Abstract

A brief survey which may help locate and short-list relevant courses for learning.
These are offerings on Coursera, edX, and others (in no particular order or recommendation!), together with some thoughts and suggestions (in parentheses) of personal observation and suggestion.
Please note that some individual courses are duplicated under different “Course Series” or “Certificates”. Similarly, there are similar?same offerings made on multiple platforms.
Do you have a suggestion or recommendation to add, or if you attempt one of these, please provide feedback for possible assistance to your colleagues… =dn
The 📅 icon plus a date (in NZST/NZDT) indicates when an entry has been added or updated since first-publication.

Coursera: 30 Days of Gen AI at 5 minutes per day 📅 2025-05-11

AI is not only for engineers.
3 course series
20 hours
What is AI
Building AI Projects
Building AI In Your Company
AI and Society

DeepLearning.AI: AI for Everyone 📅 2025-05-11

Addressing some of the world’s biggest challenges in areas like public health, climate change, and disaster management
Beginner level
6 hours

DeepLearning.AI: AI for Good Specialisation 📅 2025-04-27

Addressing some of the world’s biggest challenges in areas like public health, climate change, and disaster management
3 course series
20 hours

DeepLearning.AI: AI and Public Health

Introduction to AI for Good
AI for Good Project Framework
Air Quality in Bogotá Colombia

DeepLearning.AI: AI and Climate Change

Introduction to AI and Climate Change
Wind Power Forecasting
Monitoring Biodiversity
Monitoring Biodiversity Loss

DeepLearning.AI: AI and Disaster Management

Introduction to AI and Disaster Management
Satellite Imagery to Detect Disaster Locations
Analysing Text Data to Gain Insights

DeepLearning.AI: Generative AI for Software Development Skill Certificate

Leverage AI in your software development workflow. Learn practical prompt engineering and pair programming techniques with LLMs to write, test, and improve your code
3 course series
Beginner level
20 hours

DeepLearning.AI: Introduction to Generative AI for Software Development

Introduction to Generative AI
Pair-coding with an LLM
Leveraging an LLM for code analysis

DeepLearning.AI: Team Software Engineering with AI

Testing and Debugging
Documentation
Dependency Management

DeepLearning.AI: AI-Powered Software and System Design

Data SErialisation and Configuration-Driven Development
Databases
Software Design Patterns

DeepLearning.AI: Deep Learning Specialisation

Basics of AI Python Coding
5 course series
130 hours

DeepLearning.AI: Neural Networks and Deep Learning

Introduction to Deep Learning
Neural Networks Basics
Shallow Neural Networks
Deep Neural Networks

DeepLearning.AI: Improving Deep Neural Networks: Hyperparameter Tuning, Regularisation and Optimisation

Practical Aspects of Deep Learning
Optimisation Algorithms
Hyperparameter Tuning, Batch Normalisation, and Programming Frameworks

DeepLearning.AI: Structuring Machine Learning Projects

ML Strategy
ML Strategy

DeepLearning.AI: Convolutional Neural Networks

Foundations of Convolutional Neural Networks
Deep Convolutional Models: Case Studies
Object Detection
special Applications: Face recognition & Neural Style Transfer

DeepLearning.AI: Sequence Models

Recurrent Neural Networks
Natural Language Processing & Word Embeddings
Sequence Models & Attention Mechanism
Transformer Network

DeepLearning.AI: AI Python for Beginners

Basics of AI Python Coding
Automating Tasks with Python
Working with your own Data and Documents in Python
Extending Python with Packages and APIs

DeepLearning.AI: Python for Data Analytics

Programming Fundamentals: Jupyter, Python intro
Data Structures and Descriptive Statistics: pandas
Visualisation: matplotlib, Seaborn
Inferential Statistics: t-tests, regression, prediction, LLMs
Time Series: datetimes, forecasting

Stanford/DeepLearning.AI: Machine Learning Specialisation

foundational beginner-friendly program, the fundamentals of machine learning and how to use these techniques to build real-world AI applications
3 course series
80 hours

Stanford/DeepLearning.AI: Supervised Machine Learning: Regression and Classification

Introduction to Machine Learning
Regression with multiple input variables
Classification

Stanford/DeepLearning.AI: Advanced Learning Algorithms

Neural Networks
Neural Network Training
Advice for Machine Learning
Decision Trees

Stanford/DeepLearning.AI: Unsupervised Learning, Recommenders, Reinforcement Learning

Unsupervised Learning
Recommender Systems
Reinforcement Learning

Northeastern University: Generative AI: Foundations and Concepts 📅 2025-04-27

Intermediate level
21 hours
Foundations of Neural Networks and Optimisation
Regularisation and Advanced Techniques
Convolutional Neural Networks (CNNs)
Generative Models and Maximum Likelihood Learning

