Agentic AI Professional Program

Course Description

The Agentic AI Professional Program is a hands-on programme for professionals who want to design, build, test and deploy practical AI agents. Participants work with Python, guided Jupyter notebooks, local and open-source language models, approved tools, business data and controlled workflows to develop an agent for a real professional or organisational use case.

The programme moves beyond AI awareness into practical implementation. Participants learn how to connect language models to documents, vector databases, APIs, Python tools and business systems; add validation, human approval and reliability controls; and deploy suitable projects through a web interface, Telegram or an API.

A Natural Next Step for Innosoft AI Professional Program Alumni

If you previously completed Innosoft Gulf’s AI Professional Program, this programme builds on your existing Python and AI foundations and takes you into modern Agentic AI, including tool use, retrieval-augmented generation, controlled workflows, evaluation, reliability and deployment.

Alumni of the Innosoft Gulf AI Professional Program may contact us regarding the current alumni registration offer.

Who This Programme Is For

This programme is designed for participants who want to move beyond using AI tools and learn how to build practical AI-agent systems.

  • Innosoft Gulf AI Professional Program alumni
  • Developers and software professionals
  • Data analysts, data scientists and data-engineering professionals
  • IT and technical professionals working with automation, APIs or business systems
  • Entrepreneurs and technically minded professionals who want to build AI-agent applications

Quick Facts

Total Duration 16 live instructor-led hours + guided capstone development
Format Evening cohort: 8 sessions × 2 hours
Saturday cohort: 5 sessions × 3 hours + capstone review
Delivery Dubai Knowledge Park or live online
Hands-On Environment Python + Jupyter notebooks
Prerequisite Basic Python familiarity
Cohort Size Maximum 12 participants
Project Outcome Working AI agent
Certificate Innosoft Gulf · KHDA attestation available
Professional Certification Optional Innosoft Certified Agentic AI Professional pathway

Ready to Build Your Own AI Agent?

Apply for the October 2026 cohort, or continue below to review the real-world agent systems, schedule and full curriculum.

Agent Systems Built by Innosoft Gulf

The programme is built from practical AI-agent systems developed by Innosoft Gulf. The design patterns, reliability controls and deployment approaches taught in the programme draw on these systems.

Tax and compliance

FTA Tax & Document Intelligence Agent

Answers VAT and Corporate Tax questions from official UAE Federal Tax Authority material, returning source-referenced responses instead of unverified model output.

Multimodal RAG Vector search Source attribution

You build these patterns in Module 4

Real-time market data

Market Monitoring & Intelligence Agent

Monitors live crypto futures data from major exchanges such as Binance and Bybit, together with commodities market data, detecting significant market activity and producing AI-assisted interpretation.

Streaming ingestion Event detection Monitoring & alerting

You build these patterns in Modules 3 and 6

Controlled business actions

Google Calendar Agent

Reads and modifies calendar entries through Telegram using local models and tool calling, with human approval required before any create, update or delete action.

Tool calling Human approval Kubernetes deployment

You build these patterns in Modules 5 and 8

These systems are developed by Innosoft Gulf for technical research, training and demonstration purposes. The tax agent is not a substitute for professional tax advice, and the market monitoring agent does not provide investment advice or trading recommendations.

Programme Schedule and Fees

Cohort Delivery Dates Schedule Fee
October 2026
Evening Cohort
In person or live online
Dubai Knowledge Park
6–29 October 2026 Tuesdays & Thursdays
7:00 PM–9:00 PM GST
8 sessions × 2 hours
Early Registration: USD 1,650
Payment received by 22 September 2026

Standard Fee: USD 1,950
Applies after 22 September 2026

VAT inclusive
October 2026
Saturday Cohort
In person or live online
Dubai Knowledge Park
10 October–7 November 2026 Saturdays
10:00 AM–1:00 PM GST
5 sessions × 3 hours
+ 1-hour capstone review
Early Registration: USD 1,650
Payment received by 22 September 2026

Standard Fee: USD 1,950
Applies after 22 September 2026

VAT inclusive

Evening cohort sessions: 6, 8, 13, 15, 20, 22, 27 and 29 October 2026.

Saturday cohort sessions: 10, 17, 24 and 31 October, and 7 November 2026, plus a scheduled 1-hour live capstone review. Both cohorts total 16 live hours.

What the Fee Includes

  • 16 live instructor-led hours in a cohort limited to 12 participants
  • Access to Innosoft Gulf’s private AI infrastructure during the programme and the agreed project period
  • Guided Jupyter notebooks, local model access, vector search and prepared datasets
  • Instructor review and guided development of your capstone agent
  • Deployment of technically suitable projects on Innosoft Gulf’s Kubernetes infrastructure
  • Certificate of completion, with KHDA attestation available for eligible certificates

Corporate and Group Registration

Group rates are available from three participants, and private cohorts can be arranged for organisations. VAT-exclusive invoices, purchase-order terms and bank-transfer details are available on request.

