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InnosoftGulf
AI Agents for Business Applications - July 2026
Enrollment is Closed
Certificate Programme · Practical AI Agent Development
AI Agents for Business Applications: Practitioner Programme
Build practical AI agents that work with documents, databases, APIs and real business workflows.
This hands-on programme guides you through the design, development and deployment of controlled AI agents. You will build retrieval systems, create controlled tools, connect agents to approved data sources, design multi-step workflows and evaluate their reliability.
Based on practical systems developed at Innosoft Gulf, the programme uses managed development environments, local language models and private AI infrastructure. The focus is on practical implementation, controlled access to data and reliable business use cases.
Quick facts
Duration
15 hours live
Format
6 practical sessions
Delivery
In-person or live online
Level
Intermediate · Practitioner
Certificate
Innosoft Gulf certificate
Focus
RAG · Tools · Workflows · Deployment
What you will build
During the programme, you will develop an AI agent that can:
Work with approved documents and business knowledge
Retrieve relevant information using vector search and RAG pipelines
Connect to databases, APIs and controlled Python tools
Follow structured multi-step workflows
Validate inputs and handle errors safely
Produce grounded responses with clear sources
Operate using local or private language models
Curriculum
6 sessions · practical labs · final working agent
The programme draws on Innosoft Gulf’s practical AI-agent systems as instructor case studies, including request classification, parameter validation, controlled database tools, local language models and deployment patterns.
Practical learning environment
Participants work in managed development environments running on Innosoft Gulf’s private AI and big-data infrastructure. The practical labs include:
Local language models through Ollama and Qwen
Document retrieval and vector search using Weaviate
Controlled PostgreSQL database access
Python tools and REST API integrations
Selected HDFS and Spark data examples
Application deployment and integration patterns
Each participant works in an isolated training environment with approved datasets, read-only accounts and controlled system access.
Requirements
Participants should be familiar with basic Python, APIs or data workflows.
Advanced software engineering experience is not required, but this is a technical, hands-on practitioner programme. Participants should be ready to write and modify code, work with notebooks or development environments and follow guided implementation exercises.
Who this programme is for
Python developers and software engineers
Data analysts and data scientists
Technical consultants and solution architects
AI practitioners building business applications
Technical managers and founders
Certificate
Participants who complete the course activities and final practical work receive an Innosoft Gulf certificate of completion. KHDA attestation may be available where applicable.
Frequently Asked Questions
Is this course practical or theoretical?
The course is highly practical. Participants work through guided labs and build working AI-agent components throughout the programme.
Do I need advanced programming experience?
No. Advanced software engineering experience is not required. However, participants should have basic Python knowledge and be comfortable following technical exercises.
Will I build a real AI agent?
Yes. The course is structured around building practical AI-agent components, including document retrieval, tool use, API/database access, workflow control and deployment patterns.
Does the course use cloud AI APIs only?
No. The course also introduces local and private language model deployment using tools such as Ollama and Qwen, with an emphasis on controlled and private AI infrastructure.