Beginner

27 stories tagged Beginner on Learning Fanatic.

Lesson 1.2: FDE, solutions engineer, consultant and software engineer Four jobs sit close together and share job titles. Learn four questions that sort any role, and how a forward deployed engineer differs from the rest.
Lesson 1.3: A week in the life of an FDE There is no typical week for a forward deployed engineer, but there is a rhythm. See what a week looks like, how it changes, and how to protect time to build.
Lesson 1.4: The skills map and how to build each one Eight skills cover most of what a forward deployed engineer needs. Learn what each is, how to build it from scratch, and how to find and close your gaps.
Lesson 2.1: Finding the real problem behind the request Customers describe solutions, symptoms and numbers, not problems. Learn a four-layer ladder and five questions that find the real problem before you build.
Lesson 2.2: Mapping stakeholders and who decides Projects stall on people, not code. Learn to map sponsors, users, gatekeepers and blockers, and who decides what, in your first week with a customer.
Lesson 2.3: Scoping a pilot with a success metric A good pilot is a small experiment with a clear metric, a baseline and an exit rule. Learn to scope one, pick the number that proves it, and size it.
Lesson 2.4: Writing the one-page plan for a customer The one-page plan turns discovery into an agreement a customer can read in five minutes. Learn its ten parts, a full example and how to set a date you can keep.
Lesson 3.1: Auditing a customer's data landscape Before you build, find out where the customer's data lives, who owns it and whether it can be used. Learn a one-week audit that finds the surprises early.
Lesson 3.3: Data quality and pipelines for customer data Customer data is never as clean as promised. Learn six quality checks, how to build a pipeline that catches bad rows at the door, and how to keep it running.
Lesson 4.1: Prototype first, then harden Build a rough working version fast so the customer can react, then make it safe. Learn the three kinds of prototype, a hardening checklist and when to switch.
Lesson 4.2: Build, configure or buy for a customer Each part of a customer solution can be built, configured or bought. Learn six criteria, a scoring table and a three-year cost model to choose well.
Lesson 4.4: Demo-driven development in the field A regular, honest demo keeps a customer project on course. Learn to plan backwards from the next demo, run one well, handle feedback and avoid faking it.
Lesson 6.1: Running a demo that lands with any audience Planning a demo is half the job. Learn to read the room, tell the story, handle hard questions and budget the time so the people watching act on what they saw.
Lesson 1.3: Build, buy or fine-tune a model Before training anything, try the cheapest options first. A practical ladder from prompting to retrieval to fine-tuning, and when each one is worth the cost.
Lesson 1.2: The parts of an LLM application Almost every language model product has five parts: input, context, model, output handling and feedback. Learn the map so every later lesson has a place.
Lesson 1: Where your working time actually goes Before trying any productivity trick, measure your week. A simple three-day time log shows where hours really go and which one change will help most.
Lesson 2.3: Temperature and sampling explained Temperature decides how adventurous a model's word choices are. Move the slider to see the probabilities reshape, and learn which setting fits which task.
Lesson 1: What competitive advantage really is Competitive advantage is a reason customers pick you that rivals cannot easily copy. Learn the two kinds, and a simple test for spotting a real one.
Lesson 3.1: Prompts, system messages and parameters How to talk to a model through an API: the system message, the user message, examples and the settings that shape the reply. With a worked prompt you can adapt.
Lesson 1: Why confidence is a skill you can train Confidence is not a personality trait you are born with. It is built by doing small, hard things and noticing that you coped. Here is how to start.
Lesson 1.1: What data is, in rows, columns and types Learn to read any table of data: what a row, a column and a data type are, and the one question to ask before you touch a single number.
Lesson 1: How to structure a talk people can follow A clear talk has one main message, three supporting points and a closing ask. Learn this simple structure and build a five-minute talk in under an hour.
Lesson 1: What a product manager actually does A product manager decides what gets built and why, without being anyone's boss. Learn the three questions the role answers and how it differs from project work.
Lesson 1.1: What an AI engineer actually builds An AI engineer builds products on top of existing language models rather than training them. Learn what the job covers and how it differs from data science.