The History of AI
Early ideas, the emergence of AI, expert systems, AI winters, machine learning, deep learning and generative AI.
Program at a glance
Flexible durationAdapted to each group
English & ArabicGuided instruction and practice
Applied learningYARA · SOSME Business Education Platform
Certificate of completionFollowing successful assessment
Who it is for
Students, professionals, entrepreneurs and teams seeking practical AI literacy. No programming background is required.
Learning objectives
- Explain how AI evolved and distinguish models, assistants and agents.
- Recognize limitations, bias, confidentiality risks and the need for human accountability.
- Give clear instructions, provide context and verify outputs against reliable sources.
- Use available YARA capabilities in a supervised business scenario and evaluate the value created.
Program structure
Understanding AI Today
Key terminology, how models learn, generative AI, assistants and agents; capabilities and limitations.
Responsible AI Use
Privacy, confidentiality, bias, inaccurate answers, source verification and human accountability.
Communicating with AI
Clear instructions, relevant context, requested formats and iterative improvement.
Apply with YARA
Guided practice with OCR, tasks and approvals, business briefing and DO capabilities, according to available features.
Practical Project
Complete a realistic task, verify the output and explain the value created.
Training method
A concise, engaging introduction to AI history leads into demonstrations, guided exercises and practical work. Most learning time focuses on application. Duration and weekly hours are agreed for each group; exercises use sample or anonymized data.
Apply with YARA
One connected business scenario: extract information from a document with OCR, review its accuracy, prepare a business briefing, identify required tasks, then perform an available action with appropriate human approval. Participants use the SOSME Business Education Platform and YARA in a supervised learning environment.
Practical project & assessment
Participants submit their document review, briefing, task plan and verified output. Assessment considers accuracy, responsible data handling, instruction quality, verification and the value created—not simply whether AI produced an answer.
Completion
Successful participants receive a Reflexion Academy Certificate of Completion following assessment. Delivery is available in English and Arabic.
Discuss your learning pathway
Contact us to discuss your group, learning objectives and schedule.
Contact Academy →academy@reflexiongroup.co