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Home → Faculty → Dastgir Sabri
Portrait of Dastgir Sabri, Lead Instructor for AI Automation and Agentic Systems at BIT
LEAD INSTRUCTOR
Faisalabad campus + live online
AI Automation and Agentic Systems

Dastgir Sabri

Lead Instructor — AI Automation and Agentic Systems

Dastgir leads core technical instruction at BIT across automation architecture, AI workflows, tool-using agents, knowledge systems, integrations, testing, and capstone development.

Primary area
AI automation and agentic systems
Teaching activity
Professional programs and masterclasses
Learning approach
Live demonstrations and guided builds
Project role
Technical review and capstone guidance
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About the instructor

Teaching practical systems from workflow to deployment.

Dastgir Sabri is the lead technical instructor for BIT’s AI Automation and Agentic Systems program. His teaching focuses on how automation workflows, AI models, APIs, data, tools, memory, and agent frameworks connect to solve practical problems.

At BIT, he leads technical explanations, complete live demonstrations, guided implementation, troubleshooting, and capstone review. His role is to help learners progress from understanding workflow logic to building, testing, documenting, and presenting complete systems.

What Dastgir teaches

What Dastgir teaches at BIT.

Automation architecture
Triggers, conditions, actions, branches, data movement, and repeatable workflow design.
APIs and integrations
Webhooks, REST APIs, JSON, business applications, and controlled tool connections.
Tool-using AI agents
Agent instructions, planning, structured outputs, tools, execution loops, and safeguards.
Knowledge and retrieval systems
Embeddings, document retrieval, vector databases, memory, and grounded responses.
Tool connections and protocols
Controlled connections to approved files, databases, browsers, communication services, and external system tools.
Deployment and reliability
Testing, error handling, permissions, monitoring, security, documentation, and capstone presentation.
Teaching at BIT

A complete process from explanation to proof.

01Explain
Establish the concept, problem, architecture, and intended output.
02Demonstrate
Build the complete system live while explaining each implementation decision.
03Guide
Support learners as they recreate and adapt the system.
04Review
Examine errors, reliability, structure, documentation, and quality.
05Challenge
Ask learners to apply the concept to a different practical problem.
06Prove
Review the final demonstration, documentation, and capstone result.
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See the teaching beyond the profile.

Documentary photography from Dastgir’s BIT sessions — select an image to enlarge.

Learn with Dastgir at BIT.

PROGRAM TAUGHT
Professional Certificate in AI Automation and Agentic Systems
Build automation workflows, tool-using agents, knowledge systems, and a final documented capstone through live instructor-led training.
10 weeksCampus + live onlineInstructor-ledFinal capstoneApplications open
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INTRODUCTORY SESSION
AI Automation and Agentic AI Masterclass
Understand the difference between automation and agentic systems and watch complete systems demonstrated live.
Next date to be announcedPlanned duration: 90 minutesCampus + live onlineInterest list open
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His teaching approach focuses on understanding why systems work, where they fail, and how they can be rebuilt for a different problem.
Teaching approach — Dastgir Sabri, Lead Instructor
Presented as a description until approved by the instructor as a direct quotation.

Learn to build complete AI and automation systems.

Explore the professional program, join the next practical masterclass, or speak with BIT Admissions about the right starting point.

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