Penn (Wharton Business School): AI for Business Specialization

Fundamentals of using Big Data, Artificial Intelligence, and Machine Learning and the various areas in which you can deploy them to support your business
4 course series
40 hours

Penn: AI Fundamentals for Non-Data Scientists

Big Data and Artificial Intelligence
Training and Evaluating Machine Learning Algorithms
ML Application and Emerging Methods
Industry Interview
Generative AI

Penn: AI Applications in Marketing and Finance

AI and the Customer Journey
Personalisation
Finance
Additional AI Applications in Finance

Penn: AI Applications in People Management

The Promise and Potential of AI in HR
AI Application
Challenges with Applying AI to HR
Emerging Solutions

Penn: AI Strategy and Governance

Economics of AI
AI Innovation
Algorithmic Bias and Fairness
AI Governance and Explanable AI

AI: Python and Pandas for Data Engineering

Python intro, BASH, SQL, pip, virtual environments, pandas and alternatives, Dask, PySpark, polars, numpy, git version control, jupyter

Duke: Large Language Model Operations (LLMOps Specialisation 📅 2025-05-04

6 courses
Beginner level
200+ hours
Does not appear to involve Python (please confirm/correct…)

Duke: MLOps | Machine Learning Operations Specialisation 📅 2025-05-04

4 courses
Advanced level
130 hours

Duke: Python Essentials for MLOps

Introduction to Python
Python Functions and Classes
Testing in Python
Introduction to Pandas and Numpy
Applied Python for MLOps

Duke: DevOps, DataOps, MLOps

Introduction to MLOps
Essential Math and Data Science
Operations Pipelines: DevOps, DataOps, MLOps
End to End MLOps and AIOps
Rust for MLOps: The Practical Transition from Python to Rust

Duke: MLOps Platforms: Amazon SageMaker and Azure ML

Data Engineering with AWS Technology
Exploratory Data Analysis with AWS Technology
Modelling with AWS Technology
MLOps with AWS Technology
Machine Learning Certifications

Duke: MLOps Tools: MLflow and Hugging Face

Introduction to MLflow
Introduction to Hugging Face
Deploying Hugging Face
Applied Hugging Face

RWTHx: Scientific Programming for AI with Python

(German university in Aachen)
- Jupyter, intro Python (reusability, readability, queues, stacks, scope, namespaces, external modules - math, statistics, random, datetime; iterators, files, exceptions), numpy, matplotlib, pandas, scikit-learn

Harvard: Computer Science for Artificial Intelligence

s courses
150~200 hours

3 course series
40 hours

Vanderbilt University: Prompt Engineering for ChatGPT

Course Introduction
Introduction to Prompts
Prompt Patterns I
Few-Shot Examples
Prompt Patterns II
Prompt Patterns III

Vanderbilt University: Advanced Prompt Engineering for Everyone

Writing & In-context Learning
Think More, Not Less, Prompting for Options
Prompt Engineering: Machine Learning for Everyone
Controlling Output Formatting in-depth
Retrieval Augmented Generation (RAG)

Vanderbilt University: OpenAI GPTs: Creating Your Own Custom AI Assistants

Custom GPTs Fundamentals
THINK: Create Great GPTs (Part I)
THINK: Create Great GPTs (Part II)

Vanderbilt University: ChatGPT for Project Management - Leveraging AI for Success Specialization

3 course series
40 hours

Vanderbilt University: ChatGPT for Project Management: Execution, Tracking, Success

Tracking Status Updates from Email, Meetings, & More
Amazing Meeting Coordination with ChatGPT

Vanderbilt University: Prompt Engineering for ChatGPT

Course Introduction
Introduction to Prompts
Prompt Patterns I
Few-Shot Examples
Prompt Patterns II
Prompt Patterns III

Vanderbilt University: ChatGPT for Project Management: Insight, Planning, & Success

Introduction to Mastering ChatGPT for Project Management
Organising Project Elements with ChatGPT
Analysing with ChatGPT

Vanderbilt University: Prompt Engineering Specialization

3 course series
40 hours

Vanderbilt University: Prompt Engineering for ChatGPT

Course Introduction
Introduction to Prompts
Prompt Patterns I
Few-Shot Examples
Prompt Patterns II
Prompt Patterns III

Vanderbilt University: ChatGPT Advanced Data Analysis

Introduction to ChatGPT Advanced Data Analysis
Introduction to ChatGPT Advanced Data Analysis Use Cases
Tackle the Right Problems: Appropriate Use of ChatGPT Advanced Data Analysis
Human and AI Process Planning in ChatGPT Advanced Data Analysis
Error Identification Techniques, Error Handling, and Techniques for Large Documents and Outputs

Vanderbilt University: Trustworthy Generative AI

Trustworthy Generative AI

Vanderbilt University: Prompt Engineering for Educators Specialization

3 course series
40 hours

Vanderbilt University: Prompt Engineering for ChatGPT

Course Introduction
Introduction to Prompts
Prompt Patterns I
Few-Shot Examples
Prompt Patterns II
Prompt Patterns III

