI Workflows, Model Context Protocol, Claude Code, and Application Programming Interfaces (API). Training modules will address: 1) Getting Started with Claude, 2) Prompt Engineering and Evaluation, 3) Claude Features and Tool Use, 4) Model Content Protocol (MCP), 5) Retrieval Augmented Generation (RAG), 6) Claude Code and Computer Use, and 7) Agentic Workflows.

Enroll today (teams & executives are welcome): https://imp.i384100.net/DWaPN5

For your listening-reading pleasure:

1 - “AI Software Engineer: ChatGPT, Bard & Beyond” (Audible) or (Kindle)  

2 - “ChatGPT - The Era of Generative Conversational AI Has Begun” (Audible) or (Kindle) 

3 - “ChatGPT, Gemini and Llama - The Journey from AI to AGI, ASI and Singularity” (Audible) (Kindle)

Much career success, AI Academy (please subscribe and share with your team)

AI Agents and Agentic AI in Python: Powered by Generative AI Specialization

Colleagues, in the “AI Agents and Agentic AI in Python” training program you will build Autonomous AI Agents, create AI agents in Python that can operate independently, interact with APIs, and handle real-world tasks, master Core and Advanced Agent Concepts – Understand agent loops, tool integration, multi-agent collaboration, and design principles, and optimize AI Agents for Real-World Use – Develop resilient, efficient, and maintainable agents while balancing token costs, speed, and predictability. You will gain high-demand skills with Generative AI Agents, Business Logic, Agentic systems, Tool Calling, AI Security, Prompt Patterns, AI literacy, Artificial Intelligence, AI powered creativity, LLM Application, AI Enablement, Large Language Modeling, and File I/O. And use tools including OpenAI API, AI Workflows, AI Orchestration, ChatGPT, Prompt Engineering, Agentic Workflows, and Generative AI. Training lessons address: 1) AI Agents and Agentic AI with Python & Generative AI, 2Prompt Engineering for ChatGPT, and 3) AI Agents and Agentic AI Architecture in Python. 

Enroll today (teams & executives are welcome): https://imp.i384100.net/qWB7oy

For your listening-reading pleasure:

1 - “AI Software Engineer: ChatGPT, Bard & Beyond” (Audible) or (Kindle)  

2 - “ChatGPT - The Era of Generative Conversational AI Has Begun” (Audible) or (Kindle) 

3 - “ChatGPT, Gemini and Llama - The Journey from AI to AGI, ASI and Singularity” (Audible) (Kindle)

Much career success, AI Academy (please subscribe and share with your team)

Advanced Learning Algorithms (DeepLearning.AI)

AI Colleagues,in the “Advanced Learning Algorithms” program from DeepLearning.AI you will build and train a neural network with TensorFlow to perform multi-class classification, apply best practices for machine learning development so that your models generalize to data and tasks in the real world, and use decision trees and tree ensemble methods, including random forests and boosted trees. You will gain highly marketaable skills including Applied Machine Learning, Machine Learning Algorithms, Supervised Learning, Deep Learning, Model Evaluation, Transfer Learning, Decision Tree Learning, Data Ethics, Model Training, Logistic Regression, Machine Learning, Model Optimization, Random Forest Algorithm, Fine-tuning, Responsible AI, and Artificial Neural Networks and useTensorflow, and Classification Algorithms. Training modules address: 1) Neural Networks, 2) Neural Networks Training, 3) Advice for Applying Machine Learning, and Decision Trees.

Enroll today (teams & executives are welcome): https://imp.i384100.net/3kzkVX 

For your listening-reading pleasure:

1 - “AI Software Engineer: ChatGPT, Bard & Beyond” (Audible) or (Kindle)  

2 - “ChatGPT - The Era of Generative Conversational AI Has Begun” (Audible) or (Kindle) 

3 - “ChatGPT, Gemini and Llama - The Journey from AI to AGI, ASI and Singularity” (Audible) (Kindle)

Much career success, AI Academy (please subscribe and share with your team)

LLM Engineering That Works: Prompting, Tuning, and Retrieval Professional Certificate

