AI for Engineering & Research explains what current AI systems can and cannot do, then applies them to technical work: literature exploration, document analysis, coding, data interpretation, experiment planning and structured review.
Core topics
- Machine-learning and neural-network foundations.
- Language models, tokens, context and retrieval.
- Tool use and agent-style workflows.
- Document question answering and source-grounded retrieval.
- Code generation, testing and review.
- Hallucination, uncertainty and verification.
- Scientific provenance, citations and reproducibility.
- Privacy, safety, bias and responsible use.
Product names may appear as current examples, but no lesson treats a vendor UI, subscription limit or model name as an evergreen fact.
FermiLabs course review brief
Learning objective:Use AI models as inspectable engineering tools rather than opaque answers.
Content update:Reconcile the 57-lesson source mismatch, pin tool/model versions and add bias and verification labs.
Suggested activity:Evaluate one model-assisted result against a reproducible baseline.
Evidence to produce:Prompt/configuration, baseline, output checks and limitations.
Review status:Draft editorial integration; verify source curriculum ownership before public promotion.
Curriculum
- 9 Sections
- 75 Lessons
- 60 Days
Expand all sectionsCollapse all sections
- 📂 Introduction to Artificial IntelligenceLearning focus: 🟢👉 SKS Online Course guide, tips, and emojis meaning list; 🤖🎧 What is AI: definition, scopes and the impact on Society. Lessons are preserved in source order (11 mapped).11
- 1.1🟢👉 FermiLabs Online Course guide, tips, and emojis meaning list
- 1.2📮 AI Systems: Capabilities, Limits and Verification
- 1.3🤖 📮 How Artificial Intelligence already Impacts Everyday Life and How AI is going to change the World
- 1.4🆕🗽 🤖 📮 History of AI and the pioneers of artificial intelligence
- 1.5🤖🔑 📮 Types of AI: classification by capabilities of functionality, key term (narrow, general, strong) and category
- 1.6🤖 AI Problem solving techniques (e.g. search, game playing, planning)
- 1.7🤖 📮 AI Knowledge representation and reasoning
- 1.8🤖🎓 📮 Google Colaboratory, or “Google Colab” the cloud-based programming platform for data science
- 1.9🤖 📮 Artificial Intelligence, Augmented Intelligence and decisione making
- 1.10🤖 📮 Knowing the risk of AI to avoid them: Ethics and social impact on Society and the Deepfake technology
- 1.11👾💡👉 Join our Open Discord Server to share your progress, engage with other and peer review your activities
- 📂 Machine Learning and Neural NetworksLearning focus: 🆕🤖🎧 How AI Reasons: From AlphaGo to ChatGPT; 🤖🎧 Introduction to machine learning. Lessons are preserved in source order (12 mapped).12
- 2.1📮 Machine Learning Workflow: Data, Models and Evaluation
- 2.2🤖 📮 Supervised learning (e.g. linear regression, logistic regression)
- 2.3🤖 📮 Artificial Neural Networks and Deep Learning
- 2.4🤖 📮 Training Neural Networks, large dataset, propagation and optimization
- 2.5🤖🎓💻🥽 📮 Coding LAB: AI read your handwriting
- 2.6🤖 📮 Unsupervised learning (autoencoder, clustering, dimensionality reduction)
- 2.7🤖 📮 Decision trees and random forests
- 2.8🤖 📮 Support vector machines
- 2.9🤖 Ensemble learning
- 2.10🤖 Model selection and evaluation
- 2.11🤖 📮 Machine Learning and Deep Learning
- 2.12🤖💡🥽🎨 📮 LAB DALL·E 2 Tutorial – High quality image generation with AI from text
- 📂 NLP Natural Language Processing – Chatbot and ChatGPTLearning focus: 🆕🤖🎧 The History of ChatGPT: 35 Years in the Making; 🤖🎧 Introduction to NLP Natural Language Processing. Lessons are preserved in source order (15 mapped).15
- 3.1🤖 📮 Introduction to NLP Natural Language Processing
- 3.2🤖 NLP Tokenization and parsing
- 3.3🤖 NLP POS Part-of-speech tagging and NER Named Entity Recognition
- 3.4🤖 NLP Text classification and sentiment analysis
- 3.5🤖 NLP Text generation and translation
- 3.6🤖🎓🥽 📮 LAB: Make an AI sound like a YouTuber
- 3.7🤖💡 📮 Chatbot: What they are, history and Alexa
- 3.8🤖 📮 GPT, ChatGPT NLP training, Why is a game changer and potential risk
- 3.9🤖 📮 Dialogue systems and chatbots using ChatGPT
