AI for Beginners (No Code): Understand and Use AI
Udemy certificate available 6 free on YouTube BeginnerIntermediateAdvanced
- Udemy
- Enroll on Udemy
- Lessons
- 27
- Planned length
- About 6 h 2 min
What you will be able to do
- Explain AI in one sentence and spot it in five apps you use daily
- Place any AI product on the AI > ML > DL > GenAI map and explain the boom
- Describe learning from examples with a spam-filter story
- Judge whether a dataset is good enough for an AI task
- Explain layers, weights and training with one picture
- Tell training from inference and why one costs crores and the other paise
Syllabus
AI Foundations (No Code): What AI Is
- What Is AI, Really? Explain AI in one sentence and spot it in five apps you use daily
- AI vs ML vs Deep Learning vs GenAI, and Why AI Exploded Now Place any AI product on the AI > ML > DL > GenAI map and explain the boom
- How Machines Learn From Examples Describe learning from examples with a spam-filter story
- Data: The Fuel of AI Judge whether a dataset is good enough for an AI task
- Neural Networks Without Maths Explain layers, weights and training with one picture
- Training vs Using a Model Tell training from inference and why one costs crores and the other paise
- What AI Still Can't Do: Limits, AGI Claims and Hype Separate real capability from hype in a news headline
AI Foundations (No Code): How LLMs Work
- What Is a Large Language Model? Explain an LLM as a next-word predictor trained on text
- Tokens and the Context Window Estimate tokens for a document and know when it won't fit
- How LLMs Write: Next-Token Prediction, Temperature, Sampling Predict how temperature changes an answer
- How ChatGPT Was Made: Pre-training, Fine-tuning, RLHF Explain the three training stages of a chat model
- Reasoning Models: What "Thinking" Really Means Choose when a reasoning model is worth the extra time and cost
- The Model Landscape: Closed vs Open Weights, Sizes, Benchmarks Read a model card and a leaderboard without being fooled
AI Foundations (No Code): Trust, Hallucination and Safety
- Why AI Makes Things Up Explain hallucination and the three habits that catch it
- Using AI Safely Follow five safety rules for AI at home and at work
- Fact-Check and Bias-Check Any AI Answer Verify claims with sources and test for bias with paired prompts
- What Happens to Your Data in AI Chats Set the privacy and training settings in your AI apps
- Spot Deepfakes and AI Scams Use a 5-point check on suspicious voice, video and messages
- AI Rules You Should Know: EU AI Act, India DPDP, Copyright Know which rules touch your AI use at work
AI Foundations (No Code): AI at Work
- AI Roadmap for Beginners Pick your next 30 days of AI learning
- 20 Everyday Work Tasks AI Can Do Today, and How to Measure the Gain Pick five tasks and measure time saved in a one-week test
- AI Agents vs Agentic AI: The Real Difference Explain agents vs agentic AI to a manager
- Workshop: AI Risk Review and Team AI Policy Run a risk review and ship a one-page AI policy for your team
Using AI Tools: Chat Assistants
- How Chat Assistants Work Explain what happens between your message and the reply
Using AI Tools: Image Tools
- How AI Makes Images, Audio and Video Explain how generators create media from text
Prompt Engineering: Prompt Basics
- Prompting Basics Write a clear prompt that gets a usable first answer
- Better Prompts in 4 Simple Upgrades Upgrade any prompt with role, context, format and examples
Lesson list from the ADITEJUS curriculum. Planned lengths are estimates per lesson; Udemy shows the final length.