Vanderbilt University: Innovative Teaching with ChatGPT

Introduction

Vanderbilt University: GPT Vision: Seeing the World Through Generative AI

Learn About Anything with GPT Vision
Solve Real-world Problems with GPT Vision and Your Phone

Vanderbilt University: Generative AI Leadership & Strategy Specialization

3 course series
40 hours

Vanderbilt University: Generative AI for Leaders

Introduction
Using Generative AI as a Leader
Addressing Staff Anxiety: Augmented Intelligence, Not Artificial Intelligence

Vanderbilt University: Prompt Engineering for ChatGPT

Course Introduction
Introduction to Prompts
Prompt Patterns I
Few-Shot Examples
Prompt Patterns II
Prompt Patterns III

Vanderbilt University: Trustworthy Generative AI

Trustworthy Generative AI

Vanderbilt University: Generative AI for Educators and Teachers Specialization

4 course series
26 hours

Vanderbilt University: Generative AI Primer

Generative AI Primer

Vanderbilt University: Innovative Teaching with ChatGPT

Introduction

Vanderbilt University: GPT Vision: Seeing the World Through Generative AI

Learn About Anything with GPT Vision
Solve Real-world Problems with GPT Vision and Your Phone

Vanderbilt University: Trustworthy Generative AI

Trustworthy Generative AI

Vanderbilt University: Generative AI Automation Specialization

4 course series
40 hours

Vanderbilt University: Prompt Engineering for ChatGPT

Course Introduction
Introduction to Prompts
Prompt Patterns I
Few-Shot Examples
Prompt Patterns II
Prompt Patterns III

Vanderbilt University: ChatGPT Advanced Data Analysis

Introduction to ChatGPT Advanced Data Analysis
Introduction to ChatGPT Advanced Data Analysis Use Cases
Tackle the Right Problems: Appropriate Use of ChatGPT Advanced Data Analysis
Human and AI Process Planning in ChatGPT Advanced Data Analysis
Error Identification Techniques, Error Handling, and Techniques for Large Documents and Outputs

Vanderbilt University: Trustworthy Generative AI

Trustworthy Generative AI

Vanderbilt University: GPT Vision: Seeing the World Through Generative AI

Learn About Anything with GPT Vision
Solve Real-world Problems with GPT Vision and Your Phone

Vanderbilt University: Generative AI Assistants Specialization

3 course series
40 hours

Vanderbilt University: Prompt Engineering for ChatGPT

Course Introduction
Introduction to Prompts
Prompt Patterns I
Few-Shot Examples
Prompt Patterns II
Prompt Patterns III

Vanderbilt University: OpenAI GPTs: Creating Your Own Custom AI Assistants

Custom GPTs Fundamentals
THINK: Create Great GPTs (Part I)
THINK: Create Great GPTs (Part II)

Vanderbilt University: Trustworthy Generative AI

Trustworthy Generative AI

Vanderbilt University: Agentic AI and AI Agents for Leaders Specialization

3 course series
12 hours

Vanderbilt University: Agentic AI and AI Agents: A Primer for Leaders

Agentic AI Concepts
Overview of Custom GPTs

Vanderbilt University: OpenAI GPTs: Creating Your Own Custom AI Assistants

Custom GPTs Fundamentals
THINK: Create Great GPTs (Part I)
THINK: Create Great GPTs (Part II)

Vanderbilt University: Prompt Engineering for ChatGPT

Course Introduction
Introduction to Prompts
Prompt Patterns I
Few-Shot Examples
Prompt Patterns II
Prompt Patterns III

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

3 course series
40 hours

Vanderbilt University: AI Agents and Agentic AI with Python & Generative AI

Agentic AI Concepts
AI Agents, Tools, Actions, & Language
GAME: A Conceptual Framework for AI Agents
Agent Tool Management
Rethinking how Software is bilt in the Age of AI Agents

Vanderbilt University: Prompt Engineering for ChatGPT

Course Introduction
Introduction to Prompts
Prompt Patterns I
Few-Shot Examples
Prompt Patterns II
Prompt Patterns III

Vanderbilt University: AI Agents and Agentic AI Architecture in Python

Extending AI Agents with Self-Prompting
Ai Agent Design Principles & Safey
Multi-Agent Systems
Dependency Injection for Tools
Approaches to Improving AI Agent Reasoning

Vanderbilt University: AI Agent Developer Specialization

6 course series
80 hours

Vanderbilt University: AI Agents and Agentic AI with Python & Generative AI

Agentic AI Concepts
AI Agents, Tools, Actions, & Language
GAME: A Conceptual Framework for AI Agents
Agent Tool Management
Rethinking how Software is bilt in the Age of AI Agents

