Prompt Engineering for Teams
Practical prompt design, structured outputs and verification habits for professionals and developers using LLMs daily.
- ✓ Instructor-led live sessions, online or in Bengaluru
- ✓ Hands-on labs in every module
- ✓ Capstone project with trainer review
- ✓ Curriculum customisable for corporate teams
- ✓ Certificate of completion
Next batch: Sat, 12 Dec 2026 · 16 hours · 2 days
Prompt Engineering for Teams
Duration: 16 hours · 2 days
Next batch: Sat, 12 Dec 2026
Format: Online live · Bengaluru classroom
Modules: 8 · Topics: 38
Level: Beginner to Intermediate
Fee: ₹7,499
Trusted by leading experts
Upcoming batches
Open batches for individuals; corporate batches on your dates.
| Programme | Starts | Mode | Schedule | Duration | |
|---|---|---|---|---|---|
| Prompt Engineering for Teams | Sat, 12 Dec 2026 | Online live | Weekend (Sat) | 3 Saturdays | Enquire |
| Prompt Engineering for Teams | Mon, 25 Jan 2027 | Bengaluru classroom | Weekday | 2 days | Enquire |
| Prompt Engineering for Teams | Sat, 06 Mar 2027 | Online live | Weekend (Sat) | 3 Saturdays | Enquire |
Soaring demand, and where it takes you
Prompting is now a baseline skill for knowledge workers and developers, and organisations increasingly standardise it to get consistent results.
Become an expert
Roles this programme prepares you for:
Become a Prompt-Savvy Analyst
Uses structured prompting to speed up analysis and reporting.
- Apply proven prompt patterns to common tasks
- Use examples and constraints to control output
- Produce reliable structured output such as JSON and tables
About the course
A hands-on course in prompt design for both business users and developers: reliable prompt patterns, structured outputs, few-shot examples, multi-step prompting and verification. Teams finish with a shared, tested prompt library.
Practical prompt design, structured outputs and verification habits for professionals and developers using LLMs daily.
Why should I attend?
Business users and analysts
Developers building LLM features
Content, support and operations teams
Team leads standardising AI use
Prerequisites
Regular use of an AI assistant or LLM API
Level
Beginner to Intermediate
Delivery modes, duration and fee
Online live
Instructor-led virtual classroom; weekday (full-day) or weekend (Saturday) batches
Bengaluru classroom
In-person batches at our Bengaluru training venue
On-site at your office
Private corporate batch anywhere in India, scheduled around your teams
Blended
Live sessions plus guided self-paced labs and mentor check-ins
Duration: 16 hours · 2 days
Course fee (open batch): ₹7,499
Corporate / team batches: per-participant or flat batch pricing on request, based on group size, format and customisation.
What will you learn
- Apply proven prompt patterns to common tasks
- Use examples and constraints to control output
- Produce reliable structured output such as JSON and tables
- Break complex tasks into multi-step prompts
- Test and compare prompts systematically
- Build and maintain a shared prompt library
Skills you will gain
Prompt design
Reliability
Testing
Tools and platforms covered
ChatGPT
Google GeminiOpenAI API
PythonCourse curriculum
M01 How models read prompts
- Instructions vs context
- Why wording matters
- Common pitfalls
- Model differences that affect prompts
- System vs user messages
🧪 Hands-on: Diagnose failing prompts
M02 Core patterns
- Role and audience
- Examples (few-shot)
- Constraints and format
- Delimiters and sections
- Negative instructions and their limits
🧪 Hands-on: Apply patterns to five tasks
M03 Structured output
- Tables and JSON
- Schemas
- Validating output
- Extraction templates
- Handling missing fields
🧪 Hands-on: Extract structured data reliably
M04 Multi-step prompting
- Decomposition
- Critique and revise
- Chaining prompts
- Self-consistency checks
- Routing prompts by task
🧪 Hands-on: Build a three-step workflow
M05 Testing prompts
- Test sets
- Side-by-side comparison
- Versioning
- Scoring rubrics
- Regression checks after model updates
🧪 Hands-on: Compare prompt variants
M06 The team prompt library
- Templates
- Governance
- Sharing and maintenance
- Ownership and review
- Measuring adoption
🧪 Hands-on: Publish your team library
M07 Prompting for retrieval and tools
- Grounding answers in documents
- Citations
- Tool and function prompts
- Prompt injection awareness
🧪 Hands-on: Write a grounded prompt that refuses when sources lack the answer
M08 Capstone: team prompt kit
- Selecting team use cases
- Writing and testing prompts
- Documentation
- Rollout plan
🧪 Hands-on: Deliver a tested prompt kit for one team process
Hands-on projects
Team prompt library
A tested, versioned set of prompts for your team's recurring tasks.
Prompt evaluation sheet
A simple framework for comparing prompts on your tasks.
Why train with us
Built around your stack
Labs and examples adapted to the tools, cloud and data your team actually uses.
Practice-first
Every module ends in a lab, and the course ends with a reviewed capstone.
Practitioner-led
Delivered by Karthick Selvam and vetted specialist trainers from our network.
Visible progress
Attendance, lab completion and assessment results shared with your L&D team.
Certificate of completion
Participants who complete the labs and capstone receive a Learning Dots certificate of completion for Prompt Engineering for Teams. [confirm certificate wording / sample image]
Learner reviews
“[Verified learner review for this course]”
“[Verified learner review for this course]”
Meet your trainer
Karthick Selvam
Founder · Data Engineering Corporate Trainer, Bengaluru
[Trainer bio, experience and areas of expertise]
Frequently asked questions
Is this for developers or business users?
Both. Exercises have business and developer tracks.
Can the curriculum be customised for our team?
Yes. Modules, depth, duration and labs can be tailored to your stack and goals.
What delivery formats are available?
Online live instructor-led sessions, Bengaluru classroom, or on-site at your office.
How do we enquire or book?
Use the enquiry form on this page or the Enquire button next to any batch.
What does it cost?
The open-batch fee is ₹7,499 per participant plus GST. Corporate batches are priced on group size, format and customisation.
How long is the course?
16 hours · 2 days. Corporate batches can be split into half-day sessions.
A closer look
About this course
A hands-on course in prompt design for both business users and developers: reliable prompt patterns, structured outputs, few-shot examples, multi-step prompting and verification. Teams finish with a shared, tested prompt library.
What is Prompt Engineering for Teams?
Practical prompt design, structured outputs and verification habits for professionals and developers using LLMs daily.
Who this course is for
Business users and analysts, Developers building LLM features, Content, support and operations teams, Team leads standardising AI use.
What you will be able to do
Apply proven prompt patterns to common tasks. Use examples and constraints to control output. Produce reliable structured output such as JSON and tables. Break complex tasks into multi-step prompts. Test and compare prompts systematically. Build and maintain a shared prompt library.
Career paths
Roles this course supports include Prompt-Savvy Analyst, AI Application Developer, Prompt Library Owner. Prompting is now a baseline skill for knowledge workers and developers, and organisations increasingly standardise it to get consistent results.
AI & GenAI guides
Generative AI vs Traditional AI: What Is the Difference?
Traditional AI mostly predicts or classifies. Generative AI produces new content. Both have a place in the enterprise.
What Is Prompt Engineering?
Prompt engineering is the practice of writing instructions that get reliable, useful output from a language model.
What Is ChatGPT and How Does It Relate to Other AI Assistants?
ChatGPT is a conversational AI assistant from OpenAI, built on large language models. It is one of several similar assistants.
How to Compare AI Assistants for Your Team
Several general-purpose AI assistants compete for enterprise use. Rather than chasing rankings, evaluate them against your own needs.