Open-Source GenAI Development Training Course
Unlock the potential of open-source Generative Artificial Intelligence with our expertly crafted course designed to elevate your skills in this dynamic field. Dive into cutting-edge technologies including Local Model Management, Prompt Engineering Fundamentals, LangChain Frameworks, Retrieval-Augmented Generation with LlamaIndex, Type-Safe AI Development with PydanticAI, Multimodal AI capabilities, and more. Our program is meticulously tailored to provide you with a robust understanding of integrating various frameworks into cohesive solutions while ensuring ethical considerations are met. Join us to transform your proficiency in AI development under the guidance of industry experts.
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What you'll learn
- Ensure security and ethical compliance in AI deployments
- Implement local model management systems for optimized inference
- Design effective prompts using chain-of-thought techniques
- Compare open-source versus commercial GenAI ecosystems
- Configure development environments using Docker, Python, and Node.js
- Develop data ingestion pipelines utilizing vector databases
- Integrate LangChain framework components for enterprise solutions
- Navigate transformer architectures within the Hugging Face ecosystem
Why should you attend?
This course provides an in-depth exploration of the open-source Generative AI landscape, offering a comprehensive understanding of both the ecosystem and the technical setup required to thrive within it. Participants will begin by comparing open-source and commercial GenAI ecosystems, learning how to configure development environments using tools like Docker, Python, and Node.js. The course also covers essential hardware requirements and optimization strategies to ensure efficient AI model deployment. As learners progress, they will delve into local model management and inference techniques, comparing platforms such as LM Studio and Ollama. This includes hands-on labs for setting up multiple model management systems, downloading models, quantization, optimization, and benchmarking local inference performance. Prompt engineering fundamentals are also covered extensively, with a focus on design patterns, best practices, and evaluation methodologies. The curriculum further explores advanced topics such as LLM architecture with a deep dive into transformer architectures and the Hugging Face ecosystem. Students will learn about tokenization, embeddings, and fine-tuning basics through practical labs. Data preprocessing strategies are discussed alongside vector database options like Chroma and FAISS. Participants will gain insights into frameworks like LangChain for enterprise knowledge management and Retrieval-Augmented Generation (RAG) using LlamaIndex. The course also emphasizes type-safe AI development with PydanticAI for structured data extraction and validation. Finally, students will explore AI agents and automation frameworks, multimodal AI capabilities, production deployment strategies with MLOps, security considerations in AI systems, and integration projects for performance optimization.
Course Syllabus
Day 1 - GenAI Setup Fundamentals
Short Break
15 minsRecap and Q&A
15 minsLunch
1 hourShort Break
15 minsRecap and Q&A
15 minsEnd of Day 1
Day 2 - Local Model Management
Short Break
15 minsRecap and Q&A
15 minsLunch
1 hourShort Break
15 minsRecap and Q&A
15 minsEnd of Day 2
Ratings and Reviews
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
FAQ
Frequently Asked Questions About This Course
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Why should you attend?
This course provides an in-depth exploration of the open-source Generative AI landscape, offering a comprehensive understanding of both the ecosystem and the technical setup required to thrive within it. Participants will begin by comparing open-source and commercial GenAI ecosystems, learning how to configure development environments using tools like Docker, Python, and Node.js. The course also covers essential hardware requirements and optimization strategies to ensure efficient AI model deployment. As learners progress, they will delve into local model management and inference techniques, comparing platforms such as LM Studio and Ollama. This includes hands-on labs for setting up multiple model management systems, downloading models, quantization, optimization, and benchmarking local inference performance. Prompt engineering fundamentals are also covered extensively, with a focus on design patterns, best practices, and evaluation methodologies. The curriculum further explores advanced topics such as LLM architecture with a deep dive into transformer architectures and the Hugging Face ecosystem. Students will learn about tokenization, embeddings, and fine-tuning basics through practical labs. Data preprocessing strategies are discussed alongside vector database options like Chroma and FAISS. Participants will gain insights into frameworks like LangChain for enterprise knowledge management and Retrieval-Augmented Generation (RAG) using LlamaIndex. The course also emphasizes type-safe AI development with PydanticAI for structured data extraction and validation. Finally, students will explore AI agents and automation frameworks, multimodal AI capabilities, production deployment strategies with MLOps, security considerations in AI systems, and integration projects for performance optimization.
What you'll learn
- Ensure security and ethical compliance in AI deployments
- Implement local model management systems for optimized inference
- Design effective prompts using chain-of-thought techniques
- Compare open-source versus commercial GenAI ecosystems
- Configure development environments using Docker, Python, and Node.js
- Develop data ingestion pipelines utilizing vector databases
- Integrate LangChain framework components for enterprise solutions
- Navigate transformer architectures within the Hugging Face ecosystem
Course Syllabus
Day 1 - GenAI Setup Fundamentals
Short Break
15 minsRecap and Q&A
15 minsLunch
1 hourShort Break
15 minsRecap and Q&A
15 minsEnd of Day 1
Day 2 - Local Model Management
Short Break
15 minsRecap and Q&A
15 minsLunch
1 hourShort Break
15 minsRecap and Q&A
15 minsEnd of Day 2
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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