12 AI Development Courses to Take in 2024
The world of AI development is advancing at breakneck speed, leaving even seasoned technical leaders grappling with new tools, frameworks, and best practices. Whether it’s figuring out how to scale a machine learning model without spiraling infrastructure costs, navigating ethical concerns like bias, or integrating AI seamlessly into existing systems, the challenges are both complex and relentless. If you’ve ever felt like the AI space is evolving faster than your team can keep up, you’re not alone.
That’s where targeted, high-impact learning comes in. The right courses don’t just teach theory—they tackle the real-world problems AI developers face, offering actionable insights and hands-on experience with cutting-edge technologies.
From scaling neural networks to understanding advanced frameworks like PyTorch and TensorFlow, the courses in this list are designed to equip technical leaders with the skills they need to build innovative, robust AI solutions.
Best AI Development Courses Shortlist
Here's a shortlist of the best AI development courses I think are worth your time in 2024:
- Machine Learning and AI with Python (Harvard University)
- Prompt Engineering and Advanced ChatGPT (edX)
- Working with the OpenAI API (DataCamp)
- Digital Skills: Artificial Intelligence (FutureLearn)
- Artificial Intelligence For Development (ITCILO)
- Artificial Intelligence Foundations: Machine Learning (LinkedIn Learning)
- Developing AI Models in Microsoft Azure (Pluralsight)
- Developing AI Strategy (RMIT University)
- Introduction to Artificial Intelligence (TAFE NSW)
- ChatGPT Prompt Engineering for Developers (DeepLearning.AI)
- Artificial Intelligence Software Development (Algonquin College)
- Developing Artificial Intelligence Applications (University of Oxford)
Find more details about each course below.
Overview of the Best AI Development Courses
1. Machine Learning and AI with Python (Harvard University)
This course provides a comprehensive introduction to machine learning and artificial intelligence using Python. Participants will learn how to apply various machine learning algorithms to real-world problems and develop AI models using Python libraries. The course focuses on hands-on experience with data-driven solutions.
- Who It’s For: Aspiring data scientists, software developers, and AI enthusiasts
- Topics Covered:
- Fundamentals of machine learning
- Python programming
- AI system development
- Data pre-processing and feature selection
- Online, In-Person, or Both? Online
- Exam Required? No
- Duration: 6 weeks
- How Many Hours Of Instruction: 4 to 5 hours per week
- Eligibility Requirements: Basic programming knowledge - Python and statistics experience
- Price: Free with optional upgrade available
- Take The Course: edX
2. Prompt Engineering and Advanced ChatGPT (edX)
This course dives into advanced techniques for leveraging ChatGPT and optimizing prompt engineering for better AI interaction. Participants will learn how to craft effective prompts to enhance AI responses and tailor the outputs to fit specific use cases. The course provides hands-on strategies for mastering the intricacies of working with ChatGPT.
- Who It’s For: AI developers, content creators, and tech professionals
- Topics Covered:
- Optimizing prompt creation
- Advanced ChatGPT configurations
- Tailoring AI outputs for specific use cases
- Enhancing conversational AI responses
- Practical applications of prompt engineering
- Online, In-Person, or Both? Online
- Exam Required? No
- Duration: 1 week
- How Many Hours Of Instruction: 1 to 2 hours per week
- Eligibility Requirements: None
- Price: Free with optional upgrade available
- Take The Course: edX
3. Working with the OpenAI API (DataCamp)
This course teaches participants how to interact with the OpenAI API, providing practical guidance on integrating it into applications. Users will learn how to build intelligent systems using OpenAI models, gaining insights into automating tasks and enhancing applications with AI capabilities.
- Who It’s For: Developers, data scientists, and AI enthusiasts
- Topics Covered:
- Accessing and using the OpenAI API
- Creating intelligent applications with OpenAI models
- Task automation using AI
- Integrating AI features into software solutions
- API configuration and customization
- Online, In-Person, or Both? Online
- Exam Required? No
- Duration: 3 hours
- How Many Hours Of Instruction: Self-paced
- Eligibility Requirements: Intermediate Python
- Price: Free
- Take The Course: DataCamp
4. Digital Skills: Artificial Intelligence (FutureLearn)
This course provides an introduction to the fundamentals of artificial intelligence, exploring how AI is transforming industries and everyday life. Participants will learn the basic concepts of AI and how it can be applied in various fields, focusing on real-world applications and future potential.
- Who It’s For: Professionals, students, and individuals looking to understand AI basics
- Topics Covered:
- Introduction to AI concepts
- Applications of AI in different industries
- Ethical implications of AI
- AI trends and future developments
- Online, In-Person, or Both? Online
- Exam Required? No
- Duration: 3 weeks
- How Many Hours Of Instruction: 2 hours per week
- Eligibility Requirements: None
- Price: Free
- Take The Course: FutureLearn
5. Artificial Intelligence For Development (ITCILO)
This course offers a comprehensive exploration of how artificial intelligence can be leveraged to support sustainable development. It provides insights into applying AI technologies in various sectors to drive economic growth, improve public services, and address social challenges, all with a focus on development goals.
- Who It’s For: Policymakers, development professionals, and technologists
- Topics Covered:
- AI applications for sustainable development
- Ethical use of AI in development
- AI's impact on labor markets and governance
- AI-driven solutions for public services
- AI for economic and social development
- Online, In-Person, or Both? Online
- Exam Required? No
- Duration: 3 months
- How Many Hours Of Instruction: Self-paced
- Eligibility Requirements: None
- Take The Course: ITCILO
6. Artificial Intelligence Foundations: Machine Learning (LinkedIn Learning)
This course offers a detailed analysis of the essential processes involved in creating and implementing machine learning models. This artificial intelligence course guides participants through the steps required to build predictive models, emphasizing practical application and hands-on experience with industry-standard tools.
