On-Premise AI: Building and Deploying Self-Hosted AI for Your Business
Master the art of building enterprise-grade AI systems on your own infrastructure under the guidance of industry experts. Enroll in our intensive training program that covers DataOps, MLOps, Large Language Model deployment, Retrieval-Augmented Generation systems, and fine-tuning techniques. Gain hands-on experience with Apache Airflow, MLflow, vector databases, and modern AI frameworks while developing production-ready solutions tailored to your business needs.
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Corporate Pricing
Pax:
Training Provider Pricing
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Features
Subsidies
What you'll learn
- Design and implement data pipelines using Apache Airflow and DataOps principles
- Deploy containerized AI solutions with comprehensive testing and documentation
- Build Retrieval-Augmented Generation systems with vector databases and AI agents
- Implement observability and monitoring for production AI systems
- Track experiments and manage model lifecycle with MLflow and CI/CD integration
- Deploy and optimize on-premise Large Language Models using quantization techniques
- Integrate DataOps and MLOps workflows for end-to-end AI pipeline automation
- Fine-tune Large Language Models using LoRA and PEFT for domain-specific tasks
Why should you attend?
This comprehensive course equips IT professionals with the skills to build, deploy, and manage self-hosted AI systems within their organization's infrastructure. Participants will master the complete AI lifecycle, from data pipeline architecture to production deployment, using industry-standard open-source tools and frameworks. The curriculum begins with DataOps foundations, teaching students to design robust data pipelines using Apache Airflow, implement data quality checks with Great Expectations, and manage data versioning with Data Version Control. Students will learn to orchestrate complex data workflows, handle diverse data sources, and prepare datasets for machine learning applications. The course then progresses to MLOps practices using MLflow, covering experiment tracking, hyperparameter optimization, model registry management, and continuous integration and deployment pipelines for machine learning models. Advanced modules focus on deploying Large Language Models on-premise, including model selection, quantization techniques to optimize memory usage, and serving infrastructure using Ollama and vLLM. Students will explore Retrieval-Augmented Generation systems using vector databases like ChromaDB and Qdrant, and build sophisticated AI agents with PydanticAI and LangGraph. The course covers fine-tuning strategies using Low-Rank Adaptation and Parameter-Efficient Fine-Tuning methods for domain-specific applications. The capstone project synthesizes all learned concepts, requiring teams to design and deploy a complete end-to-end AI pipeline with observability, monitoring, and production-ready deployment configurations. Throughout the course, hands-on labs reinforce theoretical concepts with practical implementation experience.
Course Syllabus
Day 1 - DataOps Foundations & Data Pipeline Architecture
Short Break
15 minsRecap and Q&A
15 minsLunch
1 hourShort Break
15 minsRecap and Q&A
15 minsEnd of Day 1
Day 2 - MLOps with MLflow & Model Development
Short Break
15 minsRecap and Q&A
15 minsLunch
1 hourShort Break
15 minsRecap and Q&A
15 minsEnd of Day 2
Day 3 - On-Premise LLM Deployment & Quantization
Short Break
15 minsRecap and Q&A
15 minsLunch
1 hourShort Break
15 minsRecap and Q&A
15 minsEnd of Day 3
Day 4 - RAG Systems & LLM Fine-Tuning
Short Break
15 minsRecap and Q&A
15 minsLunch
1 hourShort Break
15 minsRecap and Q&A
15 minsEnd of Day 4
Day 5 - Capstone Project - End-to-End AI Pipeline
Short Break
15 minsRecap and Q&A
15 minsLunch
1 hourShort Break
15 minsRecap and Q&A
15 minsEnd of Day 5
Ratings and Reviews
Instructor
Instructor
Dr. Esther Suria Kala is a highly accomplished ICT consultant and corporate trainer with nearly 30 years of extensive experience in information technology, project management, and organizational development. As the founder of Angel Software Solutions, she has established herself as a versatile and dedicated professional who delivers cutting-edge training solutions across Malaysia and internationally.
Her academic credentials are exceptional, including a PhD in Psychology with a focus on Human Behaviour and Human Resources, an MBA in Finance, and degrees in both Computer Science and Human Resources. Currently pursuing a second PhD in IT Information Security, Dr. Esther demonstrates an unwavering commitment to continuous learning and staying at the forefront of technological advancement. Her educational foundation is complemented by an impressive array of professional certifications, including Microsoft Certified Trainer (MCT), CISSP, ITIL, SAP Certified Associate, Certified Cyber Security Professional, Data Scientist, AI Engineering, and ECBA certifications.
