LlamaIndex: Developing LLM Powered Applications Training Course
LlamaIndex is a robust indexing tool engineered to boost the capabilities of Large Language Models (LLMs) by enabling them to efficiently retrieve and leverage custom datasets.
This instructor-led, live training (available online or onsite) is designed for intermediate to advanced developers and data scientists keen on mastering LlamaIndex to create innovative LLM-driven applications.
Upon completion of this training, participants will be able to:
- Set up and configure LlamaIndex to work with LLMs.
- Index and query custom datasets using LlamaIndex to augment LLM functionality.
- Design and develop sophisticated applications that integrate LlamaIndex and LLMs.
- Understand and apply best practices for working with LLMs and LlamaIndex.
- Navigate the ethical considerations involved in deploying LLM-powered applications.
Course Format
- Interactive lectures and discussions.
- Extensive exercises and practical sessions.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- To request customized training for this course, please contact us to make arrangements.
Course Outline
Introduction to LlamaIndex
- Understanding LlamaIndex and its role in LLMs.
- Setting up LlamaIndex: environment and prerequisites.
- The basics of indexing custom data.
LlamaIndex in Action
- Querying with LlamaIndex: techniques and best practices.
- Building query and chat engines with LlamaIndex.
- Creating intuitive Streamlit interfaces for LLM applications.
Advanced LlamaIndex Features
- Employing retrieval-augmented generation (RAG) for enhanced data retrieval.
- Leveraging vector stores for efficient data management.
- Designing and implementing LlamaIndex agents.
Application Development with LlamaIndex
- Prompt engineering: chain of thought, ReAct, and few-shot prompting.
- Developing a documentation helper: a real-world LLM application.
- Debugging and testing LLM applications.
Deployment and Scaling
- Deploying LlamaIndex-based applications.
- Scaling LLM applications for high performance.
- Monitoring and optimizing LLM applications.
Ethical and Practical Considerations
- Navigating ethical implications in LLM applications.
- Ensuring privacy and data security with LlamaIndex.
- Preparing for future developments in LLM technology.
Summary and Next Steps
Requirements
- A solid understanding of Python programming and foundational machine learning concepts.
- Experience with APIs and application development.
- Familiarity with natural language processing is advantageous but not mandatory.
Audience
- Developers
- Data scientists
Need help picking the right course?
southafrica@nobleprog.co.za or +27 (0)10 005 5793
LlamaIndex: Developing LLM Powered Applications Training Course - Enquiry
Related Courses
Advanced LangGraph: Optimization, Debugging, and Monitoring Complex Graphs
35 HoursBuilding Coding Agents with Devstral: From Agent Design to Tooling
14 HoursGain expertise in Devstral through this live training conducted in Nigeria. The curriculum dives into architecture, agentic workflow design, and tool integration. Tailored for senior engineers, the course utilizes hands-on labs to construct coding agents that elevate productivity and security within contemporary development ecosystems.
Open-Source Model Ops: Self-Hosting, Fine-Tuning and Governance with Devstral & Mistral Models
14 HoursThis instructor-led training in Nigeria is designed for ML engineers looking to master the self-hosting and fine-tuning of Devstral and Mistral models. Learners acquire practical skills in governance, monitoring, and compliance to deploy open-source AI solutions with confidence in production settings.
LangGraph Applications in Finance
35 HoursLangGraph Foundations: Graph-Based LLM Prompting and Chaining
14 HoursLangGraph in Healthcare: Workflow Orchestration for Regulated Environments
35 HoursLangGraph for Legal Applications
35 HoursBuilding Dynamic Workflows with LangGraph and LLM Agents
14 HoursLangGraph for Marketing Automation
14 HoursLe Chat Enterprise: Private ChatOps, Integrations & Admin Controls
14 HoursThis live training in Nigeria covers Le Chat Enterprise, a private ChatOps solution for secure, governed conversational AI. Learners will deploy, configure, and integrate it with enterprise apps, enabling RBAC, SSO, and compliance-driven controls for scalable, secure AI workflows.
Cost-Effective LLM Architectures: Mistral at Scale (Performance / Cost Engineering)
14 HoursGain mastery over cost-efficient Mistral LLM architectures through this 14-hour live training in Nigeria. Discover how to deploy, optimize, and scale Mistral Medium 3 to maximize throughput while minimizing costs, leveraging batching, quantization, and efficient serving strategies for enterprise applications.
Productizing Conversational Assistants with Mistral Connectors & Integrations
14 HoursThis live session in Nigeria focuses on embedding Mistral conversational assistants into enterprise workflows. Attendees will master connecting SaaS tools, applying retrieval-augmented generation, and crafting effective UX patterns for both customer and internal chat interfaces.
Enterprise-Grade Deployments with Mistral Medium 3
14 HoursThis instructor-led course in Nigeria empowers senior AI engineers to deploy and secure Mistral Medium 3 effectively. You will learn to optimize inference costs, build multimodal applications, and implement enterprise-grade compliance measures. The program includes hands-on labs for both API and self-hosted configurations.
Mistral for Responsible AI: Privacy, Data Residency & Enterprise Controls
14 HoursThis live Mistral Responsible AI training in Nigeria is specifically tailored for compliance and security professionals. You will gain expertise in privacy-preserving techniques, data residency strategies, and enterprise controls such as RBAC and SSO, ensuring secure and compliant AI deployment.
Multimodal Applications with Mistral Models (Vision, OCR, & Document Understanding)
14 HoursGain the skills to develop multimodal applications utilizing Mistral models, with a specific focus on OCR, document intelligence, and vision-text search. This practical training covers pipeline implementation, NLP integration, and enterprise-grade architecture, available online or in Nigeria.