Request a corporate quotation

Registration

Registration closes on 28 September 2026 or when the cohort reaches its 12-participant capacity. Places are confirmed upon receipt of payment. Cohort transfers may be accommodated subject to availability.

From an Agent Idea to a Working Implementation

1. Define the Agent Project

Define the users, business problem, approved data sources, tools and actions your agent will support.

2. Build the Agent Workflow

Connect local language models to documents, vector databases, APIs, business data and approved Python tools.

3. Make It Reliable and Controlled

Add validation, evaluation, logging, error handling and human approval for actions that affect business systems or data.

4. Deploy and Demonstrate

Move beyond the notebook and deploy technically suitable projects through Telegram, a web interface or an API.

Choose a Practical AI Agent Project

Bring your own idea or select one of the project directions below. Each project is scoped around a realistic workflow, approved data sources and tools, and a clear professional or organisational outcome.

  • Lead Generation and Sales Follow-Up Agent
  • Real Estate Enquiry and Property Agent
  • Productivity and Administrative Agent
  • Document Processing and Compliance Agent
  • Financial Market Intelligence and Monitoring Agent
  • Business Research and Management-Reporting Agent

Other project ideas are welcome. Participants work with the instructor to define a realistic technical scope that can be developed and demonstrated during the programme.

Learning Outcomes

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

  • Distinguish chatbots, automated workflows and Agentic AI systems.
  • Build controlled agent workflows using Python and guided Jupyter notebooks.
  • Use reflection, critique and evaluation patterns to improve agent outputs.
  • Create and connect approved tools, structured outputs and business functions.
  • Build document-intelligence and RAG workflows using local embeddings and vector search.
  • Design human-approval boundaries, validation and recovery mechanisms for agent actions.
  • Evaluate agent reliability, privacy, safety and operational limitations.
  • Develop, deploy and demonstrate a practical AI agent using Innosoft Gulf’s managed infrastructure.

Ready to Build an AI Agent?

Apply for the programme and tell us about your background and the project you would like to build.

Programme Curriculum

Eight modules take participants from the foundations of agentic workflows through tools, RAG, human controls, reliability, capstone development and deployment.

Module 1

From Language Models to Agentic Workflows

Key Topics

  • Chatbots, workflows and agents: practical differences
  • Degrees of autonomy and appropriate human oversight
  • Task decomposition, state and controlled information sources
  • Running a local Small Language Model through Ollama
Practical lab: Build a controlled Research Agent.

Module 2

Reflection, Critique and Output Improvement

Key Topics

  • Direct generation versus review-and-revise workflows
  • Generator, critic and reviser roles
  • Business rubrics and measurable quality criteria
  • Automated evaluation checks and human feedback
Practical lab: Build a reflection workflow that critiques and improves an output.

Module 3

Tool Use, Structured Outputs and Safe Refusal

Key Topics

  • Tool calling and function calling for business applications
  • Creating approved Python tools with defined inputs and outputs
  • Structured extraction and routing requests to the correct tool
  • Comparing model-only answers with tool-grounded responses
  • Logging tool actions and refusing when reliable evidence is unavailable
Practical lab: Build an agent that selects and uses approved business tools.

Module 4

Document Intelligence and Multimodal RAG

Key Topics

  • PDF text extraction and page rendering
  • Analysing tables, charts and visual page content
  • Chunking, local embeddings and vector search with Weaviate
  • Grounded retrieval and source-aware answers
  • Local vision and language models for private document workflows
Practical lab: Build a multimodal document question-answering workflow.

Module 5

Controlled Workflows and Human Approval

Key Topics

  • Deterministic business rules versus model interpretation
  • Read-only actions versus actions that modify business data
  • Clarification, availability checks and pending actions
  • Human approval before create, update or delete operations
  • Calendar Agent case study: Telegram, Google Calendar and local inference
Practical lab: Design a multi-step workflow with an approval boundary.

Module 6

Reliability, Validation and Recovery

Key Topics

  • Planning an action before execution
  • Validating generated code or structured actions
  • Repairing invalid outputs and applying restricted execution
  • Database updates, verification and automatic rollback
  • Visible fallbacks and audit-friendly logs
Practical lab: Build a reliable local customer-service workflow agent.

Module 7

Capstone Project Development

Key Topics

  • Select and define a realistic business or organisational problem
  • Design the agent architecture, approved tools and boundaries
  • Combine tool use with at least two additional agentic patterns
  • Add safety checks, logging and evaluation tests
  • Instructor review and guided project development
Project activity: Develop and test the participant’s capstone AI agent.

Module 8

Deployment, Evaluation and Project Demonstration

Key Topics

  • Telegram, API or web-interface integration options
  • Local, cloud and hybrid deployment trade-offs
  • Containerisation and Kubernetes deployment overview
  • Logging, health checks, privacy and access boundaries
  • Final project demonstration and evaluation
  • Limitations, required human oversight and implementation roadmap
Final presentation: Demonstrate the working agent and explain its architecture, data sources, tools, safeguards, limitations and deployment approach.

