Master Agentic AI Systems & Automation. Deploy 3 Enterprise Products in Just 12 Weeks.
Master agent loops, custom MCP servers, pgvector retrieval, and event-driven architectures. Graduate with 3 live deployed applications, a public GitHub portfolio, and verified technical defenses.
Online
Google Meet
October
Upcoming Cohort
Graded Labs
Direct Mentorship & TA Support
12 Weeks
Duration (3 Months)
7:00 – 9:00PM
3 Days / Week (2 Hours/Day)
Job & Freelance Prep
GitHub Portfolio & Capstone
Final Application Deadline: September 25, 2026
What You Will Build Across 12 Weeks
Curriculum
Foundations Sprint & Engineering Readiness (Weeks 00–02)
- Python essentials (functions, data structures, control flow) and working effectively with Claude Code[cite: 2].
- REST APIs, JSON schema validation, HTTP methods, webhooks, and GitHub repository operations[cite: 2].
- Completing the practical Readiness Exercise & Architecture Decision Ladder fundamentals[cite: 2].
Structured Intelligence, APIs & Reliability (Weeks 01–04)
- Cost-modeling LLM workflows, context window management, and structured Pydantic outputs[cite: 2].
- Building event-driven automation in n8n, handling webhooks, rate limits, and exponential backoff[cite: 2].
- Instrumenting OpenTelemetry tracing, logging cost-per-run, and defending Product 01 (Intake-to-Action)[cite: 2].
Agent Loops, RAG & Model Context Protocol (Weeks 05–08)
- Hand-rolling first-principles agent loops with iteration limits, termination conditions, and cost budgets[cite: 2].
- Grounding models with pgvector hybrid search, context compaction, and non-English/Urdu human escalation[cite: 2].
- Designing, publishing, and security-testing custom Model Context Protocol (MCP) servers[cite: 2].
Durable State, Security & Enterprise Production (Weeks 09–12)
- Orchestrating stateful workflows that persist, resume after crash termination, and enforce human approval gates[cite: 2].
- Building 30+ case automated evaluation suites in CI/CD and conducting OWASP Top 10 Red Team attacks[cite: 2].
- Deploying production FastAPI containers on Docker, presenting commercial scopes, and passing the Capstone Defense[cite: 2].
Mehak Rafiq, PhD
Unit Head AI & ML @ Askari Bank | VP of Artificial Intelligence
PhD in Informatics — University of Greenwich | Ex-Tenured Assistant Professor & Lab Lead — NUST
Dr. Mehak Rafiq brings over a decade of combined enterprise leadership and academic excellence in artificial intelligence, machine learning, and cloud infrastructure. Currently serving as Unit Head of AI & ML and VP of Artificial Intelligence at Askari Bank, she leads cross-functional engineering teams deploying production AI/ML solutions across 9 enterprise departments serving over 1.3 million customers.
With prior tenure as a Tenured Assistant Professor and Data Analytics Lab Lead at NUST for nearly 9 years, along with her Postdoctoral Fellowship at the University of Greenwich, Dr. Mehak bridges the gap between academic rigor and real-world system architecture. She focuses on training engineers to build deterministic, reliable, and secure Agentic AI systems ready for modern enterprise demands.
Career & Growth Pathways After Agentic AI Program
Have questions?
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Full Upfront Tuition
Single payment for the complete 12-week program
One-time full program tuition fee
- Complete 12-Week Live Cohort Access
- Graded Labs & Instructor Portfolio Reviews
- Live Capstone Project Deployment Support
Monthly Installments
Break down your total tuition into easy monthly payments
Pay in 3 monthly installments (Rs. 60,000 total)
- Complete 12-Week Live Cohort Access
- Graded Labs & Instructor Portfolio Reviews
- Live Capstone Project Deployment Support
- Zero Interest or Hidden Fees
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The course was amazing but the support provided by the team especially Sir Saad was superb, and I can't forget community gossips.
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Overall course is good. It enabled me to build real life blockchain applications. I like the way they teach technology.
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The blockchain course surpassed my expectations with its well-structured content and knowledgeable instructors.
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The whole AI program provided a comprehensive introduction and the hands-on projects helped me grasp complex concepts.
Amazing Experience
Arsalan was a superb instructor, and I appreciate the emphasis on building real-world applications during the course.
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