Coming Soon
Intermediate
Advanced Generative AI & LLM Engineering
Master advanced Generative AI and LLM engineering with RAG, GraphRAG, vector databases, fine-tuning, multimodal AI, model optimization, evaluation, security, deployment, and enterprise-grade AI application development for real-world business solutions.
Recommended Course Audience
Pre-Required Skills
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Strong Python programming skills
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Understanding of LLM application development
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Experience with Prompt Engineering and RAG workflows
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Familiarity with vector databases, APIs, and AI frameworks beneficial
Course Highlights
17 modulesDevelop advanced LLM engineering skills through Fine-Tuning, LangGraph, Agentic AI, Memory Systems, Evaluation, Security, and Multimodal AI. Learn to architect scalable and production-ready AI solutions for enterprise environments. By completion, learners can engineer sophisticated AI systems capable of handling complex business requirements.
Gain a deeper understanding of Large Language Model architectures, transformer components, attention mechanisms, scaling principles, and design concepts that power modern AI systems and advanced language models.
Learn advanced prompting strategies, context optimization techniques, reasoning patterns, and context management methods that improve model performance, accuracy, reliability, and task-specific response quality.
Explore advanced RAG architectures, retrieval strategies, document chunking, reranking techniques, hybrid search, and optimization methods for building accurate, scalable, and enterprise-ready AI applications.
Learn advanced vector database concepts including indexing, similarity search, metadata filtering, retrieval optimization, scaling strategies, and performance tuning for large-scale AI applications.
Design and develop intelligent AI agents capable of planning, reasoning, decision-making, tool usage, and autonomous task execution across complex workflows and real-world scenarios.
Master advanced LangChain components, custom chains, agents, memory systems, tool integrations, workflow orchestration, and enterprise-level application development using the LangChain framework.
Learn graph-based AI workflow design using LangGraph. Build stateful, multi-step AI applications with complex execution paths, decision logic, and agent orchestration capabilities.
Understand fine-tuning concepts, datasets, training workflows, and adaptation techniques. Learn how to customize language models for specific domains, tasks, and business requirements.
Explore open-source Large Language Models, deployment approaches, customization techniques, model selection strategies, and practical applications using modern open-source AI ecosystems.
Learn how AI systems retain and utilize information across interactions. Explore short-term, long-term, conversational, and knowledge-based memory architectures for intelligent applications.
Understand methods for evaluating AI performance, response quality, reliability, and system behavior. Learn monitoring, testing, observability, and continuous improvement techniques for production AI systems.
Learn advanced AI security practices, risk mitigation strategies, privacy considerations, adversarial threats, governance principles, and responsible AI engineering for enterprise environments.
Explore AI systems that process and generate multiple data types including text, images, audio, and video. Learn architectures, workflows, and practical multimodal AI applications.
Learn how to integrate AI into enterprise systems, automate complex workflows, connect business applications, and develop scalable AI-driven business solutions.
Understand deployment architectures, inference optimization, model serving, scalability techniques, cloud deployment strategies, and operational best practices for Generative AI systems.
Apply advanced concepts to design, develop, deploy, and evaluate enterprise-scale Generative AI solutions that address real-world business challenges using modern AI technologies.
$299.00
This course is coming soon. Enrollment is not yet open.
For any support or technical enquiries, please reach out to info@solixacademy.com
Level
:
Intermediate
Modules
:
17
Duration
:
100 hours