Develop on Innosoft Gulf’s Private AI Infrastructure

Participants receive controlled access to Innosoft Gulf’s private AI and data platform so they can focus on developing agents rather than purchasing servers or configuring the complete technology stack.

  • Open-source AI models: local language and vision models through Ollama.
  • Databases and project data: vector search, relational data, documents, PDFs, text, tables, images and approved datasets.
  • Hosted development environments: managed JupyterHub, guided notebooks, browser-based coding workspaces and prepared Python libraries.
  • Agent deployment: technically suitable projects can be packaged as containerised services and deployed on Innosoft Gulf’s Kubernetes infrastructure.

Infrastructure access is provided during the programme and the agreed project-development period. Continued production hosting, service-level commitments and long-term operational support can be agreed separately.

Private Cohorts for Organisations

The programme can be delivered as a private cohort for a single organisation, at Dubai Knowledge Park, at your premises, or live online. Private cohorts are scoped around your own systems, documents and approved use cases, so each participant develops an agent addressing a real internal workflow.

  • Up to 12 participants per cohort
  • Schedule arranged around your team’s availability
  • Capstone projects scoped to your organisation’s approved data and systems
  • Continued hosting and operational support available under separate agreement
Discuss a private cohort

Prerequisites

Basic Python familiarity is recommended. Participants should be comfortable reading and modifying guided notebooks; advanced software-engineering experience is not required.

  • General familiarity with AI tools or language models
  • Interest in documents, APIs, databases or workflow automation
  • A laptop for accessing the hosted project environment

Participants who need stronger Python foundations can first complete Innosoft Gulf’s Python Programming Foundations programme.

Certificate Requirements

Participants who meet the programme requirements receive an Innosoft Gulf certificate of completion, with KHDA attestation available for eligible certificates.

  • Attendance at the live sessions
  • Completion of the guided laboratory exercises
  • Submission or presentation of a final working agent prototype or structured implementation project
  • Explanation of the project’s data sources, tools, workflow, safeguards and limitations

Optional Professional Credential

Innosoft Certified Agentic AI Professional

Innosoft Gulf is developing a separate professional credential that assesses both knowledge of core Agentic AI concepts and the practical ability to design, build, evaluate and explain an AI-agent solution. Graduates of this programme will be eligible to sit the assessment. The credential is independent of the programme’s certificate of completion, and details will be published on the certification page.

Participant Testimonials

“If you want to master AI agents, Innosoft’s AI Agents for Business Applications programme is the real deal. The progression from core basics such as RAG to complex workflows is incredibly well structured. They do not just teach theory. Innosoft provides a high-performance platform and JupyterLab environment for hands-on practice.”

Eureka Ilunga

Software Engineer

Feedback relates to the technical AI-agent programme previously offered under the AI Agents for Business Applications name.

“Great courses with plenty of real-world examples and hands-on labs. The Agentic AI training was engaging, practical and well structured. Ahmed explains challenging concepts clearly and creates a positive learning atmosphere.”

Paulo Araujo

Data Science Professor

“They are truly passionate about the subject, and their energy is contagious. They create a supportive learning environment that encourages participation and critical thinking.”

Maggie Chung

Sales and Marketing Professional

Testimonials are based on participant feedback from Innosoft Gulf training programmes. Some quotations have been shortened for presentation without changing their meaning.

Frequently Asked Questions

How much Python experience do I need? Basic Python familiarity is recommended. Participants work from guided notebooks with instructor support, and modern AI-assisted coding tools are used throughout, so rusty Python is not a barrier. Advanced software-engineering experience is not required.
I completed the Innosoft AI Professional Program several years ago. Can I join? Yes. Previous AI Professional Program participants are a natural audience for this programme. If you would like a Python refresher before the cohort, Innosoft Gulf can provide recommended review material.
How long do I keep access to the infrastructure? Access is provided throughout the live sessions and for the agreed project-development period following the final session, so you can complete and demonstrate your agent. Continued production hosting can be arranged separately.
Does the programme use cloud AI APIs? The core practical work emphasises local and open-source models through Ollama. Cloud, private and hybrid options are also discussed so participants understand the trade-offs.
Will I build my own AI agent? Yes. The programme is project-based. Participants work toward a practical agent prototype or structured implementation project that they can demonstrate and explain.
What happens after I apply? Innosoft Gulf reviews your application and proposed project idea, confirms cohort availability, and sends payment and onboarding instructions. Early-registration pricing applies to payments received by 22 September 2026.

Build Your Own AI Agent

Apply for the Agentic AI Professional Program and tell us about the professional or organisational problem you would like to address.

Apply for the Programme Contact Innosoft Gulf
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