Agentic AI for Engineers
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From Prototype to Production: Build, Deploy, and Ship Real AI Agent Systems
The Diploma in Applied Agentic AI Engineering is a code-first, hands-on program for professionals who already have basic programming exposure and want to go all the way — from writing a single AI agent by hand, to orchestrating a team of coordinated agents, to deploying and monitoring a real, working system in production. No step is skipped, and no step stays theoretical: every module ends in something built, not just something explained.
The program is structured as a continuous build. The single agent you design early in the program is deliberately carried forward, decomposed into a multi-agent system, hardened for real-world deployment, and scaled into your final capstone — so by the end, you’re not defending a class project. You’re defending a system.
Module | What It Covers |
Programming Warm-Up | A fast-paced refresher in Python, SQL, and API/JSON fundamentals — building the exact coding muscle this program assumes, before anything “agentic” begins. |
Foundations: The Agentic Loop, Tool Use & MCP | Build your first AI agent completely by hand — no frameworks yet — so you understand exactly what’s happening under the hood. Includes hands-on work with the Model Context Protocol (MCP), one of the newest open standards in the field. |
Frameworks: LangChain, LangGraph, Reflection & Planning | Move from manual to framework-powered agents. Build a self-correcting, knowledge-grounded agent using LangChain and LangGraph, complete with human-in-the-loop checkpoints and reflection logic. |
Multi-Agent Systems: Orchestration, Memory & Context | Learn when one agent isn’t enough — and how to design a coordinated crew of agents using CrewAI, complete with memory architecture and intelligent context management. |
Production-Ready Engineering: Observability, Evaluation & Deployment | Take your system out of the notebook. Learn to trace, test, and evaluate agent behavior, then containerize and deploy it as a real, streaming service. |
Capstone & Ethics: End-to-End System + Agent-to-Agent Communication | Design, build, evaluate, deploy, and defend a complete, original multi-agent system — including a risk and governance package, and hands-on exposure to Agent-to-Agent (A2A) communication, another frontier standard in the field. |
By the end of this diploma, you will be able to:
- Build an AI agent from the ground up — writing the reasoning loop, tool-calling logic, and decision flow yourself, before ever touching a framework, so you understand exactly what frameworks are automating for you.
- Connect agents to real tools and data sources using the Model Context Protocol (MCP) — one of the newest standards for how AI systems interact with the outside world.
- Design and build production-grade single-agent systems using LangChain and LangGraph — complete with retrieval-augmented knowledge, self-correction, and human-in-the-loop checkpoints for high-stakes decisions.
- Architect multi-agent systems that actually need to be multi-agent — knowing when a single agent is enough, when it isn’t, and how to design coordinated agent crews with the right memory and context strategy.
- Instrument, test, and evaluate agent behavior the way production engineering teams do — not “does it look right,” but structured evaluation sets and traceable execution logs.
- Deploy a real, working agent system — containerized, streaming, and monitored — rather than a script that only runs on your own machine.
- Assess and document the risk, safety, and human-oversight profile of an agentic AI system, and communicate that to non-technical stakeholders.
- Design for tomorrow’s standards, today — with hands-on exposure to Agent-to-Agent (A2A) communication, a frontier protocol still maturing across the industry.
- You build by hand before you build with frameworks. Most agentic AI courses start you on LangChain or CrewAI on day one — you’ll write a working agent loop from raw API calls first, so frameworks stop feeling like black boxes.
- The program doesn’t stop at “it works.” A dedicated production-engineering module takes you through observability, structured evaluation, containerization, and deployment — the stage where most agentic AI training simply ends.
- One continuous system, not six disconnected projects. Your single agent is deliberately decomposed into a multi-agent crew, hardened for production, and scaled into your final capstone — you leave with one deployed system you can fully explain, not a folder of unrelated exercises.
- Early, hands-on exposure to two frontier standards — Model Context Protocol (MCP) and Agent-to-Agent (A2A) communication — both still maturing industry-wide, giving you a head start before they become baseline expectations.
- 100% applied, 0% written exam. Every assessment is a build, a deployment, or a defense — no multiple-choice, no theory-only exam.
- On completion, an IBA Certificate — backed by a portfolio-grade, deployed multi-agent system you can show in interviews or freelance pitches, not just a line on a transcript.
Field | Detail |
Duration | 112 hours |
Format | Weekend — Saturday 3h + Sunday 4h, ~14.5 weekends (~3.5 months) |
Audience | Technical/coding-capable professionals with basic prior Python/SQL exposure |
Core Tools | Python, LangChain, LangGraph, CrewAI, LangSmith/Langfuse, FastAPI, Docker, MCP, A2A |
Assessment | 100% applied — daily builds, class exercises, capstone project, peer review |
Admission Criteria & Application Process
- Basic prior exposure to at least one programming language and/or SQL. Not a first-exposure-to-coding program.