Dr. Esther's technical expertise spans an extensive range of domains, from traditional programming languages like Java, C++, and PHP to modern technologies including Python, AI coding, machine learning, RPA, and IR 4.0 microservices. She is proficient in database management systems including Microsoft SQL Server and Oracle, web development frameworks, and enterprise solutions like SAP Crystal Reports and SharePoint Server. Her knowledge extends to cybersecurity, ethical hacking, network administration, and data analytics, making her uniquely qualified to address both technical and strategic business challenges.
As a trainer, Dr. Esther excels in bridging the gap between technical complexity and practical application. She delivers comprehensive training programs for both IT and non-IT professionals, covering everything from software development and cloud computing to soft skills such as digital marketing, business analysis, customer service, and project management. Her ability to communicate effectively in both English and Bahasa Malaysia enables her to connect with diverse audiences across different organizational levels.
Her impressive client portfolio includes leading organizations such as Maybank, Telekom Malaysia, Malaysian Airlines, Tenaga Nasional Berhad, Bank Negara, Ministry of Education, Ministry of Finance, and numerous multinational corporations. This extensive experience across banking, telecommunications, government, aviation, and technology sectors demonstrates her adaptability and deep understanding of varied industry requirements. Recognized with the Outstanding Achievement Award in Information Technology from University Malaya in 2013, Dr. Esther continues to empower organizations through innovative training solutions that drive digital transformation and professional excellence.
Instructor
Instructor Reviews
Mohammad Mehdi Lotfinejad
Chief Data Officer & Data Science Trainer"Mehdi and I worked on several projects with company such as Petronas , Shell and CIMB Regional ETC. I must say Mehdi's training was highly appreciated by our clients as he was able to exhibit in full display his vast knowledge as a Data professional. I would highly recommend him to anyone looking for a top tier training expert."
"Not only knowledgeable but also having hands dirty on what he knows Friendly and building networks quickly."
"I had the pleasure of working with Mehdi together on some high-level initiatives such as the Petronas data scientist program and Shell's project to become a data-driven organization. During these projects, Mehdi received numerous accolades for his ability to share his knowledge and mentor up-and-coming data scientists. Based on our shared experiences, I have no hesitation in recommending Mehdi for any project or position he may be considered for."
FAQ
Frequently Asked Questions About This Course
Courses you may like
Why should you attend?
This comprehensive course equips IT professionals with the skills to build, deploy, and manage self-hosted AI systems within their organization's infrastructure. Participants will master the complete AI lifecycle, from data pipeline architecture to production deployment, using industry-standard open-source tools and frameworks. The curriculum begins with DataOps foundations, teaching students to design robust data pipelines using Apache Airflow, implement data quality checks with Great Expectations, and manage data versioning with Data Version Control. Students will learn to orchestrate complex data workflows, handle diverse data sources, and prepare datasets for machine learning applications. The course then progresses to MLOps practices using MLflow, covering experiment tracking, hyperparameter optimization, model registry management, and continuous integration and deployment pipelines for machine learning models. Advanced modules focus on deploying Large Language Models on-premise, including model selection, quantization techniques to optimize memory usage, and serving infrastructure using Ollama and vLLM. Students will explore Retrieval-Augmented Generation systems using vector databases like ChromaDB and Qdrant, and build sophisticated AI agents with PydanticAI and LangGraph. The course covers fine-tuning strategies using Low-Rank Adaptation and Parameter-Efficient Fine-Tuning methods for domain-specific applications. The capstone project synthesizes all learned concepts, requiring teams to design and deploy a complete end-to-end AI pipeline with observability, monitoring, and production-ready deployment configurations. Throughout the course, hands-on labs reinforce theoretical concepts with practical implementation experience.