AI Colleagues, the “LLM Engineering That Works: Prompting, Tuning, and Retrieval Professional Certificate”program combines 5 long courses, 19 short courses, and 4 add-on modules to cover the end-to-end lifecycle of large language models—from prompt design and model tuning to retrieval, evaluation, and deployment. You’ll learn to build robust, ethical, and cost-efficient LLM solutions through hands-on projects that mirror real-world workflows. By completing this program, you’ll gain the skills needed to design, implement, monitor, and improve scalable LLM-enabled applications across industries. You will: Learn prompting, tuning, retrieval, and scalable architectures for reliable AI applications. Design and deploy production-grade LLM systems combining prompting, tuning, and retrieval. Build reliable, scalable AI pipelines with evaluation, monitoring, and governance. And apply responsible AI practices, ethics, and safety throughout the lifecycle of LLMs. Gain high-demand skills in Responsible AI, Prompt Patterns, Model Optimization, Product Requirements, Feature Engineering, Model Training, Data Ethics, SQL, LLM Application, MLOps (Machine Learning Operations), Model Evaluation, and Systems Architecture. Training modules address: 1) Production AI Model Development and Ethics, 2) Building Reliable LLM Systems, 3) Testing and Refining LLM Applications, 4) Designing Production LLM Architectures, 5) Evaluating LLM Performance and Efficiency, and 6) Advancing Your Career in Production AI.

Enroll today (teams & executives are welcome): https://imp.i384100.net/5kx0no

For your listening-reading pleasure:

1 - “AI Software Engineer: ChatGPT, Bard & Beyond” (Audible) or (Kindle)  

2 - “ChatGPT - The Era of Generative Conversational AI Has Begun” (Audible) or (Kindle) 

3 - “ChatGPT, Gemini and Llama - The Journey from AI to AGI, ASI and Singularity” (Audible) (Kindle)

Much career success, AI Academy (please subscribe and share with your team)

AI Agent Developer Specialization

Colleagues, in the “AI Agent Developer Specialization” program you will learn to design, build, and refine intelligent software agents using Python, generative AI, and agentic architectures for real-world applications. Build and deploy intelligent AI agents using Python, tools, memory, and reasoning, create custom GPTs and apply prompt engineering techniques for real-world tasks, and design trustworthy, responsible AI systems aligned with best practices. Gain high-demand skills involving Prompt Patterns, Generative AI Agents, Agentic systems, Retrieval-Augmented Generation (RAG), Data Presentation, AI powered creativity, LLM Application, Software Development, Document Management, Verification And Validation, Ideation, Responsible AI, and Data Visualization. You will also use tools including Agentic Workflows, Generative AI, ChatGPT, OpenAI API, Prompt Engineering, AI Workflows, and AI Orchestration. Skill-based training modules address: 1) AI Agents and Agentic AI with Python & Generative AI, 2) AI Agents and Agentic AI Architecture in Python, 3) OpenAI GPTs: Creating Your Own Custom AI Assistants, 4) Prompt Engineering for ChatGPT, 5) ChatGPT Advanced Data Analysis, and 6) Trustworthy Generative AI. 

Enroll today (teams & executives are welcome): https://imp.i384100.net/e1Bv4D 

For your listening-reading pleasure:

1 - “AI Software Engineer: ChatGPT, Bard & Beyond” (Audible) or (Kindle)  

2 - “ChatGPT - The Era of Generative Conversational AI Has Begun” (Audible) or (Kindle) 

3 - “ChatGPT, Gemini and Llama - The Journey from AI to AGI, ASI and Singularity” (Audible) (Kindle)

Much career success, AI Academy (please subscribe and share with your team)

Unsupervised Learning, Recommenders, Reinforcement Learning (training)

Colleagues, in the “Unsupervised Learning, Recommenders, Reinforcement Learning” program you will learn to use unsupervised learning techniques for unsupervised learning: including clustering and anomaly detection, build recommender systems with a collaborative filtering approach and a content-based deep learning method, and develop a deep reinforcement learning model. Acquire high-demand skills in Anomaly Detection, Deep Learning, Supervised Learning, Artificial Intelligence, Dimensionality Reduction, Data Ethics, Unsupervised Learning, Applied Machine Learning, Reinforcement Learning, Artificial Neural Networks, Machine Learning, and Responsible AI. This program is taught by Andrew Ng, an AI visionary who has led critical research at Stanford University and groundbreaking work at Google Brain, Baidu, and Landing.AI to advance the AI field. It provides a broad introduction to modern machine learning, including supervised learning (multiple linear regression, logistic regression, neural networks, and decision trees), unsupervised learning (clustering, dimensionality reduction, recommender systems), and some of the best practices used in Silicon Valley for artificial intelligence and machine learning innovation (evaluating and tuning models, taking a data-centric approach to improving performance, and more). Unsupervised learning: Two key unsupervised learning algorithms: clustering and anomaly detection. Recommender systems: Making recommendations. Using per-item features. Collaborative filtering algorithm. Binary labels: favs. Mean normalization. TensorFlow implementation of collaborative filtering. Reinforcement learning: Learn about reinforcement learning, and build a deep Q-learning neural network in order to land a virtual lunar lander on Mars!