Vanderbilt University: AI Agents and Agentic AI Architecture in Python

Extending AI Agents with Self-Prompting
Ai Agent Design Principles & Safey
Multi-Agent Systems
Dependency Injection for Tools
Approaches to Improving AI Agent Reasoning

Vanderbilt University: OpenAI GPTs: Creating Your Own Custom AI Assistants

Custom GPTs Fundamentals
THINK: Create Great GPTs (Part I)
THINK: Create Great GPTs (Part II)

Vanderbilt University: Prompt Engineering for ChatGPT

Course Introduction
Introduction to Prompts
Prompt Patterns I
Few-Shot Examples
Prompt Patterns II
Prompt Patterns III

Vanderbilt University: ChatGPT Advanced Data Analysis

Introduction to ChatGPT Advanced Data Analysis
Introduction to ChatGPT Advanced Data Analysis Use Cases
Tackle the Right Problems: Appropriate Use of ChatGPT Advanced Data Analysis
Human and AI Process Planning in ChatGPT Advanced Data Analysis
Error Identification Techniques, Error Handling, and Techniques for Large Documents and Outputs

Vanderbilt University: Trustworthy Generative AI

Trustworthy Generative AI

Michigan: Responsible Generative AI Specialization

4 course series
40 hours

Michigan: Generative AI: Fundamentals, Applications, and Challenges

Course Introduction
Use Cases of Generative AI
Responsible Generative AI Concepts

Michigan: Generative AI: Impact on Business and Society

Course Introduction
Informed Choices: Mitigating Generative AI Risks in Business
Generative AI’s Societal Impact: A Critical Overview

Michigan: Generative AI: Governance, Policy, and Emerging Regulation

Course Introduction
Strategic Alignment, Costa Analysis, and Stakeholder Mapping
Applying Responsible AI Principles to Generative AI Decisions

Michigan: Generative AI: Labor and the Future of Work

Course Introduction
Forecasting Labor Futures: Readiness and Implications

Kaist: Practical Python for AI Coding 1

Korean Advanced Institute of Science and Technology
Preparation for coding: Setting up AI coding environment
Basic concepts and rules of Python coding
Primitive data types
Control statements and iteration
Creating functions
Non-primitive data types: Lists and tules
Non-primitive data types: Dictionaries and sets

Anthropic Academy

3 divisions

Anthropic Academy: Build with Claude

Agents
Model Context Protocol
Claude Code
Tool Use
Extended Thinking
Retrieval Augmented Generation (RAG)
Prompt Engineering
Evaluations
Prompt Caching
Vision
Computer Use

Anthropic Academy: Claude for Work

Ways to use Claude
Artifacts
Projects
Tools & Integrations

Anthropic Academy: Claude for Personal

Artifacts
Projects
Tools and Integrations

IBM: AI Foundations for Business Specialisation

3 course series
40 hours

IBM: Introduction to Artificial Intelligence (AI)

Intro and applications
AI Concepts, Terminology, and Application Domains
Business and Career Transformation Through AI
Issues, Concerns, and Ethical Considerations

IBM: What is Data Science?

Defining Data Science and What Data Scientists Do
Data Science Topics
Applications and Careers in Data Science
Data literacy for Data Science (optional)

IBM: The AI Ladder: A Framework for Deploying AI in your Enterprise

Introduction to AI and the AI Ladder

IBM: Professional Certificate in Generative AI for Data Analysts

Explore practical use cases and popular gen AI models and tools for generating text, code, image, audio, and video. Learn how to effectively apply gen AI to data analysis and improve decision-making in real-world scenarios
3 course series
16~32 hours

IBM: Introduction to Generative AI

Introduction and Capabilities of Generative AI
Applications and Tools of Generative AI

IBM: Introduction to Prompt Engineering

Prompt Engineering for Generative AI
Prompt Engineering: Techniques and Approaches
(Optional): Text-to-Image Prompts and IBM watsonx

IBM: Mastering Generative AI for Data Analytics

Data Analytics and Generative AI
Use of Generative AI for Data Analytics
Case Study: Considerations While Using Generative AI in Healthcare

IBM: Generative AI for Data Analysts Specialisation

Real-world generative AI use cases and popular generative AI models and tools for text, code, image, audio, and video generation
3 course series
16 hours ##### IBM: Generative AI: Introduction and Applications
Introduction and Capabilities of Generative AI
Applications and Tools of Generative AI

IBM: Generative AI: Prompt Engineering Basics

Prompt Engineering for Generative AI
Prompt Engineering: Techniques and Approaches

IBM: Generative AI: Enhance your Data Analytics Career

Data Analytics and Generative AI
Use of Generative AI for Data Analytics

IBM: Generative AI for Project Managers Specialisation

Generative AI can improve the success rate of projects by around 25%.
3 course series
40 hours

IBM: Generative AI: Introduction and Applications

Introduction and Capabilities of Generative AI
Applications and Tools of Generative AI