- 3.10🤖🎓💡🔗🔑🎨 📮 ChatGPT How to start and using for Education, Best practices
- 3.11🤖 Limitations and challenges of ChatGPT
- 3.12🤖 Possible applications of NLP and ChatGPT
- 3.13🆕🤖💡 📮 Using Character.AI to Chat with Historical and Contemporary Figures in Education – Learning Through Conversations
- 3.14🆕🤖💡❓📲 📮 Quizalize How to make engaging quiz fast and easy for teachers with the power of AI ChatGPT and importing Google Form
- 3.15🆕🤖💡 📮 ChatPDF: An Effective Tool for Learning, Work, and Curiosity by chatting with a PDF
- 📂 Robotics and Intelligent AgentsLearning focus: 🤖🦾🎧 Introduction to robotics, intelligent agents and difference between Robotics and AI; 🆕🤖 🎧Nvidia CES 2025 Keynote: Shaping the Future of AI and Graphics. Lessons are preserved in source order (3 mapped).3
- 📂 Robotics and Intelligent AgentsLearning focus: 🤖🦾🎧 Introduction to robotics, intelligent agents and difference between Robotics and AI; 🆕🤖 🎧Nvidia CES 2025 Keynote: Shaping the Future of AI and Graphics. Lessons are preserved in source order (3 mapped).3
- 📂 Robotics and Intelligent AgentsLearning focus: 🤖🦾🎧 Introduction to robotics, intelligent agents and difference between Robotics and AI; 🆕🤖 🎧Nvidia CES 2025 Keynote: Shaping the Future of AI and Graphics. Lessons are preserved in source order (7 mapped).7
- 6.1🤖🦾 📮 Introduction to robotics, intelligent agents and difference between Robotics and AI
- 6.2💼👨🎓🤖🦾🚔🔑💡 📮 Self-driving car: Robocar, Robotaxi, Ride-Sharing Service and Tesla FSD
- 6.3🦾🤖💡 📮 Solving the Rubik’s Cube with a robot hand or with a LEGO for AI Artificial Intelligence research and Education
- 6.4🤖 AI Sensor-based and model-based planning
- 6.5🤖💡 📮 AI Motion planning and control
- 6.6🤖 📮 AI Emergent tool, Multi-agent systems and Hide and Seek game by OpenAI
- 6.7🤖💡 📮 AI playing games a useful way for building and evaluating AI systems. The Monte Carlo simulation
- 📂 AI in Education and SocietyLearning focus: 🆕🤖🎧🔗 Transforming Learning in Nigeria with AI: From Chalkboards to Chatbots; 🤖🎓🎧 Applications of AI in education, Research and Practice. Lessons are preserved in source order (14 mapped).14
- 7.1🤖🎓 📮 Applications of AI in education, Research and Practice
- 7.2🤖🎓 📮 AI in Education in the Classroom, Privacy concern and the Chinese experimentation
- 7.3🤖 📮 AI-powered learning platforms
- 7.4🤖🎓💡 📮 AI in personalized learning, tutoring and AI-generated characters
- 7.5🤖🎓🏫💡 📮 Strategies to incorporate AI in the classroom in an ethical and responsible manner
- 7.6🤖🎓🆘 📮 AI in special education and everyday life benefit for disable people
- 7.7🤖🎓 📮 The potential riFermiLabs and limitations of using AI in education
- 7.8🤖🎓 📮 AI in Assessment, Grading, Education Tracking
- 7.9🤖🎓 AI in language learning
- 7.10🤖🎓🏫💡 📮 Is Amazaon Alexa an Artificial Intelligence? Classroom activity
- 7.11🟢🎓👩🔬👷♂️🔬🧵🤖⚡💻📐🎲👽🔨🤯🥽 📮 Digital Repository, Innovative Learning Environments, AR/VR and Metaverse, 3D Printing, Coding, AI, Robotics and using Games for STEM Education
- 7.12📮 Design Thinking with Technical Constraints
- 7.13🎓🔬🤖🥽 📮 Augmented reality (AR) and virtual reality (VR) in Education
- 7.14🛠️🧵📐🥼💡 Making Mockup and do Prototyping with cardboard before even 3D design or 3D Print
- 📂 Trends and Future ApplicationsLearning focus: 🆕🤖⛓️ 🎧 Predictions for AI, Blockchain, and Technological Evolution; 🆕⛓️🤖🥽 The Convergence of Blockchain with AI, IoT, and the Metaverse. Lessons are preserved in source order (6 mapped).6
- 8.1💼👨🎓🤖🎓🤦♂️💡 📮 AI, Robotics and automation in all sections: What will future jobs look like and how to prepare the next Generations
- 8.2🤖 📮 Humans and AI working together
- 8.3🤖 📮 Recommendation systems AI: How YouTube knows what you should watch and create a “bubble” for you
- 8.4🤖💡 📮 AI and Web Search Engines
- 8.5🤖 📮 Algorithmic Bias and Fairness
- 8.6🤖 📮 The Future of Artificial Intelligence and the Turing test
- FermiLabs Common Core — Evidence, Safety & Engineering Method
Curated FermiLabs evidence, safety and engineering-method lessons. Existing course curriculum is preserved; this section is additive and independently owned.
FermiLabs connections:RoboCup AI activity
4
Instructor
Free
