Generative AI is transforming the way organizations build intelligent applications, automate complex processes, and extract value from enterprise data. This course provides a practical approach to designing, developing, deploying, and managing Generative AI solutions using the Databricks Data Intelligence Platform.

Participants will learn how to combine large language models (LLMs), Retrieval-Augmented Generation (RAG), vector search, and modern AI engineering practices to create scalable applications that deliver accurate, context-aware responses. Through hands-on exercises and real-world scenarios, learners will gain experience with the complete GenAI lifecycle—from data preparation and application design to deployment, governance, and operational monitoring.

The course emphasizes production-ready AI engineering, helping participants move beyond experimentation and build reliable, secure, and maintainable AI solutions for enterprise environments.

For corporate groups, we can organize this training as an on-site private group.

Prerequisites

Participants should have experience with:

Python programming
Natural Language Processing (NLP) fundamentals
Prompt engineering concepts
Large Language Models (LLMs)
Retrieval-Augmented Generation (RAG)
Embeddings and vector databases
Databricks notebooks and workflows
Basic ML lifecycle concepts

Experience with LangChain or similar orchestration frameworks is beneficial but not mandatory.

Who Should Attend

This course is designed for professionals involved in developing and operating AI-powered applications, including:

Data Scientists
Machine Learning Engineers
AI Engineers
MLOps Engineers
Data Engineers
Solution Architects
Software Developers working with LLMs
Technical teams implementing enterprise AI solutions

What You Will Learn

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

Understand the architecture of modern Generative AI systems.
Prepare enterprise data for AI applications.
Build scalable RAG solutions.
Work with embeddings and vector search technologies.
Develop compound AI workflows using orchestration frameworks.
Design autonomous AI agents.
Evaluate response quality, accuracy, and cost efficiency.
Deploy AI applications using Databricks serving capabilities.
Monitor AI performance and operational health.
Apply LLMOps best practices throughout the AI lifecycle.

Training Outline

Module 1 – Designing Enterprise Generative AI Solutions

This module introduces the core architectural concepts behind enterprise-grade Generative AI applications.

Topics

Generative AI architecture
Enterprise AI solution design
Retrieval-Augmented Generation concepts
Preparing enterprise knowledge sources
Embedding strategies
Vector databases
Semantic search
Building reliable retrieval pipelines

Practical Lab

Preparing knowledge data
Creating vector indexes
Building a basic RAG solution

Module 2 – Developing Intelligent AI Applications

Participants learn how to build advanced AI applications capable of handling complex business scenarios.

Topics

Large Language Model integration
Multi-step reasoning workflows
Prompt orchestration
AI workflow design
LangChain fundamentals
Agent-based architectures
Tool integration
Autonomous decision workflows

Practical Lab

Building reasoning chains
Creating AI agents
Integrating external tools

Module 3 – AI Quality, Governance and Responsible AI

This module focuses on ensuring AI applications remain accurate, secure, and trustworthy throughout their lifecycle.

Topics

AI evaluation frameworks
Response quality assessment
Hallucination detection
Responsible AI principles
Governance policies
Security considerations
Cost optimisation
Performance benchmarking

Practical Lab

Evaluating AI responses
Measuring application performance
Implementing governance controls

Module 4 – Deployment, Operations and Monitoring

Participants learn how to operationalize Generative AI solutions within enterprise environments.

Topics

Model deployment strategies
Batch inference
Real-time inference
Model Serving
LLMOps lifecycle
Workflow automation
Lakehouse Monitoring
Observability
Operational best practices

Practical Lab

Deploying AI services
Configuring monitoring dashboards
Tracking application performance

Hands-on Exercises

Throughout the course participants will complete practical exercises covering:

Building RAG applications
Creating vector search indexes
Implementing embedding pipelines
Developing AI agents
Constructing reasoning workflows
Evaluating GenAI outputs
Deploying production AI services
Monitoring AI systems
Applying governance policies
Optimising enterprise AI applications

Skills Gained

Upon successful completion of this course, participants will be able to design, build, deploy, and operate enterprise Generative AI applications using the Databricks platform. They will understand how to combine LLMs, RAG architectures, vector search, orchestration frameworks, and LLMOps practices to create scalable, secure, and production-ready AI solutions capable of supporting modern business requirements.