IBM: Generative AI: Prompt Engineering Basics

Prompt Engineering for Generative AI
Prompt Engineering: Techniques and Approaches

IBM: Unleash your Project Management Potential

Project Management and Generative AI
Harnessing the Power of Generative AI

IBM: Generative AI for Product Managers Specialisation

(similar to above)

IBM: Generative AI for Software Developers Specialization

Software developers can leverage generative AI technology to write high-quality code with fewer bugs, which will increase their overall effectiveness and efficiency
3 course series
40 hours

IBM: Generative AI: Introduction and Applications

Introduction and Capabilities of Generative AI
Applications and Tools of Generative AI

IBM: Generative AI: Prompt Engineering Basics

Prompt Engineering for Generative AI
Prompt Engineering: Techniques and Approaches

IBM: Generative AI: Elevate your Software Development Career

Generative AI and Software Development
Generative AI for Software Development Workflows and its Considerations

IBM: Generative AI for Cybersecurity Professionals Specialisation

Learn how to distinguish generative AI from discriminative AI, explore real-world generative AI use cases and discover popular generative AI models and tools for text, code, image, audio, and videos.
3 course series
65 hours ##### IBM: Generative AI: Introduction and Applications
Introduction and Capabilities of Generative AI
Applications and Tools of Generative AI

IBM: Generative AI: Prompt Engineering Basics

Prompt Engineering for Generative AI
Prompt Engineering: Techniques and Approaches

IBM: Boost Your Cybersecurity Career

Get Started with Generative AI in Cybersecurity
SIEM and SOC Tasks Using Generative AI

IBM: Generative AI Engineering with LLMs Specialization

essential skills in Gen AI, large language models (LLMs), and natural language processing (NLP) employers need.
7 course series
52 hours

IBM: Generative AI and LLMs: Architecture and Data Preparation

Generative AI Architecture
Data Preparation for LLMs

IBM: Gen AI Foundational Models for NLP & Language Understanding

Fundamentals of Language Understanding
Word2Vec and Sequence-to-Sequence Models

IBM: Generative AI Language Modeling with Transformers

Fundamental Concepts of Transformer Architecture
Advanced Concepts of Transformer Architecture

IBM: Generative AI Engineering and Fine-Tuning Transformers

Transformers and Fine-Tuning
Parameter Efficient Fine-Tuning (PEFT)

IBM: Generative AI Advanced Fine-Tuning for LLMs

Different Approaches to Fine-Tuning
Fine-Tuning Causal LLMs with Human Feedback and Direct Preference

IBM: Fundamentals of AI Agents using RAG and LangChain

RAG Framework
Prompt Engineering and LangChain

IBM: Project: Generative AI Applications with RAG and LangChain

Document Loader using LangChain
RAG using LangChain
Create a QA Bot to Read Your Document

IBM: Applied AI Developer Professional Certificate

AI technologies, generative AI models, and build AI-powered chatbots and apps
7 courses
100+ hours

IBM: AI for Everyone: Master the Basics

Introduction and Applications of AI
AI Concepts, Terminology, and Application Domains
Business and Career Transformation Through AI
Issues, Concerns, and Ethical Considerations

IBM: Introduction to Generative AI

Introduction and Capabilities of Generative AI
Applications and Tools of Generative AI

IBM: Introduction to Prompt Engineering

Prompt Engineering for Generative AI
Prompt Engineering: Techniques and Approaches

IBM: Introduction to Web Development with HTML5, CSS3, and JavaScript

Introduction to Programming for the Cloud
HTML5 and CSS3 Overview
JavaScript Programming for Web Applications
HTML5 Elements

IBM: Python Basics for Data Science

Python Basics
Python Data Structures

IBM: Python for AI & Development Project

Python Coding Practices and Packaging Concepts
Web App Deployment using Flask
Creating AI Application and Deploy using Flask

IBM: Developing Generative AI Applications with Python

Image Captioning with Generative AI
Create Your Own ChatGPT-Like Website
Create a Voice Assistant
Generative AI-Powered Meeting Assistant
Module: Summarize Your Private Data with Generative AI
Babel Fish with LLM and STT TTS

IBM: AI Developer Professional Certificate

AI technologies, generative AI models, and build AI-powered chatbots and apps
10 course series
52~100+ hours

IBM: Introduction to Software Engineering

Software Development Lifecycle

IBM: Introduction to Artificial Intelligence (AI)

Introduction and Applications of AI
AI Concepts, Terminology, and Application Domains
Business and Career Transformation Through AI
Issues, Concerns, and Ethical Considerations

IBM: Generative AI: Introduction and Applications

Introduction and Capabilities of Generative AI
Applications and Tools of Generative AI

IBM: Generative AI: Prompt Engineering Basics

Prompt Engineering for Generative AI
Prompt Engineering: Techniques and Approaches