- Application form submission, followed by an enrollment fee of Rs. 1,500/-
- Enrollment fee clears the way for an on-campus test/interview, scheduled and confirmed via email
- Shortlisted candidates are notified of selection via email
Program Fee
- PKR 150,000 + 3% SST
- Flexible payment plans available
Audience Segment | Why This Program Fits |
Software Developers & Engineers | Already comfortable writing code — this program takes that fluency directly into agent design, orchestration, and production deployment, a fast-growing and still under-supplied specialization. |
Data Scientists & ML Engineers | Have the modeling/data skills already — this program adds the missing piece: how to turn models and logic into deployed, tool-using agent systems rather than static analyses. |
BDA / BI / Cybersecurity Alumni | Direct entry with existing Python/SQL fluency covering the program’s prerequisite bar — a natural next step to extend an existing technical credential into agentic AI. |
IT & Automation Professionals | Already building scripts, integrations, or RPA-style automations — this program upgrades that skill set into AI-native, reasoning-driven automation that can handle ambiguity, not just fixed rules. |
Freelancers & Independent Consultants (technical) | Agentic AI engineering is a high-demand, low-supply skill in the global remote/freelance market — this program produces a deployed, defensible portfolio project as direct proof of capability. |
Banking & Financial Services (technical staff) | Growing internal pressure to build AI systems that keep sensitive data on-premise — this program’s production-deployment focus directly addresses that data-privacy requirement. |
Healthcare & Pharma (technical staff) | Similar data-sensitivity constraints apply — engineers who can build and deploy private, auditable agent systems are increasingly valuable in regulated healthcare environments. |
Telecom & Digital Services (technical staff) | High-volume, process-heavy operations are natural candidates for agentic automation — this program builds the in-house capability to design and ship those systems rather than relying on vendors. |
- Build internal AI capability instead of renting it. Every graduate leaves able to design, deploy, and maintain agentic AI systems in-house — reducing long-term dependency on external AI vendors and consultants.
- Address data-privacy concerns directly, not just in policy. With enterprise data-privacy concern rising sharply across the region, this program trains engineers specifically in private, on-premise-capable deployment patterns — not just cloud-API integrations that route sensitive data externally.
- Your employee’s capstone can be built around a real problem from your organization. Rather than a generic class project, the final capstone can be scoped around an actual internal automation need — meaning you get a working, deployable prototype for that problem as a direct output of the training investment.
- De-risk your first agentic AI initiative. Instead of a vendor pilot with unclear internal ownership, this program produces staff who can build, evaluate, and take responsibility for an agentic AI system from day one.
- Applied assessment means no theoretical box-ticking. Every module is assessed through real builds and deployments — you’re evaluating what your employee can actually do, not what they memorized.
- A future-ready hire, not a catch-up hire. With hands-on exposure to MCP and A2A — two protocols still maturing industry-wide — your engineers won’t just keep pace with agentic AI standards, they’ll already be fluent when those standards become baseline expectations.
- Agentic AI / Agent Engineer — you’ll leave having built, orchestrated, and deployed multi-agent systems end-to-end, not just prototyped one in a notebook.
- AI Automation Engineer — your hands-on work connecting agents to real tools, APIs, and data sources via MCP directly maps to designing automation pipelines across business systems.
- AI Solutions Developer — the full arc from scoping to deployment in your capstone mirrors exactly what’s required to translate a business automation request into a shipped technical system.
- Applied AI Consultant — a deployed, defensible capstone project gives you concrete proof of capability for scoping and delivering client-specific agentic AI systems, including freelance and remote engagements.
- MLOps / AI Platform Engineer (entry-level) — the observability, evaluation, and deployment skills from the production-engineering module transfer directly into broader AI infrastructure roles.
Freelance & Consulting-Ready
This program is built for the global remote and freelance market, where demand for agentic AI engineering talent currently outpaces credentialed supply. You leave with a real, deployed, technically-defended system — not a certificate alone — as direct evidence of capability for freelance pitches and remote contract work.
Is this program for technical or non-technical professionals?
Technical. You’ll need basic prior exposure to a programming language and/or SQL. If you’re non-technical and want to lead or govern AI adoption without writing code, our Diploma in Agentic AI for Business Leaders is the better fit.
What are the actual prerequisites?
Basic prior Python and/or SQL exposure. The opening module is a structured refresher, not a first introduction to coding — so if you’ve never written code before, this isn’t the right starting point.
What laptop/software do I need?
fill later
How is this program assessed?
Entirely applied — daily coding assignments, in-class exercises, a capstone project, and structured peer review. There’s no written or multiple-choice exam anywhere in the program.
What do I receive on completion?
An IBA Certificate, contingent on meeting attendance and evaluation thresholds in every module — plus a real, deployed multi-agent system you can show in interviews or client pitches.
How is this different from the Business Leaders diploma?
That program is no-code and governance-focused, built for executives directing AI adoption. This program is code-first and deployment-focused, built for engineers who build the systems themselves.
Can my organization nominate employees for this program?
fill later
Will this program guarantee me a job?
