Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
Course Outline
- Data Analytics and Machine Learning
- Model Training and Tuning
- Introduction to Large Language Models (LLMs)
- Introduction to LangChain
- Building LangChain Applications
- Building Multi-Model AI Applications
- Building LLM-Based AI Applications
- Using No/Low Code Platforms
- Building Local/Offline AI Bots
- Building Retrieval-Augmented Generation (RAG) Applications
- Introduction to Agentic AI
- Building AI Agents
- Automating Tasks Using CrawAI
- Building Local AI Knowledge Bases
Participants will gain hands-on experience with industry-leading AI, LLM, and automation tools, including:
- LangChain – A framework for developing AI-powered applications.
- CrawAI – An AI platform for task execution and automation.
- Python (with NumPy, Pandas, Scikit-learn) – Tools for data processing and analytics.
- Hugging Face Transformers – Pre-trained LLM models for various applications.
- ChromaDB & FAISS – Vector databases for efficient knowledge base management.
- LLMs (Llama, GPT, Falcon, Mistral, or open-source models) – Tools for model experimentation and deployment.
- No-code/Low-code AI platforms – For rapid development of AI applications with minimal coding.
- Local/Offline AI setups (like PrivateGPT, Ollama, LM Studio) – Solutions for building AI applications that operate without internet connectivity.
This course offers numerous benefits, making it an essential skill-building opportunity for professionals and organizations in the public sector:
- Build Private and Local AI Solutions – Develop AI applications that can run independently of cloud services.
- Hands-on LangChain and CrawAI Experience – Gain expertise in developing LLM applications and automating workflows.
- Learn to Automate Workflows – Utilize AI agents to manage repetitive tasks and enhance operational efficiency.
- Develop Secure, On-Premises AI Applications – Create self-hosted solutions for industries with stringent privacy and security requirements.
- Accelerate AI Development with No-Code/Low-Code – Learn to quickly prototype AI solutions without extensive coding knowledge.
- Improve AI Model Performance – Train and fine-tune custom AI models for specific tasks and use cases.
- Master RAG (Retrieval-Augmented Generation) – Build context-aware AI systems that enhance knowledge retrieval and decision-making processes.
- Enhance Career Opportunities – Acquire in-demand AI and automation skills, providing a competitive advantage for government roles.
This course is essential for professionals aiming to master AI-driven automation, private AI applications, and cutting-edge LLM-powered workflows for government operations.
Requirements
To fully benefit from this course, participants should have:
- Basic Python programming skills.
- A fundamental understanding of machine learning and artificial intelligence concepts.
- Some experience with data processing, APIs, or cloud platforms (recommended but not required).
- Familiarity with SQL or NoSQL databases (optional but useful for building knowledge bases).
- Accounts for: Hugging Face, Github/Gitlab
For fully local or offline AI applications, participants will also need:
- A local machine equipped with sufficient GPU or CPU power to run AI models.
- Offline model storage solutions (such as HF Hub, Ollama, LM Studio) for utilizing language models locally.
This course is designed for developers, data scientists, AI engineers, and professionals who are interested in building local AI and LLM-powered applications. It is particularly useful for:
- Software Engineers & AI Developers: To build AI-powered applications using LangChain and CrawAI.
- Data Scientists & ML Engineers: To fine-tune models and develop intelligent knowledge-based AI systems.
- Enterprise AI Professionals: To create secure, private, on-premises AI solutions for government.
- Automation Experts: To automate tasks with the help of AI-powered agents.
- Business Intelligence Professionals: To integrate AI and knowledge bases for advanced analytics.
- Tech Enthusiasts & AI Innovators: To explore innovative ways to leverage local AI for automation and efficiency.
28 Hours