Enroll today (teams & executives are welcome): https://imp.i384100.net/xJb7g5

For your listening-reading pleasure:

1 - “AI Software Engineer: ChatGPT, Bard & Beyond” (Audible) or (Kindle)  

2 - “ChatGPT - The Era of Generative Conversational AI Has Begun” (Audible) or (Kindle) 

3 - “ChatGPT, Gemini and Llama - The Journey from AI to AGI, ASI and Singularity” (Audible) (Kindle)

Much career success, AI Academy (share with your team)

Machine Learning with Python: from Linear Models to Deep Learning (MITx)

Colleagues, the “Machine Learning with Python: from Linear Models to Deep Learning” program offers an in-depth introduction to the field of machine learning, from linear models to deep learning and reinforcement learning, through hands-on Python projects. In this course, you will learn about principles and algorithms for turning training data into effective automated predictions, representation, over-fitting, regularization, generalization, VC dimension, clustering, classification, recommender problems, probabilistic modeling, reinforcement learning, and on-line algorithms, support vector machines, and neural networks/deep learning. Students will implement and experiment with the algorithms in several Python projects designed for different practical applications. Skill-based training modules include: 1) Understand principles behind machine learning problems such as classification, regression, clustering, and reinforcement learning, 2) Implement and analyze models such as linear models, kernel machines, neural networks, and graphical models, 3) Choose suitable models for different applications, and 4) Implement and organize machine learning projects, from training, validation, parameter tuning, to feature engineering.

Enroll today (teams and execs are welcome): https://edx.sjv.io/oNP9ao 

Recommended Reading:

1 - “AI Software Engineer: ChatGPT, Bard & Beyond” (Audible) or (Kindle)  

2 - “ChatGPT, Gemini and Llama - The Journey from AI to AGI, ASI and Singularity” (Audible) (Kindle)

3 - “The Upskill Gambit - Discover the 5 Keys to Your Career and Income Security in the Digital Age” (Audible) (Kindle)

Much success in your AI career, AI Academy (please subscribe and share with you colleagues)

Google AI Essentials (training)

Colleagues, the “Google AI Essentials” program is designed to help people across roles and industries get essential AI skills to boost their productivity, zero experience required. The course is taught by AI experts at Google who are working to make the technology helpful for everyone. In under 10 hours, they’ll do more than teach you about AI — they’ll show you how to actually use it in the real world. Stuck at the beginning of a project? You’ll learn how to use AI tools to generate ideas and content. Planning an event? You’ll use AI tools to help research, organize, and make more informed decisions. Drowning in a flooded inbox? You’ll use AI tools to help speed up those daily work tasks, like drafting email responses. You’ll also learn how to write effective prompts and use AI responsibly by identifying AI’s potential biases and avoiding harm. After you complete the course, you’ll earn a certificate from Google to share with your network and potential employers. By using AI as a helpful collaboration tool, you can set yourself up for success in today’s dynamic workplace — and you don’t even need programming skills to use it. Skill-based modules include: 1) Introduction to AI, 2) Maximize Productivity With AI Tools, 3) Discover the Art of Prompt Engineering, 4) Use AI Responsibly, and 5) Stay Ahead of the AI Curve. Learn generative AI tools to help develop ideas and content, make more informed decisions, and speed up daily work tasks. Write clear and specific prompts to get the output you want - you’ll apply prompting techniques to help summarize, create tag lines, and more. Use AI responsibly by identifying AI’s potential biases and avoiding harm. Develop strategies to stay up-to-date in the emerging landscape of AI. Gain high demand and highly marketable skills in Artificial Intelligence (AI), Prompt Engineering, Large Language Models (LLMs) and Generative AI.

Enroll today (teams & executives are welcome): https://imp.i384100.net/AgkRoa

For your listening-reading pleasure:

1 - “AI Software Engineer: ChatGPT, Bard & Beyond” (Audible) or (Kindle)  

2 - “ChatGPT - The Era of Generative Conversational AI Has Begun” (Audible) or (Kindle) 

3 - “ChatGPT, Gemini and Llama - The Journey from AI to AGI, ASI and Singularity” (Audible) (Kindle)

Much career success, Lawrence E. Wilson - AI Academy (share with your team)