Large Language Models Meta AI Training Course
Large Language Models (LLMs) developed by Meta AI are sophisticated deep learning systems designed to comprehend and generate human-like text. These models are extensively utilized in areas such as chatbots, text summarization, sentiment analysis, and content generation.
Targeting intermediate to advanced AI researchers, data scientists, and developers, this live, instructor-led session (delivered online or onsite) focuses on understanding, fine-tuning, and implementing Meta AI's Large Language Models for a variety of NLP tasks.
By the conclusion of this training, participants will be capable of:
- Comprehending the architecture and internal workings of Meta AI's Large Language Models.
- Establishing and fine-tuning Meta AI LLMs for targeted applications.
- Building LLM-based applications, including text summarization, chatbots, and sentiment analysis.
- Optimizing and deploying large language models with efficiency in mind.
Course Format
- Engaging lectures complemented by open discussions.
- Extensive exercises and practical drills.
- Hands-on implementation within a live-lab setting.
Customization Options
- For tailored training requirements, please reach out to us to discuss bespoke arrangements.
Course Outline
Introduction to Large Language Models
- Fundamentals of Natural Language Processing (NLP)
- Overview of Large Language Models (LLMs)
- Meta AI's significant contributions to LLM evolution
Exploring the Architecture of Meta AI LLMs
- Transformer architecture and self-attention mechanisms
- Methods for training large-scale models
- Benchmarking against other LLMs (e.g., GPT, BERT, T5)
Preparing the Development Environment
- Installation and configuration of Python and Jupyter Notebook
- Interacting with Hugging Face and Meta AI’s model repositories
- Leveraging cloud-based or local GPUs for training workloads
Fine-Tuning and Customizing Meta AI LLMs
- Loading pre-trained model weights
- Fine-tuning using domain-specific datasets
- Applying transfer learning strategies
Developing NLP Applications with Meta AI LLMs
- Creating chatbots and conversational AI systems
- Implementing text summarization and paraphrasing capabilities
- Conducting sentiment analysis and content moderation
Optimizing and Deploying Large Language Models
- Enhancing inference speed through performance tuning
- Applying model compression and quantization methods
- Deploying LLMs via APIs and cloud infrastructure
Ethical Considerations and Responsible AI
- Identifying and mitigating bias in LLMs
- Promoting transparency and fairness in AI model design
- Exploring future trends and advancements in AI
Requirements
- A foundational grasp of machine learning and deep learning principles
- Proficiency in Python programming
- Aquaintance with core Natural Language Processing (NLP) concepts
Target Audience
- AI Researchers
- Data Scientists
- Machine Learning Engineers
- Software Developers with an interest in NLP
Need help picking the right course?
southafrica@nobleprog.co.za or +27 (0)10 005 5793
Large Language Models Meta AI 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 proficiency in Devstral through this live training session held in Kenya. The curriculum addresses architecture, agentic workflow design, and tool integration. Designed for advanced 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 Kenya is tailored for machine learning engineers aiming to master the self-hosting and fine-tuning of Devstral and Mistral models. Participants will acquire practical skills in governance, monitoring, and compliance, enabling them 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 Kenya focuses on Le Chat Enterprise, a private ChatOps solution designed for secure, governed conversational AI. Learners will master the deployment, configuration, and integration of this platform with enterprise applications. The course enables the implementation of RBAC, SSO, and compliance-driven controls to drive scalable and secure AI workflows.
Cost-Effective LLM Architectures: Mistral at Scale (Performance / Cost Engineering)
14 HoursAchieve mastery in building cost-efficient Mistral LLM architectures through this 14-hour live training held in Kenya. Gain the skills to deploy, optimize, and scale Mistral Medium 3 for peak throughput and minimal cost, leveraging batching, quantization, and streamlined serving strategies to handle enterprise workloads.
Productizing Conversational Assistants with Mistral Connectors & Integrations
14 HoursThis live training held in Kenya focuses on embedding Mistral conversational assistants into enterprise workflows. Attendees will acquire the skills to link SaaS tools, apply retrieval-augmented generation techniques, and create effective UX patterns for both customer-facing and internal chat interfaces.
Enterprise-Grade Deployments with Mistral Medium 3
14 HoursThis instructor-led training in Kenya enables advanced AI engineers to deploy and secure Mistral Medium 3. Participants will learn to optimize inference costs, build multimodal use cases, and enforce enterprise compliance standards. The program includes hands-on labs covering both API and self-hosted implementations.
Mistral for Responsible AI: Privacy, Data Residency & Enterprise Controls
14 HoursThis live Mistral Responsible AI training in Kenya is curated for compliance and security leaders. You will gain proficiency in privacy-preserving techniques, data residency strategies, and enterprise controls like RBAC and SSO to guarantee secure and compliant AI deployment.
Multimodal Applications with Mistral Models (Vision, OCR, & Document Understanding)
14 HoursGain expertise in building multimodal applications using Mistral models, with a focus on OCR, document intelligence, and vision-text search. This practical training covers pipeline implementation, NLP integration, and enterprise-grade architecture, delivered either online or in Kenya.
