AI and Machine Learning Fundamentals
Understand how AI and machine learning really work, well enough to speak credibly with engineers and choose the right solution.
- Length
- About 20 hours: 11.5 of lessons, 8.5 hands-on
- Modules
- 6
- Lessons
- 27
- Certificate
- TIBLOGICS Certified: AI and Machine Learning Fundamentals
About 7 weeks at 3 hours a week
What you'll be able to do
- Explain how machines learn, distinguish the main kinds of learning, and frame a business problem as a machine learning task, or recognise when it should not be one
- Assess data for quality and bias, and explain splitting, overfitting and the common model types in plain terms
- Choose and interpret evaluation metrics for classification, regression and generative AI, and tie them to business outcomes
- Explain tokens, transformers, embeddings, retrieval-augmented generation, hallucination and agents
- Choose a foundation model, decide between prompting, retrieval and fine-tuning, estimate running cost and plan a monitored launch with a human in the loop
- Assess an AI system for fairness, privacy and security risks, and outline proportionate governance using risk tiers and recognised frameworks
About this track
Most people who work with AI have never been shown how it actually works. This track gives you a solid, vendor-neutral technical foundation without asking you to write code. You will learn how machines learn from data, what makes data fit for a model, how the common model types work in plain terms, and how to recognise vision, language, speech and document workloads. You will learn to read an evaluation properly: precision and recall, thresholds, error measures, and how to evaluate generative AI with test sets, rubrics and checked model judges. You will look inside foundation models (tokens, transformers, embeddings, retrieval-augmented generation, agents) and learn to apply them: choosing a model, deciding between prompting, retrieval and fine-tuning, understanding the main fine-tuning methods, inference settings and text-scoring measures, estimating cost, and launching with monitoring and a real human in the loop. The final module covers fairness, privacy, security and governance, including risk-based regulation and recognised frameworks. Skills this track builds also appear in entry-level cloud AI practitioner and AI fundamentals certifications. This track is independent: it is not affiliated with any vendor and is not official exam preparation. Lessons include small interactive demos you can edit, prompts you run on the page and Studio tools. Labs are done on the platform. The capstone is an AI solution proposal for a real problem in your own organisation, reviewed by a person.
Who it's for: Professionals, analysts, managers and aspiring builders who want a solid technical foundation in how AI and machine learning work: enough to speak credibly with engineers, choose solutions, and prepare for entry-level cloud AI certifications. No coding required.
Key takeaways
- AI and Machine Learning Fundamentals is a self-paced online course from ARFA, the TIBLOGICS AI Academy, at intermediate level.
- About 20 hours: 6 modules and 27 lessons, with hands-on practice.
- $487 once for lifetime access to this track, or every track for $89 a month.
- Certificate: TIBLOGICS Certified: AI and Machine Learning Fundamentals, with a public verification link.
- Available in English and French.
Curriculum
6 modules · 27 lessons · About 20 hours: 11.5 of lessons, 8.5 hands-on
Separate AI, machine learning and deep learning; understand supervised, unsupervised and reinforcement learning; learn the vocabulary of features, labels, training and inference; and follow the machine learning lifecycle from data to monitoring.
- 1.1AI, machine learning and deep learningFree previewDistinguish artificial intelligence, machine learning, deep learning and generative AI, and explain how a learned system differs from one built from hand-written rules.24 min
- 1.2Supervised, unsupervised and reinforcement learningClassify a business problem as supervised, unsupervised or reinforcement learning, and explain what kind of data each one needs.25 min
- 1.3Features, labels, training and inferenceIdentify the features and label in a prediction problem, and explain the difference between training a model and using it for inference.24 min
- 1.4The machine learning lifecycleMap the machine learning lifecycle from problem framing to monitoring, and explain why it is a loop rather than a straight line.25 min
Module quiz: 80% to pass, unlimited retakes
Choose your plan
Own this track
AI and Machine Learning Fundamentals
$487one time
Pay once and keep lifetime access to this track: every lesson, lab and quiz, the final exam and the certificate.
Buy this track ($487 once)All tracks
every track included
$89/month
Every track, current and future, with all assessments and certificates. Cancel anytime.
Get all tracks for $89/monthSecure checkout by Stripe. A track you buy is yours for life; the subscription can be cancelled anytime from your account.
How you're assessed
Four gates stand between you and the certificate. All four must be cleared.
- 1
Quick checks after every lesson
2 to 3 questions, instant feedback with an explanation. These keep you honest as you go.
- 2
A quiz at the end of every module
8 questions drawn from a larger bank, 80% to pass. Unlimited retakes with a different set each time.
- 3
AI and Machine Learning Fundamentals: Final Exam
35 questions in 1 hr. 75% to pass, 90%+ earns Distinction. Up to 3 attempts, each with fresh questions. The clock runs on our server, so closing your laptop doesn't stop it.
- 4
Capstone project, reviewed by a human
A practical project scored against a published rubric, 70% to pass. A real reviewer reads it and writes you feedback.
Questions
Do I need any background to take this?
This track is pitched at Intermediate level. Professionals, analysts, managers and aspiring builders who want a solid technical foundation in how AI and machine learning work: enough to speak credibly with engineers, choose solutions, and prepare for entry-level cloud AI certifications. No coding required.
How long will it actually take?
About 20 hours: 11.5 of lessons, 8.5 hands-on. About 7 weeks at 3 hours a week. There's no deadline: the pace is yours.
What happens if I fail the final exam?
You get 3 attempts, with a short cooldown between them so you have time to review. Each attempt draws a fresh set of questions, and your results break down by module so you know exactly what to revisit.
Is the certificate actually worth anything?
That depends entirely on whether it's hard to get, so we made it hard. You must pass every module quiz, clear a timed final exam, and have a capstone project approved by a human reviewer against a published rubric. Each certificate carries a public verification link anyone can check.
Is this course available in French?
Yes. The track is offered in English and French; choose your language with the language switcher at the bottom of the page.
What does it cost?
Two options. Own this track for $487 one time, with lifetime access. Or subscribe for $89/month and get every track on the platform, not just this one; cancel anytime.
AI and Machine Learning Fundamentals
Own this track: $487 one time, lifetime access · or all tracks for $89/month