Why Choose Us

Leading UK-based global training provider since 1995.

Experience Gen AI Engineering with Databricks in Bahrain through Bilginç IT Academy's live and interactive virtual classroom environment. Join a Public course as an individual delegate or arrange a dedicated Private / In-house online training program exclusively for your organization.

Delivery Method: Online Instructor-Led
Participation Model: Public / Private (In-house)
Live and Interactive Training: Connect with your instructor in real time and actively participate through discussions, Q&A sessions, practical exercises, and group activities.
Flexible Participation: Join the training from your home, office, or any location with a suitable internet connection.
Expert Trainer Network: Learn from experienced trainers with strong industry backgrounds and practical field expertise.
Over 30 Years of Training Expertise: Benefit from Bilginç IT Academy's professional training experience since 1995.
Worldwide Access: Join our live virtual classrooms from Bahrain or anywhere else in the world, or arrange a dedicated online training program for your organization.

Experience Gen AI Engineering with Databricks through face-to-face Classroom Based training in Bahrain. Training can be delivered as a Public course open to individual delegates or as a dedicated Private / In-house class for your organization.

Delivery Method: Classroom Based
Participation Model: Public / Private (In-house)
Face-to-Face Learning: Interact directly with your instructor and fellow delegates in an engaging classroom environment.
Experienced Trainers: Learn from specialists with extensive industry experience and practical real-world knowledge.
Professional Training Environment: Attend training in comfortable, well-equipped classrooms designed to support effective learning.
Practical Learning: Depending on the course, reinforce your knowledge through hands-on exercises, scenarios, case studies, and instructor-led activities.

Arrange Gen AI Engineering with Databricks in Bahrain as a dedicated Onsite training program for your organization. Bilginç IT Academy trainers can deliver the training at your office or another location of your choice, with the program planned around your team's requirements and business objectives.

Delivery Method: Onsite
Participation Model: Private (In-house)
Training at Your Preferred Location: Organize the training at your company's office or another location selected by your organization.
Tailored Course Content: Adapt the training program to your projects, team structure, existing skill levels, and specific business requirements.
Team-Focused Learning: Develop your team around a shared knowledge base while strengthening internal collaboration and knowledge transfer.
Flexible Scheduling: Plan the training dates, location, and program according to your organization's operational requirements.
Worldwide Onsite Delivery: Arrange the training in Bahrain or at another preferred location worldwide. Bilginç IT Academy trainers can travel to your selected location to deliver the dedicated training program.

Gen AI Engineering with Databricks Training in Bahrain

Prerequisites

Who Should Attend

What You Will Learn

Training Outline

Module 1 – Designing Enterprise Generative AI Solutions

Topics

Practical Lab

Module 2 – Developing Intelligent AI Applications

Topics

Practical Lab

Module 3 – AI Quality, Governance and Responsible AI

Topics

Practical Lab

Module 4 – Deployment, Operations and Monitoring

Topics

Practical Lab

Hands-on Exercises

Skills Gained

Why Choose Us

Gen AI Engineering with Databricks Training Course in Bahrain Schedule

Gen AI Engineering with Databricks Training in Bahrain

Prerequisites

Who Should Attend

What You Will Learn

Training Outline

Module 1 – Designing Enterprise Generative AI Solutions

Topics

Practical Lab

Module 2 – Developing Intelligent AI Applications

Topics

Practical Lab

Module 3 – AI Quality, Governance and Responsible AI

Topics

Practical Lab

Module 4 – Deployment, Operations and Monitoring

Topics

Practical Lab

Hands-on Exercises

Skills Gained

Why Choose Us

Online Instructor-Led Training

Classroom Based Training

Onsite Training

Gen AI Engineering with Databricks Training Course in Bahrain Schedule