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

Course Dates: 28th Feb and 1st Mar 2026
Venue: OpenText, Centrum Building, 4th floor, Katha No 436, ... Show more
Instructor
Anant Sabane
1 Student enrolled
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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.

Practical Prompt Engineering Foundations
Advanced Reasoning Frameworks
Context Engineering - Building Custom AI Assistants (Part 1)
Context Engineering - Building Custom AI Assistants (Part 2)
Comprehensive Risk, Ethics, and Quality Control
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Course details
Duration 6 hours daily session for 2 days
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.

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