AI Native Technology Professionals

Go deep on modern AI and agentic systems: from LLM architecture and RAG to multi-agent orchestration, production governance, and end-to-end prototyping.

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Who This Is For

Chief Technology Officers & Chief Information Officers
Software engineers and backend developers
Machine learning engineers and data scientists
Solutions architects and technical leads
Data engineers and analytics professionals

Program Benefits

A practical, hands-on learning experience: A live, virtual deep dive where engineers and architects master LLM architecture, RAG, agentic systems, and production AI deployment through hands-on building.
Learn from top-tier speakers and faculty: Engage directly with practitioners and experts drawn from industry, not just theory.
Membership in the aiXplain alumni community: Stay current on AI, exchange experiences, and keep learning alongside a network of professionals long after the program ends.
Certificate of Attendance: A credential you can add to your profile and share with your employer.
Access to the AI Agent Library: A ready-to-use collection of AI agents you can draw on in your own workflows.
Invitations to exclusive events: Ongoing access to gatherings with AI practitioners to keep building your skills and connections.

Format & Duration

4 Days

32 training hours in total

Delivery Modes

Virtual via Zoom
In-person at your premises

Scheduling Options

Intensive: all days back-to-back
Modular: split across multiple dates

Program Design

Learning Objectives

By the end of the program, participants will be able to:

01Master the technical foundations of modern AI, machine learning, and agentic systems

02Understand LLM architectures, capabilities, limitations, and the model development lifecycle

03Design agent architectures using tools, memory, planning, and reasoning components

04Orchestrate multi-agent and human-in-the-loop workflows for real business processes

05Apply RAG, embeddings, and retrieval techniques to ground models in enterprise data

06Implement governance, risk, ethical and compliance controls for AI in a corporate setting

07Engineer for production: observability, evaluation, cost control, and reliability

08Identify and prioritize high-value agentic AI use cases across the business

09Design, build, and ship a working agentic AI prototype end to end

10Move the organization into AI safely: at the speed needed to stay competitive

Pricing

Available on request

Pricing varies by group size, format, and level of customization. Contact us for a tailored quote.

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Program Faculty (illustrative)

aiXplain Academy Programs are run by experienced practitioners. Below is an illustrative overview of experts, practitioners, and senior leaders in our network who could potentially join the programs we deliver as faculty.

Dean

Dr. Hassan Sawaf

Founder & CEO, aiXplain

25+ years of experience in employing cutting-edge technologies for mission-critical business operations. Founded and led several companies and organizations in the AI domain, including engagements with Meta (formerly Facebook), AWS, and eBay.

Dean

Dr. Annas Abedin

Strategic Advisor, aiXplain

Serial entrepreneur (co-founder of Rocket Internet MENA, Namshi, Qimam Fellowship, Makeen Advisors, Mustashar Accelerator) and former McKinsey consultant. Trained 5k+ professionals in management consulting skills across MENA.

Core Faculty

Dr. Nur Hamdan

Head of Product, aiXplain

Leading teams of researchers, engineers, and designers to design and operate the aiXplain agentic OS, which supports organizations all over the world to manage and deploy agentic AI at scale.

Core Faculty

Dr. Sanjika Hewavitharana

Head of AI Solutions, aiXplain

Leading a team of AI researchers to build next-gen AI systems, reshaping enterprise operations with scalable, high-impact solutions.

Core Faculty

Miqdad Dali

Field CTO, aiXplain

Leads technical strategy, oversees AI solution architecture, and bridges client needs with product capabilities. Expertise in enterprise AI adoption, technical strategy, and scalable solution delivery.

Core Faculty

Rakan Zabian

Head of Growth, aiXplain

Driving enterprise AI adoption across the full lifecycle, from qualification and solution design to contract close and delivery success. Architecting multi-agent system architectures that connect intelligence, data, and operations.

Guest Faculty

Marco Trombetti

Co-founder & CEO · Translated / ModernMT

Co-founder and CEO of Translated, the AI-driven language company behind ModernMT. A serial entrepreneur and investor whose machine translation research has been widely cited as evidence that AI has reached human parity in translation.

Guest Faculty

Dr. Mona Diab

Director, Language Technologies Institute · Carnegie Mellon University

Computer science professor and director of Carnegie Mellon University's Language Technologies Institute. Previously a professor at George Washington University and a research scientist with Facebook AI.

FAQs

Ready to run this program for your organization?

Tell us about your team and we'll design the right delivery: virtual, in-person, or hybrid.

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