- Who It’s For: Data enthusiasts, software developers, and business analysts
- Topics Covered:
- Introduction to machine learning principles
- Types of algorithms and their use cases
- Model development and evaluation
- Applying machine learning in real-world scenarios
- Tools for building machine learning models
- Online, In-Person, or Both? Online
- Exam Required? No
- Duration: 1 hour and 50 minutes
- How Many Hours Of Instruction: Self-paced
- Eligibility Requirements: None
- Take The Course: LinkedIn Learning
7. Developing AI Models in Microsoft Azure (Pluralsight)
This course provides in-depth training on building artificial intelligence models using Microsoft Azure's suite of AI services. Participants will learn how to develop, train, and deploy machine learning models, making use of Azure’s scalable infrastructure. The course is focused on practical, hands-on experience for integrating AI into real-world applications.
- Who It’s For: Data scientists, AI engineers, and developers
- Topics Covered:
- Building and training AI models
- Deploying AI solutions in Azure
- Using Azure’s machine learning tools
- Managing and scaling AI models
- Best practices for AI model development
- Online, In-Person, or Both? Online
- Exam Required? No
- Duration: 1 hour and 30 minutes
- How Many Hours Of Instruction: Self-paced
- Eligibility Requirements: None
- Price: $29 per month after free 10-day trial
- Take The Course: Pluralsight
8. Developing AI Strategy (RMIT University)
This course focuses on equipping participants with the skills needed to design and implement AI strategies tailored to their organizations. This online course covers the critical steps of evaluating an organization's capacity for AI and integrating technologies to maximize business impact while ensuring alignment with strategic goals.
- Who It’s For: Executives, business strategists, and IT professionals
- Topics Covered:
- Conducting AI readiness assessments
- Defining AI objectives aligned with business goals
- Structuring AI implementation plans
- Developing risk management and governance policies for AI
- Tracking AI performance and outcomes
- Online, In-Person, or Both? Online
- Exam Required? No
- Duration: 6 weeks
- How Many Hours Of Instruction: 5 to 8 hours per week
- Eligibility Requirements:
- Basic knowledge of algebra
- Basic knowledge of calculus
- Basic programming skills
- Price: $1,600
- Take The Course: RMIT Online
9. Introduction to Artificial Intelligence (TAFE NSW)
This course guides participants through creating a comprehensive AI strategy tailored to their organization's needs. It covers the essentials of aligning AI initiatives with business goals and explores the tools necessary for evaluating AI readiness. The program focuses on building practical skills for integrating AI effectively within a business framework.
- Who It’s For: Business leaders, strategists, and technology professionals
- Topics Covered:
- Developing AI implementation plans
- Risk management and governance in AI projects
- Measuring the impact and performance of AI strategies
- Online, In-Person, or Both? Online
- Exam Required? No
- Duration: 2 hours and 30 minutes
- How Many Hours Of Instruction: Self-paced
- Eligibility Requirements: None
- Price: $140
- Take The Course: TAFE NSW
10. ChatGPT Prompt Engineering for Developers (DeepLearning.AI)
This course provides developers with specialized training on how to design and optimize prompts for ChatGPT models. It emphasizes practical strategies to effectively guide AI behavior and generate desired outputs. Participants will gain hands-on experience in integrating prompt engineering techniques into their applications.
- Who It’s For: Software developers, AI engineers, and tech professionals
- Topics Covered:
- Prompt design techniques
- Output optimization
- AI behavior customization
- Application integration
- Best practices
- Online, In-Person, or Both? Online
- Exam Required? No
- Duration: 1 and 30 minutes
- How Many Hours Of Instruction: Self-paced
- Eligibility Requirements: None
- Price: Free
- Take The Course: DeepLearning.AI
11. Artificial Intelligence Software Development (Algonquin College)
This course offers hands-on training in building and implementing AI software solutions. Participants will learn how to develop AI models and integrate them into software applications, focusing on practical tools and techniques. The program emphasizes real-world applications to prepare students for careers in AI software development.
- Who It’s For: Aspiring AI developers, software engineers, and IT professionals
- Topics Covered:
- AI model development
- Software integration
- Machine learning basics
- Data processing
- Deployment strategies
- Online, In-Person, or Both? In-person
- Exam Required? Yes
- Eligibility Requirements:
- Ontario College Diploma, Ontario College Advanced Diploma, Degree or equivalent in Computer Science
- Completion of at least one introductory Calculus course from a recognized university or college
- Applicants with international transcripts must provide proof of the subject-specific requirements
- Domestic applicants with international transcripts must be evaluated through ICAS or WES
- IELTS-International English Language Testing Service (Academic) Overall band of 6.5 with a minimum of 6.0 in each band
- TOEFL-Internet-based (iBT)-overall 88
- Price: Prices vary accordingly
- Take The Course: Algonquin College
12. Developing Artificial Intelligence Applications (University of Oxford)
This course provides comprehensive instruction on building AI applications, focusing on the entire development lifecycle from planning to deployment. Participants will gain hands-on experience with AI tools and methodologies, emphasizing best practices for creating effective and efficient AI solutions. This AI course aims to equip learners with practical skills for real-world application development.
- Who It’s For: Experienced developers and engineers
- Topics Covered:
- AI application development
- Model design
- Data integration
- Deployment techniques
- Performance optimization
- Online, In-Person, or Both? Online
- Exam Required? No
- Duration: 6 weeks
- How Many Hours Of Instruction: 8 to 12 hours per week
- Eligibility Requirements: None
- Price: £1250.00
- Take The Course: University of Oxford
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