Hands-on AI training

Training Program in AI, Machine Learning, Deep Learning, NLP, and LLM Applications for IT Enterprises and AI Startups

The leadership of BSP.VN is committed to delivering practical, high-impact training programs in AI, Machine Learning, Deep Learning, NLP, and Large Language Model (LLM) applications specifically designed for IT companies and AI-focused startups.

During the one-month training, your team members will work on carefully prepared real AI projects under the close guidance of Master of Information Technology specialists and receive comprehensive mentorship from AI experts. This is a focused opportunity for small teams (1–4 people) to move beyond theory, master end-to-end AI workflows, and gain the ability to independently build production-ready AI solutions for your business, including predictive models, NLP systems, and custom LLM chatbots.

BSP team collaborating on an AI project
1 monthProgram duration
1–4Participants
Real projectsHands-on learning

1. Key Advantages

BSP mentor guiding a participant through a project
  • Your team will work directly on real AI projects relevant to enterprise and startup environments, including data preparation, model training, evaluation, and deployment.
  • Receive guidance from Master of Information Technology specialists with hands-on experience in building and deploying models for real business use cases.
  • Gain hands-on access to modern AI tools and frameworks, including PyTorch, TensorFlow, and Hugging Face, plus curated datasets and computing resources for model training and fine-tuning.
  • Follow an up-to-date curriculum covering the latest advancements in generative AI, transformers, and practical LLM applications.
  • After training, your team can independently train, fine-tune, and build custom LLM chatbots, prepare high-quality AI datasets, apply NLP techniques, and deploy AI solutions, reducing reliance on external vendors.

2. Our Teaching Model: “Learning by Doing”

AI workflow from input data through model training and evaluation to deployment

Swipe to view all four stages

We focus on practical skill-building so your team can immediately apply what they learn:

  • Perform effectively in current and future AI projects at your company.
  • Acquire real skills in a professional AI development environment, including data pipelines, model training, evaluation, and deployment.
  • Gain hands-on experience with the full AI development lifecycle, from data collection and preprocessing to training models and building intelligent applications, including chatbots.

3. Target Participants

This program is ideal for small teams and key personnel from IT companies and AI startups:

  • Developers, data scientists, and AI engineers who want to strengthen their skills in ML, DL, NLP, and LLMs.
  • Technical team leaders and managers who want to independently initiate, manage, and deliver AI projects in-house.
  • Startups and IT companies looking to build internal AI capabilities and accelerate product innovation.
  • Teams or individuals who need to develop AI applications, such as predictive analytics, text processing, and intelligent chatbots, to support and automate business operations.
  • Organizations that want to upskill their workforce in practical machine learning and generative AI to stay competitive.

4. Time, Group Size & Location

BSP work and training space
  • Duration: 1 month, with an intensive, hands-on schedule suitable for working professionals.
  • Group size: Small batches of 1–4 participants to ensure personalized guidance and maximum learning efficiency.
  • Location: BSP Software Services Corp. Customized on-site training at your company premises is also available upon request.

What Your Team Will Be Able to Do After the Course

By the end of the program, participants will confidently:

Prediction model visualization from a BSP AI project
Predictive modeling
Model accuracy chart from a BSP AI project
Model evaluation
BSP AI chatbot interface
Conversational AI

Examples from BSP’s AI work

  • Data for AI/ML

    Prepare, clean, and preprocess data for AI/ML projects, including data collection, labeling, augmentation, and quality control.

  • Train and evaluate models

    Train, evaluate, and optimize machine learning models for classification, prediction, and regression tasks using essential algorithms.

  • Natural language processing

    Apply Natural Language Processing (NLP) techniques for text analysis, information extraction, and understanding.

  • Fine-tune LLMs

    Fine-tune and train Large Language Models (LLMs) for domain-specific use cases.

  • Custom LLM chatbots

    Independently train, fine-tune, and build custom LLM chatbots and conversational AI systems.

  • Professional practice

    Apply key machine learning algorithms and best practices required for professional AI development work in real business environments.

This one-month, small-group program is designed to quickly transform your team’s capabilities so they can deliver tangible AI value to your company right after training.

Registration and More Information

Contact BSP to discuss the right training format for your team:

Zalo / WhatsApp
+84 93 872 8579
Microsoft Teams
Tan.Nguyen.79