IBM: Introduction to HTML, CSS, & JavaScript

HTML Overview
CSS Overview & HTML5 Elements
JavaScript Programming for Web Applications
Career Opportunities and Final Project

IBM: Python for Data Science, AI & Development

Python Basics
Python Data Structures
Python Programming Fundamentals
Working with Data in Python
APIs and Data Collection

IBM: Developing AI Applications with Python and Flask

Python Coding Practices and Packaging Concepts
Web App Deployment using Flask
Creating AI Application and Deploy using Flask

IBM: Building Generative AI-Powered Applications with Python

Image Captioning with Generative AI
Create your own ChatGPT-like Web-site
Create a Voice Assistant
Generative AI-Powered Meeting Assistant
Summarise your Private Data with Generative AI and RAG
BabelFish (Universal Language Translator) with LLM and STT TTS
Build an AI Career Coach

IBM: Generative AI: Elevate your Software Development Career

Generative AI and Software Development
Generative AI for Software Development Workflows and its Considerations

IBM: Software Developer Career Guide and Interview Preparation

Building a Foundation
Applying and Preparing to Interview
Interviewing

IBM: Generative AI Fundamentals Specialisation

A comprehensive understanding of the fundamental concepts, models, tools, and applications of generative AI to enable you to leverage the potential of generative AI toward a better workplace, career, and life
5 course series
20 hours

IBM: Generative AI: Introduction and Applications

Introduction and Capabilities of Generative AI
Applications and Tools of Generative AI

IBM: Generative AI: Prompt Engineering Basics

Prompt Engineering for Generative AI
Prompt Engineering: Techniques and Approaches

IBM: Generative AI: Foundation Models and Platforms

Models for Generative AI
Platforms for Generative AI

IBM: Generative AI: Impact, Considerations, and Ethical Issues

Limitations and Ethical Issues of Generative AI
Social and Economic Impact and Responsible Generative AI

IBM: Generative AI: Business Transformation and Career Growth

Generative AI in Business: Trends, Ideas, and Implementation
Generative AI: Impact and Opportunities for Careers

IBM: Generative AI Engineering Professional Certificate

For aspiring gen AI engineers, AI developers, data scientists, machine learning engineers, and AI research engineers: essential skills in gen AI, large language models (LLMs), and natural language processing (NLP)
16 course series
100+ hours

IBM: Introduction to Artificial Intelligence (AI)

Intro and applications
AI Concepts, Terminology, and Application Domains
Business and Career Transformation Through AI
Issues, Concerns, and Ethical Considerations

IBM: Generative AI: Introduction and Applications

Introduction and Capabilities of Generative AI
Applications and Tools of Generative AI

IBM: Generative AI: Prompt Engineering Basics

Prompt Engineering for Generative AI
Prompt Engineering: Techniques and Approaches

IBM: Python for Data Science, AI & Development

Python Basics
Python Data Structures
Python Programming Fundamentals
Working with Data in Python
APIs and Data Collection

IBM: Developing AI Applications with Python and Flask

Python Coding Practices and Packaging Concepts
Web App Deployment using Flask
Creating AI Application and Deploy using Flask

IBM: Building Generative AI-Powered Applications with Python

Image Captioning with Generative AI
Create your own ChatGPT-like Web-site
Create a Voice Assistant
Generative AI-Powered Meeting Assistant
Summarise your Private Data with Generative AI and RAG
BabelFish (Universal Language Translator) with LLM and STT TTS
Build an AI Career Coach

IBM: Data Analysis with Python

Importing Data Sets
Data Wrangling
Exploratory Data Analysis
Model Development
Model Evaluation and Refinement

IBM: Machine Learning with Python

Introduction to Machine Learning
Data Linear and Logistic Regression
Building Supervised Learning Models
Building Unsupervised Learning Models
Evaluating and Validating Machine Learning Models

IBM: Introduction to Deep Learning & Neural Networks with Keras

Introduction to Deep Learning & Neural Networks
Basics of Deep Learning
Keras and Deep Learning Libraries
Deep Learning Models

IBM: Generative AI and LLMs: Architecture and Data Preparation

Generative AI Architecture
Data Preparation for LLMs

IBM: Gen AI Foundational Models for NLP & Language Understanding

Fundamentals of Language Understanding
Word2Vec and Sequence-to-Sequence Models

IBM: Generative AI Language Modeling with Transformers

Fundamental Concepts of Transformer Architecture
Advanced Concepts of Transformer Architecture

IBM: Generative AI Engineering and Fine-Tuning Transformers

Transformers and Fine-Tuning
Parameter Efficient Fine-Tuning (PEFT)

IBM: Generative AI Advanced Fine-Tuning for LLMs

Different Approaches to Fine-Tuning
Fine-Tuning Causal LLMs with Human Feedback and Direct Preference

