Natural Language Processing (NLP) Training in Maia

This instructor-led live training in Maia (online or onsite) is designed for intermediate-level AI professionals, business analysts, and technology leaders who want to understand the principles of generative AI and explore LLM applications within business environments. Participants will learn about transformers, prompt engineering, and the ethical considerations involved in deploying these models for real-world solutions.

By the end of this training, participants will be able to:

• Grasp the fundamental principles of generative AI and large language models.
• Implement and fine-tune LLMs for specific business applications.
• Apply prompt engineering techniques to achieve optimal model outputs.
• Identify ethical considerations and manage risks associated with LLM deployment.

This instructor-led, live training in Maia (online or on-site) is designed for intermediate NLP practitioners, data scientists, content creators, translators, and global businesses aiming to leverage LLMs for language translation and multilingual content production.

Upon completion of this training, participants will be able to:

• Grasp the fundamentals of cross-lingual learning and translation using LLMs.
• Deploy LLMs to translate content between multiple languages.
• Generate and manage multilingual datasets for training LLMs.
• Formulate strategies to ensure consistency and high quality in translation outcomes.

This instructor-led, live training in Maia (online or onsite) is aimed at intermediate-level content creators, marketers, and educational technologists who wish to harness the power of LLMs for generating high-quality, diverse, and engaging content across various domains.

By the end of this training, participants will be able to:

• Understand the capabilities of LLMs and their application in content generation.
• Set up and use LLMs for generating various types of content.
• Apply best practices for prompting and fine-tuning LLMs to produce desired outputs.
• Evaluate the quality of AI-generated content and refine it for specific audiences.
• Explore advanced techniques for creative and multi-modal content generation with LLMs.

This instructor-led, live training in Maia (online or onsite) is aimed at intermediate-level software developers and technical writers who wish to leverage LLMs to streamline their coding workflow and create detailed, comprehensive documentation.

By the end of this training, participants will be able to:

• Understand the role of LLMs in automating code generation and software documentation.
• Utilize LLMs to create accurate and efficient code snippets and documentation.
• Integrate LLMs into their software development lifecycle for enhanced productivity.
• Maintain high-quality documentation standards using automated tools.
• Address ethical considerations and best practices for using AI in software development.

This live training in Maia empowers healthcare practitioners and IT teams to deploy Ollama for local LLMs. Participants will learn to integrate AI into clinical workflows, tailor models for specific operational tasks, and uphold rigorous data privacy and regulatory compliance standards within secure healthcare environments.

This live training on Claude AI in Maia enables professionals to utilize the tool effectively for data analysis and business intelligence tasks. The curriculum covers exploratory data analysis, SQL generation, and dashboard design via natural language prompting, with the goal of streamlining workflows and enhancing the extraction of insights from business data.

This instructor-led, live training in Maia (online or onsite) is designed for intermediate-level data scientists and developers wishing to apply NLP techniques using Python in Google Colab.

By the end of this training, participants will be able to:

• Understand the core concepts of natural language processing.
• Preprocess and clean text data for NLP tasks.
• Perform sentiment analysis using NLTK and SpaCy libraries.
• Work with text data using Google Colab for scalable and collaborative development.

This instructor-led, live training in Maia (online or onsite) is designed for intermediate-level professionals seeking to acquire practical expertise in automating text summarization and content generation using NLG.

Upon completing this training, participants will be capable of:

• Grasping the core principles of NLG for text summarization and content generation.
• Deploying NLG models to condense extensive documents and articles.
• Utilizing pre-trained NLG models, such as GPT, for content creation.
• Applying advanced techniques to fine-tune NLG models for specialized content generation tasks.

Gain mastery over AI integration in Postgres through this live, instructor-led training in Maia. You will learn to configure extensions, implement pgvector embeddings, and connect LLMs for real-time insights. Optimise queries and build intelligent systems within a hands-on live-lab environment.

This instructor-led, live training in Maia (online or onsite) is aimed at advanced-level professionals who wish to master AI-driven NLG techniques for chatbot and virtual assistant applications.

By the end of this training, participants will be able to:

• Understand the core principles of NLG for conversational AI.
• Leverage deep learning techniques to enhance chatbot dialogue generation.
• Integrate state-of-the-art NLG models like GPT-3 into chatbot frameworks.
• Apply contextual AI for improving conversational coherence and fluidity.

This instructor-led, live training in Maia (online or onsite) is aimed at intermediate-level data scientists, AI developers, and AI enthusiasts who wish to use LLMs to perform various NLP tasks and create novel and diverse content for different purposes.

By the end of this training, participants will be able to:

• Establish a development environment with LLMs and essential tools.
• Expertly perform NLU and NLI tasks with LLMs.
• Extract, infer, and utilize knowledge graphs effectively.
• Generate and manage dialogues using LLMs for conversational applications.
• Evaluate content quality and diversity generated by LLMs and generative AI.
• Apply ethical principles, ensuring fairness and responsible use of LLMs.

This instructor-led, live training in Maia (online or onsite) is aimed at intermediate-level professionals who wish to enhance their NLP projects through the effective fine-tuning of pre-trained language models.

By the end of this training, participants will be able to:

• Understand the fundamentals of fine-tuning for NLP tasks.
• Fine-tune pre-trained models such as GPT, BERT, and T5 for specific NLP applications.
• Optimize hyperparameters for improved model performance.
• Evaluate and deploy fine-tuned models in real-world scenarios.

This instructor-led, live training in Maia (online or onsite) is designed for developers at beginner to intermediate levels who wish to utilize Large Language Models for various natural language tasks.

Upon completion of this training, participants will be able to:

• Configure a development environment integrated with a prominent LLM.
• Construct a foundational LLM and fine-tune it using a custom dataset.
• Apply LLMs to various natural language tasks such as text summarization, question answering, and text generation.
• Debug and evaluate LLMs using tools like TensorBoard, PyTorch Lightning, and Hugging Face Datasets.

This instructor-led, live training in Maia (online or onsite) is designed for beginner to intermediate data scientists and developers who wish to implement and leverage Small Language Models in various applications.

By the end of this training, participants will be able to:

• Understand the architecture and functionality of Small Language Models.
• Implement SLMs for tasks such as text generation and sentiment analysis.
• Optimize and fine-tune SLMs for specific use cases.
• Deploy SLMs in resource-constrained environments.
• Evaluate and interpret the performance of SLMs in real-world scenarios.

This course provides Artificial Intelligence technical training in Maia, covering Data Analysis, distributed machine learning, and Natural Language Processing (NLP) to help developers build large-scale intelligent systems. It explores practical applications of Spark MLlib, recommendation engines, Word2Vec semantic analysis, and RNN-LSTM architectures, enabling professionals to convert raw data into automated decision pipelines ready for production deployment, thereby enhancing core capabilities in intelligent system construction

This instructor-led live training in Maia is designed for intermediate-level developers who wish to take a project from idea to a deployed, production-ready application using Claude Code.

By the end of this training, participants will be able to:

• Configure Claude Code and guide it effectively using a CLAUDE.md file.
• Scaffold an application and integrate data sources and a CMS.
• Build tests and run quality assurance with subagents.
• Set up automated deployment to Vercel or Cloud Run.

This instructor-led, live training in Maia (online or onsite) is aimed at intermediate-level engineers and architects who wish to use Tencent Hunyuan to deploy large and MoE models with lower latency, stronger throughput, and better cost control.

By the end of this training, participants will be able to: explain Hunyuan production deployment patterns, optimize inference performance, implement batching and quantization strategies, and plan scalable serving operations.