Sherpa by STC india

Special

Pune (In Person) - Applied Prompt Engineering & Custom AI Assistants for Technical Communicators

Course Dates: 14th and 15th Feb 2026
Venue: PTC Software (India) Pvt. Ltd. Kalyani Nagar, Pune
... Show more
Instructor
Anant Sabane
1 Student enrolled
0
0 reviews
  • Description
  • Curriculum
  • Reviews
Png&skoid=7daae675 7b42 4e2e Ab4c 8d8419a28d99&sktid=a48cca56 E6da 484e A814 9c849652bcb3&skt=2026 01 06T12%3A45%3A16Z&ske=2026 01 07T12%3A45%3A16Z&sks=b&skv=2024 08 04&sig=UQnXNTFAvMYAYWJay2fjbxL3QqbfuuDfjB5AusdDKyA%3D

This course is designed for technical writers, instructional designers, and communicators who want to move beyond basic AI usage to become strategic AI practitioners. Participants will master advanced prompt engineering techniques including Chain-of-Thought and Tree of Thoughts reasoning, learn to build reusable Custom AI Assistants through context engineering, and implement a comprehensive 9-workflow framework for ensuring ethical, accurate, and bias-free AI-generated content. The course emphasizes hands-on application, with participants creating job-ready tools and developing a portfolio case study that demonstrates measurable business impact. 

By the end of the program, participants will be equipped to position themselves for emerging AI-enhanced roles and deliver immediate value to their organizations.

Key Focus Areas:

  • Advanced Prompt Engineering: Master techniques including Few-Shot, Multi-Turn, Meta-Prompting, Chain-of-Thought (CoT), and Tree of Thoughts (ToT) for complex problem-solving and strategic decision-making.

  • Context Engineering & Custom AI Assistants: Build reusable, job-specific Custom GPTs with engineered system prompts that embed style guides, glossaries, and brand voice for consistent, high-quality output.

  • Comprehensive Risk & Ethics Framework: Implement a 9-workflow quality control system covering fact-checking, bias detection, data privacy, plagiarism prevention, and tone integrity to ensure ethical and accurate AI-generated content.

Share
Course details
Duration 6 hours daily session for 2 days
Lectures 6
Level Advanced
Basic info

At the end of this course, participants will:

  1. Master advanced prompt engineering techniques: Few-Shot, Multi-Turn, Meta-Prompting, Chain-of-Thought (CoT), and Tree of Thoughts (ToT).

  2. Build job-specific Custom AI Assistants using context-engineered system prompts.

  3. Implement a multi-workflow quality control framework for fact-checking, bias detection, privacy protection, and plagiarism prevention.

  4. Design and integrate AI-enhanced documentation workflows for measurable efficiency gains.

  5. Map skills to emerging AI-enhanced roles and build ROI-driven business cases for AI adoption.

  6. Develop a professional portfolio case study demonstrating measurable business impact.

 

Course requirements
  • Basic familiarity with AI concepts and technical writing principles.

  • A laptop with internet access.

  • A Microsoft Copilot, ChatGPT or Gemini account

  • No Advanced Coding or AI Expertise Required:
    The course will focus on hands-on learning and practical applications, so prior technical expertise is not mandatory.

Recent Posts

    Recent Comments

    No comments to show.