Prompt Engineering & Context Engineering

Live Online (VILT) & Classroom Corporate Training Course

Design effective prompts, manage context, produce reliable structured outputs, optimize AI interactions and evaluate prompt performance in real-world GenAI applications.

Expert-Led VILT & Classroom 8 Hours Level: Beginner - Intermediate Certificate of Completion
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Overview

Design effective prompts, manage context, produce reliable structured outputs, optimize AI interactions and evaluate prompt performance in real-world GenAI applications.

What You Will Learn

By the end of this course, learners will be able to:

  • Explain the principles and purpose of prompt engineering.
  • Design clear, precise and reusable prompts for different LLM tasks.
  • Apply zero-shot, few-shot, role-based and instruction-based prompting techniques.
  • Design structured outputs using explicit formatting and schema requirements.
  • Distinguish system instructions, user instructions and contextual information.
  • Apply context engineering techniques to improve relevance and reliability.
  • Manage long contexts and token budgets effectively.
  • Test, evaluate and optimize prompts using systematic evaluation methods.
  • Build a reusable, production-ready prompt workflow for a real-world use case.

Prerequisites

Basic familiarity with Generative AI tools and Large Language Models is recommended. No programming experience is required for the core modules.

Course Outline

  • What is Prompt Engineering?
  • Why Prompt Design Matters for LLM Applications
  • How LLMs Interpret Instructions
  • Prompt Anatomy and Core Components
  • Instructions, Context, Input and Expected Output
  • Common Prompting Mistakes
  • Prompt Engineering Use Cases

  • Zero-Shot Prompting
  • Few-Shot Prompting
  • One-Shot Prompting
  • Role-Based Prompting
  • Instruction-Based Prompting
  • Task Decomposition
  • Reasoning-Oriented Prompting Concepts
  • Choosing the Right Prompting Technique

  • System Instructions vs User Instructions
  • Instruction Hierarchy and Priority
  • Defining Output Requirements
  • Structured Output Prompting
  • JSON and Schema-Based Outputs
  • Format Constraints and Validation
  • Controlling Tone, Style and Response Length
  • Handling Ambiguous or Incomplete Inputs

  • What are Prompt Templates?
  • Static vs Dynamic Prompt Components
  • Variables and Placeholders
  • Reusable Prompt Patterns
  • Prompt Templates for Classification, Extraction and Summarization
  • Prompt Templates for Content Generation
  • Designing Maintainable Prompt Workflows

  • Introduction to Context Engineering
  • Prompt Engineering vs Context Engineering
  • What Makes Context Useful?
  • Context Selection and Relevance
  • Context Prioritization
  • Context Ordering and Information Placement
  • Long-Context Management
  • Managing Context Windows and Token Budgets
  • Avoiding Context Overload
  • Context Design for RAG and AI Agents

  • Why Prompt Optimization is Necessary
  • Iterative Prompt Refinement
  • Prompt Testing Strategies
  • Defining Prompt Quality Criteria
  • Accuracy, Relevance and Consistency
  • Hallucination and Reliability Checks
  • Automated and Human Evaluation
  • A/B Testing Prompts
  • Prompt Versioning and Documentation

  • Define a Real-World Business Use Case
  • Identify User Inputs and Required Context
  • Design the Initial Prompt
  • Add System and User Instructions
  • Create a Reusable Prompt Template
  • Implement Structured Output Requirements
  • Design Context Management Rules
  • Test the Prompt with Multiple Inputs
  • Evaluate Output Quality
  • Optimize the Prompt Based on Results
  • Create a Versioned Production Prompt
  • Final Demonstration and Best-Practice Review

Available Training Modes

Pick the format that fits your team.

Same authorised curriculum, same trainers, same hands-on cloud labs — delivered the way that works for you.

Live Online (VILT)

Real-time instructor-led sessions over Zoom or Teams. Same classroom, different time zones.

Most popular

Classroom

Face-to-face training delivered at your office, our Bengaluru centre, or any partner venue worldwide.

Onsite

Self-Paced

Recorded sessions plus 24/7 access to cloud labs and assessments. Learn at the pace that works for each engineer.

On-demand

Blended

Live workshops with self-paced reinforcement and project-based labs. Best for hybrid teams across regions.

Hybrid teams
All modes include: hands-on cloud labs, recordings, assessments, certificate of completion. Talk to a solutions advisor →

Our Training Process

How a course becomes measurable skill.

One contract, five steps, zero handoffs. From discovery to deployment, the same Synergific team owns the outcome — not a chain of vendors.

5 Steps from your scoping call to certified, productive engineers.
01

Discover & set goals

We start with a scoping call to understand your team's current skill level, target outcomes, deadlines, and certification needs — then translate that into a measurable success plan with named owners on both sides.

02

Curate the right path

We map the optimal learning path — instructor-led, self-paced, or blended — with hands-on cloud labs, prerequisite refreshers, and certification vouchers built in. No filler modules, no padded curriculum.

03

Deliver hands-on training

Authorised trainers run live sessions backed by 24/7 cloud labs and real-world projects. Theory and practice on the same day — learners stop forgetting concepts before they get to apply them.

04

Assess & mentor

Continuous skill checks, mock exams, and 1:1 mentoring keep the program honest. If anyone falls behind, we course-correct in-flight — you'll never find out at the end that two engineers couldn't keep up.

05

Certify & apply on the job

Voucher-backed certification, post-training office hours, and 30-day reinforcement so skills land on real work — not just on the exam scorecard. Success measured after the course ends, not before.

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