IBM: Fundamentals of AI Agents using RAG and LangChain

RAG Framework
Prompt Engineering and LangChain

IBM: Project: Generative AI Applications with RAG and LangChain

Document Loader using LangChain
RAG using LangChain
Create a QA Bot to Read Your Document

IBM: AI Engineering Professional Certificate

For data scientists, machine learning engineers, software engineers, and other technical specialists looking to get job-ready as an AI engineer
13 course series
170 hours

IBM: Machine Learning with Python

Introduction to Machine Learning
Data Linear and Logistic Regression
Building Supervised Learning Models
Building Unsupervised Learning Models
Evaluating and Validating Machine Learning Models

IBM: Introduction to Deep Learning & Neural Networks with Keras

Introduction to Deep Learning & Neural Networks
Basics of Deep Learning
Keras and Deep Learning Libraries
Deep Learning Models

IBM: Deep Learning with Keras and Tensorflow

Advanced Kera Functionalities
Advanced CNNs in Keras
Transformers in Keras
Unsupervised Learning and Generative Models in Keras
Advanced Keras Techniques
Introduction to Reinforcement Learning with Keras
Final Project and Assignment

IBM: Introduction to Neural Networks and PyTorch

Tensor and Datasets
Linear Regression
Linear Regression the PyTorch Way
Multiple Input Output Linear Regression
Logistic Regression for Classification

IBM: Deep Learning with PyTorch

Logistic Regression Cross Entropy Loss
Softmax Regression
Shallow Neural Networks
Deep Networks
Convolutional Neural Networks

IBM: AI Capstone Project with Deep Learning

Loading Data

IBM: Generative AI and LLMs: Architecture and Data Preparation

Generative AI Architecture
Data Preparation for LLMs

IBM: Gen AI Foundational Models for NLP & Language Understanding

Fundamentals of Language Understanding
Word2Vec and Sequence-to-Sequence Models

IBM: Generative AI Language Modeling with Transformers

Fundamental Concepts of Transformer Architecture
Advanced Concepts of Transformer Architecture

IBM: Generative AI Engineering and Fine-Tuning Transformers

Transformers and Fine-Tuning
Parameter Efficient Fine-Tuning (PEFT)

IBM: Generative AI Advanced Fine-Tuning for LLMs

Different Approaches to Fine-Tuning
Fine-Tuning Causal LLMs with Human Feedback and Direct Preference

IBM: Fundamentals of AI Agents using RAG and LangChain

RAG Framework
Prompt Engineering and LangChain

IBM: Project: Generative AI Applications with RAG and LangChain

Document Loader using LangChain
RAG using LangChain
Create a QA Bot to Read Your Document

Packt: Introduction to AI Tools for Coders and Programmers📅 2025-05-04

Unlock the potential of AI tools to revolutionize your coding workflow in this comprehensive course designed for developers and programmers
Intermediate level
4 hours
Course Introduction
Introduction to ChatGPT
GitHub Copilot for Programmers
Introdcution to Tabnine
Introduction to SourceGraph

Packt: Harnessing Open Source LLMs and ChatGPT with Minimal Code📅 2025-05-04

A comprehensive guide to working with local large language models and ChatGPT, designed for technical professionals who want to explore these powerful tools without diving deep into coding
Beginner level
3 hours
Setting Up and Exploring Local LLMs
Advanced Usage and API Integrations

Packt: No-Code Machine Learning Using Amazon AWS SageMaker Canvas📅 2025-05-04

NB machine learning with Amazon AWS SageMaker Canvas, a no-code platform - not specifically Python
Beginner level
3 hours
Introduction to Machine Learning
Introduction to AWS
Introduction to SageMaker
Setup
SageMaker Canvas Interface Walkthrough
Project 1 - Banknote Authentication
Project 2 - Spam SMS Detection
Project 3 - Customer Churn Prediction
Project 4 - Wine Quality Predication
Assignment
Other Important Features in SageMaker Canvas
Congratulations and Next Steps

Arm Education: Introduction to AI📅 2025-04-27

Beginner level
93 hours
Introduction to AI
AI and Machine Learning
What’s in the Black Box? Deep Learning and Neural Networks
Training and Evaluating Models
Advanced Topics in AI
Ethics, Challenges, and the Future of AI

AWS: Generative AI with Large Language Models📅 2025-04-27

Intermediate level
16 hours
Generative AI use cases, project lifecycle, and model pre-training
Fine-tuning and evaluating large language models
Reinforcement learning and LLM-powered applications

AWS/DeepLearning.AI: Data Engineering Professional Certificate📅 2025-05-04

4 course series
Intermediate level
130 hours

AWS/DeepLearning.AI: Introduction to Data Engineering

Introduction to Data Engineering
The Data Engineering Lifecycle and Undercurrents
Data Architecture
Translating Requirements to Architecture

AWS/DeepLearning.AI: Source Systems, Data Ingestion, and Pipelines

Working with Source Systems
Data Ingestion
DataOps
Orchestration, Monitoring, and Automating Your Data Pipelines

