Seize the Future Today with AI!

The Fundamentals of Artificial Intelligence micro-credential programme equips participants with essential AI knowledge and practical skills, enabling them to harness the potential of AI across various industries. Covering machine learning algorithms, ethical considerations, and real-world applications, this programme ensures participants are well-prepared to solve contemporary challenges with AI solutions. By exploring use cases in healthcare, finance, and customer service, students gain the expertise needed to thrive in the AI-driven future.

Why Choose This Qualification?

Covers essential AI concepts, machine learning, and practical AI applications. Real-world projects to build and test AI models using advanced tools. Contact, blended, and distance learning options tailored to suit diverse participants. Aligned with current trends and tools in AI to ensure job-market readiness. Access to expert academic guidance, tutoring, and career counselling.

Admission Requirements.

Not explicitly mentioned in the document

Qualification Structure.

Week 1: AI Concepts and Terminology - Fundamentals of Artificial Intelligence, including key concepts, terminologies, and history. Week 2: Machine Learning Algorithms - Introduction to machine learning, supervised/unsupervised learning, and basic algorithms. Week 3: AI Application Areas - Exploring real-world applications of AI in industries such as healthcare, finance, and marketing. Week 4: Ethical Considerations in AI - Understanding ethical frameworks, biases, and responsible AI practices. Week 5: Implementing AI Solutions - Hands-on projects to design, build, and test AI-based solutions using industry tools. Week 6: Assessment and Certification - Final Project Submission, Feedback, and Certification.

Learning Outcomes.

Gain a fundamental understanding of AI concepts, terminologies, and applications. Develop basic proficiency in machine learning and neural network models. Identify and analyse ethical considerations in AI deployment. Build and implement AI models for real-world problem-solving. Understand the potential of AI in transforming industries and improving decision-making processes.

International Comparability.

Not explicitly mentioned in the document

Qualification Modes of Delivery and Support.

Blended Learning: Combines online modules with in-person practical sessions. Distance Learning: Fully online with asynchronous support. Face-to-face Workshop sessions for personalised mentorship and peer interaction.

Career Opportunities.

AI Support Specialist, Data Analyst Assistant, Junior Machine Learning Associate, AI Ethics Consultant.

Articulation Options.

Not explicitly mentioned in the document

Ensure Compliance, Empower Financial Accuracy.

Empower Financial Accuracy