No program can guarantee employment outcomes. This diploma is designed to produce a strong, defensible portfolio project and a genuine, demonstrable skill set — career outcomes depending on the broader job market and individual effort.
RS 150,000/- (+3% SST)
Level
Diploma
Batch Number
1
Alumni
Duration
112 Hours
Registration Status
Fill Later
Last Date to Apply
Fill Later
Commencement Month
Fill Later
OVERVIEW
Become an Expert in ERP SAP Solutions for Business Transformation
Gain advanced skills in SAP ERP to optimize business operations and drive efficiency across departments
Course Overview
Gain in-depth knowledge of SAP enterprise systems and their practical application in business environments. This program explores the evolution, architecture, and benefits of SAP modules to help organizations enhance operational efficiency and decision-making. Designed for professionals, the course equips you with essential skills to manage enterprise systems effectively.
Key Features:
SAP Financials:
- Master financial management processes, including accounts payable, accounts receivable, and general ledger.
- Learn to streamline financial reporting and ensure regulatory compliance using SAP.
- Gain insights into budget control, cost management, and financial planning.
SuccessFactors (SAP HCM):
- Understand HR processes like recruitment, performance management, and workforce planning.
- Explore cloud-based HR solutions for managing employee lifecycle and payroll.
- Learn to align employee goals with organizational strategies effectively.
ERP Essentials:
- Discover the fundamental principles of ERP systems and their role in business operations.
- Explore how enterprise integration boosts efficiency and data consistency across departments.
- Understand implementation strategies for successful ERP adoption.
SAP HCM:
- Dive deep into human resource management, payroll systems, and personnel administration.
- Learn to configure and manage organizational structures and employee records in SAP.
- Develop skills to support workforce planning and employee self-service tools.
Supply Chain (SAP SCM):
- Gain expertise in supply chain modules, including demand planning, procurement, and inventory management.
- Learn how SAP enhances logistics, production planning, and supplier collaboration.
- Understand strategies to improve supply chain visibility and operational efficiency
- Comprehensive Training: Learn multiple SAP modules essential for modern business environments.
- Practical Application: Hands-on experience with SAP tools for real-world business scenarios.
- Global Relevance: SAP certifications are highly valued across industries worldwide.
- Career Advancement: Equip yourself for specialized roles in finance, HR, supply chain, and enterprise management.
Enrollment Fee:
- Upon enrollment, a fee of Rs. 1500/- is applicable.
- Upon receipt of the enrollment fee, the date for an on-campus test/ interview will be scheduled & informed via email.
- Shortlisted candidates will be notified of their selection through email.
Program Fee:
- Program fee PKR 100,000/- (excluding SST), is required to be submitted before the commencement of classes.
- A special incentive of a 15 % discount is available for those who choose to pay the full program fee in advance.
Installment Plan:
-We provide a flexible installment plan that consists of three payments:
- The initial installment amount is 60,000.
- The second installment amount is 20,000.
- The third installment amounts to 20,000.
Program Duration:
- 4-Months program
- Scheduled as a weekend program, classes are held on Saturday and Sunday.
Timings:
- SAP Financials: 10:00 AM to 2:00 PM (Sunday)
- Supply Chain: 10:00 AM to 2:00 PM (Sunday)
- HCM: 02:30 PM to 05:30 PM (Sunday)
Eligibility Criteria:
- Graduates are preferred.
Student Policy:
- It is essential for program participants to fulfill the requirement of clearing the program fee.
- Non-compliance with fee payment may result in termination from the program.
Faisal Jalal
Faisal Jalal, the Founder and Chairman of Sinofeng Pakistan Private Limited and leader of FJ Holdings brings over 25 years of diverse experience in senior management positions within multinationals, JVs, and large Pakistani organizations to his role as a trainer for the ERP SAP Certification Program at IBA CICT. His extensive credentials include CQSSBB, PE, and SAP Certified Trainer, along with a Certified Supply Chain Specialist qualification approved by the International Trade Centre UNCTAD/WTO. Faisal’s expertise is further evidenced by his significant contributions to supply chain management, ERP implementations, and IT systems and his active participation in industry conferences and publications.
Muhammad Rizwan
Muhammad Rizwan is a seasoned leader with over 25 years of corporate experience in digital transformation and technology-driven innovation. He has held executive roles in both public and private equity sectors, specializing in ERP platforms and software solutions. Rizwan’s expertise extends to training, with a background as an official Oracle ERP instructor. He holds academic credentials including a certificate in Machine Learning from Stanford University, alongside master’s and bachelor’s degrees in relevant fields. Currently, as the Head of Information Technology at Bachaa Party, he spearheads strategic initiatives to enhance organizational efficiency and innovation. His track record includes impactful contributions to renowned organizations such as Hino Pak Motors and the Karachi Stock Exchange. Mr. Rizwan possesses extensive expertise in training industry professionals across various domains including Data, ERP systems (such as SAP and Oracle), Databases, Big Data, Excel, and Power BI.