AWS/DeepLearning.AI: Data Storage and Queries

Storage Ingredients and Storage Systems
Storage Abstractions
Queries

AWS/DeepLearning.AI: Data Modelling, Transformation, and Serving

Data Modelling and Transformations for Analytics
Data Modelling and Transformations for Machine Learning
Data Transformations and Technical Considerations
Serving Data

Board Infinity: Generative AI: Prompt Engineering Basics📅 2025-04-27

Beginner level
3 hours
Introduction to Generative AI and Core Concepts
Mastering Prompt Engineering for AI Optimisation

Board Infinity: Generative AI in Software Development📅 2025-04-27

Beginner level
3 hours
Foundations of Generative AI in Software Development
AI in Software Development

KodeKloud: Introduction to OpenAI📅 2025-04-27

Beginner level
7 hours
Introduction to AI
Text Generation
Features
Vision

GoogleCloud: GenAI: Navigate the Landscape📅 2025-04-27

Beginner level
2 hours
The GenAI landscape
Gen AI agents and applications
Gen AI platform to infrastructure
Where in the landscape

Microsoft: Use AI for Everyday Tasks📅 2025-04-27

Introductory
2 hours

H2O.ai University: Generative AI Starter Track📅 2025-04-27

Intermediate level
1 hour
Introduction to Generative AI
Essential Concepts for Effective AI Usage
Exploring h2oGPTe: Capabilities and Use Cases
Hands-on with Enterprise h2oGPTe
Advanced Customisation and API Access
Introduction to H2O.ai Agents

Scrimba: Generative AI for Web Development Specialisation📅 2025-04-27

3 course series
Intermediate level

Scrimba: Prompt Engineering for Web Developers

Prompt Engineering
AI Assisted Coding
Using AI Language Models for Job Search

Scrimba: Intro to Claude AI

Intro to Claude AI

Scrimba: Vibe Coding with Cursor AI

Introduction to CursorAI
AI-Powered Development in Cursor
Debugging and Iteration with AI
Advanced Cursor Features
Modern Context Protocol (MCP)

Kaggle/Google: 5-Day Gen AI Intensive Course with Google Learn Guide

a live event from March 31-April 4, 2025, made into a self-paced learning guide about the fundamental technologies and techniques behind Generative AI.
Foundational Models & Prompt Engineering
Embeddings and Vector Stores/Databases
Generative AI Agents
Domain-Specific LLMs
MLOps for Generative AI

Google: Introduction to Generative AI Learning Path Specialization

A comprehensive introduction to generative AI which explores the foundations of large language models (LLMs), their diverse applications, and the ethical considerations crucial for responsible AI development and deployment.
4 course series
40 hours

Google: Introduction to Generative AI

Introduction to Generative AI

Google: Introduction to Large Language Models

Introduction to Large Language Models

Google: Introduction to Responsible AI

Introduction to Responsible AI

Google: Responsible AI: Applying AI Principles with Google Cloud

Introduction
The business case for Responsible AI
AI’s Technical Considerations and Ethical Concerns
Creating AI Principles
Operationalising AI Principles: Setting Up and Running Reviews
Operationalising AI Principles: Issue Spotting and Lessons Learned
Continuing the Journey Towards Responsible AI

Google: Machine Learning on Google Cloud Specialization📅 2025-05-03

What is machine learning, and what kinds of problems can it solve? How can you build, train, and deploy machine learning models at scale without writing a single line of code? When should you use automated machine learning or custom training?
5 course series
Intermediate level
80 hours

Google: How Google does Machine Learning

Introduction
What it means to be AI-First
How Google does ML
Machine Learning Development with Vertex AI
Machine Learning Development with Vertex Notebooks
Best Practices for Implementing Machine Learning on Vertex AI
Responsible AI Development

Google: Launching into Machine Learning

Get to know your data: Improve data through Exploratory Data Analysis
Machine Learning in Practice
Training AutoML Models using VertexAI
BigQuery Machine Learning: Develop ML Models where your data lives
Optimisation
Generalisation and Sampling

Google: Build, Train and Deploy ML Models with Keras on Google Cloud

Introduction to the TensorFlow Ecosystem
Design and Build an Input Data Pipeline
Building Neural Networks with the TensorFlow and Keras API
Training at Scale with VertexAI

Google: Feature Engineering

Introduction to VertexAI Feature Store
Raw data to features
Feature Engineering
Preprocessing and Feature Creation
Feature Crosses - TensorFlow Playground
Introduction to TensorFlow Transform

Google: Machine Learning in the Enterprise

Understanding the ML Enterprise Workflow
Data in the Enterprise
Science of Machine Learning and Custom Training
Vertex Vizier Hyperparameter Tuning
Prediction and Model Monitoring Using VertexAI
VertexAI Pipelines
Best Practices for ML Development
Course and Series Summaries