AI continues to transform industries, and preparing yourself with the right skills has never been more important. From developing foundational knowledge to understanding advanced AI tools, learning opportunities abound for those looking to adapt to this evolving technology.

Whether you’re a leader aiming to integrate AI strategically, a creative professional eager to streamline content creation, or someone simply interested in exploring AI’s potential, there are courses designed to match any number of career paths and expertise levels.

Staying informed on AI’s ethical considerations, mastering AI-specific tools, and learning how to navigate the shifting job landscape are key to personal and business success in this new era.

Embracing these learning opportunities can help you or your organisation innovate, make informed decisions, and keep pace with the rapid changes AI brings to the workplace. Here are a couple of online AI courses that you can take:

Prompt Engineering+: Master Speaking to AI

‘Prompt engineering’ is the structuring of instructions for generative AI models, with practitioners serving as an interface between human intent and machine response. Success in this field requires understanding models’ architecture, training data, tokenisation, and available, tune-able parameters. Essential skills for prompt engineers include natural language processing, proficiency with AI models like ChatGPT, Google Gemini, and DALL-E, analytical skills, and Python programming.

Prompt Engineering+: Master Speaking to AI prepares learners to create effective prompts for diverse AI applications. The course covers prompt structure, one-shot, few-shot, and zero-shot learning, and best practices to enhance problem-solving and decision-making. Students gain insight into prompt engineering’s role in industry, the skills needed to tackle challenges like AI inaccuracies, and ways to control model output for safe deployment. Equipped with practical experience, learners are ready to enter this emerging field confidently.

What you’ll learn:

• Fundamentals and advanced techniques in prompt engineering,
• Lifecycle skills for prompt refinement and deployment, and many more.

Generative AI for Leaders

Generative AI presents both opportunity and challenge. Its rapid advancements push business leaders to act quickly, yet uncertainties and organisational constraints can cause hesitation, even at the highest level. Although 43% of CEOs have started investing in AI with 45% planning to do so soon, most focus on quick efficiency gains rather than transformative initiatives. Currently, 90% of organisations remain at early AI maturity stages, with deployments limited to proofs-of-concept or small-scale projects.

Who should take this course?

Business leaders, executives, managers, team leaders, technology decision-makers, and professionals interested in digital transformation.

What you will learn:

• How to leverage AI for business innovation and efficiency,
• Strategies for building and executing an AI-driven business strategy,
• Fostering a culture that supports AI adoption and collaboration,
• Ethical and legal considerations, including addressing AI bias and compliance,
• Insights into the latest AI trends and preparing your organisation for the future.

Canva AI: Master Canva AI Tools and Apps 2024

This course introduces Canva’s AI tools to simplify and enhance content creation. Participants will explore how Canva AI supports efficient design for projects like social media posts, videos, PDFs, and presentations. With practical guidance on Canva’s Magic Studio, the course delves into creating speaking avatars and converting text to images. By the end, learners will have hands-on experience and the skills to produce a wide variety of content quickly and effectively.

What you’ll learn:

• How use Canva AI in projects, including materials for social media posts, videos, PDFs, and presentations.
• Use of Canva AI Magic Studio to enhance results and simplify content creation.
• Exploration of Canva’s top AI applications, such as creating speaking avatars and text-to-image transformations.
• Techniques to produce 100+ social media posts in minutes, boosting content creation efficiency.
• Hands-on experience through interactive projects at the end of each section.

Artificial Intelligence: Preparing Your Career for AI

As AI becomes integral to business strategies, organisations must rethink hiring, training, and upskilling. Generative AI is expected to reshape workflows, redefine roles, and shift skill demands. The question isn’t if AI will replace jobs, but rather which skills it will affect and how organisations can refocus human priorities.

In this free course, you’ll learn five steps to prepare your career for the AI-centric workplace:

• Educate yourself on AI fundamentals,
• Align your career path with AI advancements,
• Invest thoughtfully in an AI-first economy,
• Use AI responsibly and ethically,
• Adapt to continuous AI-driven changes.

The future will favour those who engage with AI proactively—take the steps now to stay ahead!

Who this course is for:

Ideal for beginners and general audiences interested in understanding AI’s impact on careers.

Business Analyst: Digital Director for AI and Data Science

Staying current with trends like AI and Big Data is crucial for those defining requirements for digital solutions. In AI projects, the process of requirements elicitation and analysis is as essential as in any initiative, with success based on collaboration between business stakeholders and technical experts, the latter including data scientists and machine learning engineers.

Business analysts are important in ensuring new technologies add business value by guiding and specifying data needs. As AI advances, they act as support for data science by clarifying what information is essential to generate accurate models.

What you’ll learn:

• The role of business analysts in implementing AI solutions,
• Techniques for requirements elicitation in conversational user experiences,
• Differences between NLU and rule-based bots,
• Basics of conversation flow analysis and design.

Who this course is for:

Ideal for professionals involved in requirements for Data Science, Machine Learning, or AI projects, including Business Analysts, Systems Analysts, Product Owners, Managers, and Executives.

Want to learn more about AI and big data from industry leaders? Check out AI & Big Data Expo taking place in Amsterdam, California, and London. The comprehensive event is co-located with other leading events including Intelligent Automation Conference, BlockX, Digital Transformation Week, and Cyber Security & Cloud Expo.

Explore other upcoming enterprise technology events and webinars powered by TechForge here.