AI at Work: Creating & Innovating Work Processes

All our courses are 100% teacher-led by our authorized instructors and include certification exams.
Getting certified, you can also have the possibility to join Be Licensed’s recruitment portal.

Course Overview

This course provides a comprehensive understanding of AI in participants’ work processes, its technical foundations, and practical applications. Students learn about machine learning, generative AI methods such as language models (LLM) and Generative Adversarial Networks (GAN), as well as principles of Natural Language Processing (NLP). The focus is on AI-driven techniques for generating text, images, video, and audio, and how these can streamline and automate tasks.

The course highlights important aspects of prompt engineering, fine-tuning AI models, and how AI can be adapted for different industries. Students also gain insight into risks such as bias and misinformation, along with the legal and ethical challenges in AI, including copyright and data protection.

Practical skills include using AI for text generation, code improvement, image and video editing, and audio manipulation. Participants learn to implement machine learning, analyze AI-generated results, and apply regulations in professional contexts. They also receive training in developing AI strategies to streamline workflows and decision-making across various operations.

Upon completion of the course, participants can independently design and optimize AI prompts, ensure the quality and relevance of AI-generated content, and integrate AI solutions into workflows. They can also participate in AI-driven projects and contribute to strategic decisions on AI implementation within organizations.

Course Knowledge

Basic AI concepts and terminology.
Theoretical foundations of machine learning, such as supervised, unsupervised, and reinforcement learning.
Generative AI methods, such as Generative Adversarial Networks (GAN), Variational Autoencoders (VAE), and language models (LLM) like GPT.
Principles of Natural Language Processing (NLP) and its areas of application.
AI-powered methods for generating text, images, video, and audio.
Prompt engineering and its impact on AI model performance and outcomes.
Fine-tuning and adapting AI models for different industries and applications.
Risks of AI, including bias, hallucinations, misinformation, and security challenges.
Ethical and legal aspects of AI, including copyright, data protection, and responsibility.
Implementation of AI in various industries and how AI is transforming the labor market.

Course Skills

Use and optimize AI tools for text generation, including language models (LLM) and chatbots.
Generate, debug, and refactor code using AI-powered tools.
Create and edit images and videos using AI-generated techniques.
Produce and manipulate audio with AI-powered tools and techniques.
Implement machine learning, including supervised, unsupervised, and reinforcement learning, in practical contexts.
Identify and manage AI-related risks, including bias, misinformation, and security challenges.
Analyze and apply ethical principles when using AI in professional contexts.
Interpret and apply regulations and copyright guidelines in AI usage.
Develop and implement AI strategies to streamline workflows in an organization.
Participate in AI-driven projects, analyze results, and optimize AI solutions for practical use.

Course Competense

Apply AI tools in compliance with current legislation, copyright, and ethical guidelines.
Independently integrate AI solutions into workflows to streamline processes and improve decision-making.
Critically review and evaluate AI-generated results and ensure quality and relevance in various contexts.
Oversee and participate in AI-driven projects and contribute to strategic decisions on AI implementation within organizations.

Prerequisites:

Number of yh credits: 10 yhp

Mode of instruction: Distance learning

Study pace: 50% (the course is 4 weeks half-time)

Language of instruction: Swedish and English in different starts

Entry requirements: At least 6 months of work experience in a professional field is required. Experience in digital tasks, such as administrative processes or data-driven workflows, would be an advantage. Experience in problem solving, information gathering and analysis is also advantageous. Corresponding experience may be considered as equivalent.

Selection criteria: Grades, Professional experience, Special test

CSN eligible: Yes

Price: Free

Contact: nina@be-licensed.com

The start of the programme will be announced after the Swedish Higher Vocational Education Authority has made a decision, which will be after 24 June.

What is included in the price?

Fully led by an authorized instructor.

All materials needed to complete the course are included in the course fee. This includes course literature, exercise assignments and fees for the certification exam.

The course is held remotely in a virtual classroom. All lectures are recorded and are available as reference material for two weeks after course completion.