Speak the language
Explain AI, machine learning, LLMs and generative AI in plain language without getting lost in hype.
Founding cohort · Applications opening soon
Level 1A · Live online · Four weeks · BeginnerUse AI with confidence, not guesswork.
Understand what generative AI can and cannot do, learn to brief it clearly, and build the judgement to check every answer before it shapes your work.
- Format
- Live, guided cohort
- Prerequisites
- None · no coding required
- Outcome
- Personal AI playbook
Clear mental models01Guided prompt practice02Output critique03Reusable playbook
The transformationKnow what to ask.
Know what to ask.
Know what to trust.
You will move from ad-hoc experimentation to a repeatable way of using AI, grounded in purpose, context, evidence and visible human judgement.
Brief AI clearly
Turn vague requests into structured prompts with context, constraints, examples and useful output formats.
Check before you use
Spot unsupported claims, missing context and weak reasoning, then decide what needs evidence or human review.
Build repeatable habits
Create prompt patterns and review checklists for research, writing, analysis and communication.
Is this for you?
For people who want a strong start, not a technical deep dive.
You will be a good fit if you are…
- New to generative AI or mostly experimenting informally
- A professional, analyst, student, educator or team champion
- Unsure which tools or answers to trust
- Ready to practise on real work rather than watch demonstrations
You do not need…
- Coding or data-science experience
- A paid account with a specific AI provider
- A technical role or software project
- A fully formed use case before you start
Already building with APIs and Python? Take the diagnostic. You may be ready to move directly to the Generative AI Developer Cohort.
Four-week programme
From first principles to your own playbook.
Each week combines a simple mental model with guided practice on real tasks. Your examples and reflections become a practical reference you can keep using.
W01AI without the hype+
Understand how generative AI produces answers, where it performs well, why it fails and what should always remain a human decision.
You createA one-page AI mental model and opportunity list
W02Prompting as clear briefing+
Use purpose, context, constraints, examples and output formats to make requests clearer. Learn when conversation and iteration improve the result.
You createA tested set of reusable prompt patterns
W03Research, analysis and communication+
Apply AI to summarising, comparing, drafting and sense-making while preserving sources, uncertainty and your own point of view.
You createTwo repeatable AI-assisted work routines
W04Verification, risk and responsible use+
Check claims, protect sensitive information, recognise bias and decide where review, disclosure or escalation is needed.
You createYour personal AI playbook and readiness plan
Your course project
A personal AI workbench you can actually reuse.
Bring together your strongest prompts, checks and working routines into a simple playbook that makes good practice visible to you or to your team.
- Five tested prompt patterns
- Two repeatable work routines
- Fact-checking and quality checklist
- Privacy and responsible-use rules
- Personal next-step learning recommendation
01Work need
→02Clear brief
→03Check
→04Reuse
Purpose · context · evidence · judgement
Your founding instructors
AI explained through work, value and reality.
Three complementary perspectives help learners understand the technology without losing sight of business context, risk and human judgement.
KR
01Krishna Reddy Kuchalakanti
Technology, cloud and responsible practiceClear mental models for how AI systems work, where data travels, and the security and reliability questions every user should ask.
SN
02Soma Shekar Nandikonda
Product judgement and useful outcomesFraming better questions, connecting AI use to real customer or workplace needs, and judging whether an output creates value.
RC
03Ramakrishna Chilukuri Venkata
Business context and workflow clarityTurning everyday work into clear steps, requirements and review points so AI supports the process without obscuring accountability.
What is included
A supportive route into AI.
Expert-led sessions
Plain-language explanations, worked examples and time to ask the questions behind the terminology.
Guided challenges
Use AI on realistic tasks and compare what changes when the brief, evidence or review process improves.
Critique and office hours
Test your judgement, improve your playbook and learn from the different ways peers approach a task.
Templates and playbook
Leave with adaptable prompting, checking and reflection tools instead of a folder of disconnected demos.
Questions, answered
Before you join.
Is this the same material as the developer cohort?+
No. Both introduce LLMs, prompting and responsible use, but this course teaches them for everyday professional work without code. The developer cohort moves quickly into APIs, RAG, agents, evaluation and deployment.
Do I need to know which AI tool I want to use?+
No. The course teaches transferable habits rather than depending on one provider. You will compare tools where that helps you understand their strengths and limitations.
What comes after this course?+
Most learners will move into Applied Generative AI Fundamentals to build a complete AI-assisted workflow. Technical learners may take the diagnostic and progress directly to the developer cohort.
Can organisations use this for a team?+
Yes. The examples, risk discussions and playbook can be adapted to a team’s policies, workflows and sector context through an organisation cohort.
When does the cohort start and what will it cost?+
Dates and founding-cohort pricing are being finalised. Join the list to receive the schedule and early-access details first.
Ready for a confident first step?
Make AI useful without giving up your judgement.
Join the founding-cohort list for dates, pricing and the course guide.
Join the founding cohort