What you'll learn
- Design and implement data pipelines using Apache Airflow and DataOps principles
- Deploy containerized AI solutions with comprehensive testing and documentation
- Build Retrieval-Augmented Generation systems with vector databases and AI agents
- Implement observability and monitoring for production AI systems
- Track experiments and manage model lifecycle with MLflow and CI/CD integration
- Deploy and optimize on-premise Large Language Models using quantization techniques
- Integrate DataOps and MLOps workflows for end-to-end AI pipeline automation
- Fine-tune Large Language Models using LoRA and PEFT for domain-specific tasks
Course Syllabus
Day 1 - DataOps Foundations & Data Pipeline Architecture
Short Break
15 minsRecap and Q&A
15 minsLunch
1 hourShort Break
15 minsRecap and Q&A
15 minsEnd of Day 1
Day 2 - MLOps with MLflow & Model Development
Short Break
15 minsRecap and Q&A
15 minsLunch
1 hourShort Break
15 minsRecap and Q&A
15 minsEnd of Day 2
Day 3 - On-Premise LLM Deployment & Quantization
Short Break
15 minsRecap and Q&A
15 minsLunch
1 hourShort Break
15 minsRecap and Q&A
15 minsEnd of Day 3
Day 4 - RAG Systems & LLM Fine-Tuning
Short Break
15 minsRecap and Q&A
15 minsLunch
1 hourShort Break
15 minsRecap and Q&A
15 minsEnd of Day 4
Day 5 - Capstone Project - End-to-End AI Pipeline
Short Break
15 minsRecap and Q&A
15 minsLunch
1 hourShort Break
15 minsRecap and Q&A
15 minsEnd of Day 5
Instructor Reviews
Mohammad Mehdi Lotfinejad
Chief Data Officer & Data Science Trainer"Mehdi and I worked on several projects with company such as Petronas , Shell and CIMB Regional ETC. I must say Mehdi's training was highly appreciated by our clients as he was able to exhibit in full display his vast knowledge as a Data professional. I would highly recommend him to anyone looking for a top tier training expert."
"Not only knowledgeable but also having hands dirty on what he knows Friendly and building networks quickly."
"I had the pleasure of working with Mehdi together on some high-level initiatives such as the Petronas data scientist program and Shell's project to become a data-driven organization. During these projects, Mehdi received numerous accolades for his ability to share his knowledge and mentor up-and-coming data scientists. Based on our shared experiences, I have no hesitation in recommending Mehdi for any project or position he may be considered for."
Public Pricing
Corporate Pricing
Pax:
Training Provider Pricing
Pax:
Features
Subsidies
Ratings and Reviews
Instructors
Dr. Esther Suria Kala is a highly accomplished ICT consultant and corporate trainer with nearly 30 years of extensive experience in information technology, project management, and organizational development. As the founder of Angel Software Solutions, she has established herself as a versatile and dedicated professional who delivers cutting-edge training solutions across Malaysia and internationally.
Her academic credentials are exceptional, including a PhD in Psychology with a focus on Human Behaviour and Human Resources, an MBA in Finance, and degrees in both Computer Science and Human Resources. Currently pursuing a second PhD in IT Information Security, Dr. Esther demonstrates an unwavering commitment to continuous learning and staying at the forefront of technological advancement. Her educational foundation is complemented by an impressive array of professional certifications, including Microsoft Certified Trainer (MCT), CISSP, ITIL, SAP Certified Associate, Certified Cyber Security Professional, Data Scientist, AI Engineering, and ECBA certifications.
Dr. Esther's technical expertise spans an extensive range of domains, from traditional programming languages like Java, C++, and PHP to modern technologies including Python, AI coding, machine learning, RPA, and IR 4.0 microservices. She is proficient in database management systems including Microsoft SQL Server and Oracle, web development frameworks, and enterprise solutions like SAP Crystal Reports and SharePoint Server. Her knowledge extends to cybersecurity, ethical hacking, network administration, and data analytics, making her uniquely qualified to address both technical and strategic business challenges.
As a trainer, Dr. Esther excels in bridging the gap between technical complexity and practical application. She delivers comprehensive training programs for both IT and non-IT professionals, covering everything from software development and cloud computing to soft skills such as digital marketing, business analysis, customer service, and project management. Her ability to communicate effectively in both English and Bahasa Malaysia enables her to connect with diverse audiences across different organizational levels.
Her impressive client portfolio includes leading organizations such as Maybank, Telekom Malaysia, Malaysian Airlines, Tenaga Nasional Berhad, Bank Negara, Ministry of Education, Ministry of Finance, and numerous multinational corporations. This extensive experience across banking, telecommunications, government, aviation, and technology sectors demonstrates her adaptability and deep understanding of varied industry requirements. Recognized with the Outstanding Achievement Award in Information Technology from University Malaya in 2013, Dr. Esther continues to empower organizations through innovative training solutions that drive digital transformation and professional excellence.
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FAQ
Frequently Asked Questions About This Course
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