LLMs & AI Agents Essentials
Learn prompt engineering, RAG, and agent orchestration to ship practical AI features
Why LLMs & AI Agents?
Boost Efficiency
Automate routine work — from research to reporting — and focus on high-value, creative, or analytical tasks.
Use AI tools to analyze data, summarize insights, and support evidence-based professional choices.
Brainstorm, design, and write faster — AI enhances ideas, helping you reach high-quality results sooner.
Companies are increasingly seeking AI-capable professionals — AI-skills are required for 70% of vacancies.
As work-skills change rapidly, nearly 39% of key job-skills are expected to shift by 2030, making AI literacy a vital hedge against future disruption.
Curriculum & Program Structure
Duration
2 months intensive program
Schedule
Flexible scheduling, instructor-led
Total Hours
32 hours (Common 16h + Track 16h)
Lessons 1-2: Intro to AI & Prompt Engineering
- Understanding LLMs and their capabilities
- Common industry use cases
- Prompt types: zero-shot, few-shot, chain-of-thought
- Prompt structure: role, context, format
- Crafting effective prompts for different tasks
Tools: ChatGPT, Claude, other LLM interfaces
Lessons 3-4: Agent Thinking & Real-World Applications
- ReAct pattern: reasoning plus tool use
- Task decomposition and agent memory
- Industry examples across education, IT, finance, legal
- Integrations with Slack, Google Docs, Notion
- Analyzing success and failure in AI use
Tools: Workflow design, integration platforms
Lessons 5-6: No-Code Tools & Ethics
- Building automations with Zapier + OpenAI, Flowise
- ChatGPT plugins and no-code workflows
- AI bias, hallucination, and data privacy
- Human-in-the-loop approaches
- Safe prompting and sharing guidelines
Tools: Zapier, Flowise, ChatGPT plugins
Lesson 7: Capstone Project
- Planning and tool selection
- Workflow design and integration
- Build and demo an LLM or agent mini-project
- Apply prompting, integration, testing, and ethics
Tools: Project-specific based on track
Lessons 1-2: LLM APIs & Prompt Engineering in Code
- Transformers, tokens, and context length
- OpenAI and Hugging Face APIs
- Parsing and validating JSON output
- Prompt templates and API chaining
- Function calling and structured control
Tools: Python, OpenAI API, Hugging Face
Lesson 3: Build RAG-Powered LLM Tools
- LangChain agents and orchestration
- RAG pipeline architecture (retriever + generator)
- Chunking strategies, embeddings, vector DBs
- Similarity vs. hybrid search
- Debugging RAG: context injection and hallucination
Tools: LangChain, FAISS, Chroma, embeddings
Lessons 4-5: Testing, QA & Deployment
- Test generation and bug triage
- Documentation drafting with LLMs
- Rate limits, latency, and cost control
- Monitoring, logging, and content moderation
- Production deployment strategies
Tools: Testing frameworks, monitoring tools
Lesson 6: Final Project - AI-Powered Personal Assistant
- End-to-end system design
- APIs, RAG, function calling, orchestration
- Error handling, rate limiting, monitoring
- Testing strategies for AI applications
- Deploy and iterate on working assistant
Tools: Full stack, deployment platforms
Lessons 1-2: Writing, Communication & Domain Applications
- Drafting and refining professional communications
- Prompting for tone, clarity, and formatting
- Adapting AI tools to profession-specific workflows
- Lesson plans, contracts, tax summaries
- Creating reusable templates and guides
Tools: ChatGPT, Claude, document tools
Lessons 3-4: Data Analysis & Automation
- AI assistance with Excel and Google Sheets
- Explaining formulas and extracting insights
- Process automation with no-code tools
- Notion AI, Zapier, Google Apps integrations
- Building automations from form inputs
Tools: Spreadsheet tools, Notion, Zapier
Lessons 5-6: Decision Support & Multi-Modal AI
- Using AI as a structured reasoning partner
- Generating pros/cons, SWOT analyses
- Image generation: DALL-E, Midjourney basics
- Video generation: Runway, Pika
- Prompting for visual content
Tools: DALL-E, Midjourney, Runway, Pika
Lesson 7: Personalized Knowledge Assistants
- RAG for non-coders: simple explanation
- ChatGPT custom GPTs with uploaded files
- Notion AI and Google Drive integrations
- Building private search assistants
- Organizing information for better AI results
Tools: ChatGPT custom GPTs, Notion AI
How the Training Works
A flexible, hands-on learning experience with branched tracks tailored to your professional background.
Branched Learning Paths
Start with common foundations (16h), then choose IT Track for developers or Default Track for general professionals. Both paths build on the same core concepts.
Instructor-Led, Hands-On
Learn through guided practice, real-world examples, and live demonstrations. Not just theory — you'll build working AI tools during the course.
Practical Projects
Complete capstone projects that you can use immediately: no-code automations, RAG-powered assistants, or domain-specific AI workflows.
Flexible Scheduling
Designed for working professionals with flexible scheduling options. Learn at your pace while maintaining your current responsibilities.
This course maximizes your daily efficiency by teaching you to leverage AI tools effectively — whether you code or not.
Pricing and Enrollment
HRDA-Funded Option
For eligible companies and employees under Cyprus HRDA funding.
Not Funded (Full Prepayment)
Single upfront payment for the full 2-month program.
Full Price (2 Installments)
Pay in 2 monthly installments — €400 × 2.
What's Included
- 32 hours of instructor-led training
- Common Track + chosen specialization (IT or Default)
- Hands-on projects and capstone work
- Access to AI tools and platforms
- Course materials and resources
- Certificate of completion
- Lifetime access to course materials
Frequently Asked Questions
Do I need programming experience for this course?
No! The course offers two tracks: the Default Track is designed for non-coders and uses no-code tools. The IT Track is for developers and requires basic programming knowledge. Everyone starts with the same Common Track foundations.
What's the difference between IT Track and Default Track?
IT Track focuses on building AI tools with code (APIs, LangChain, RAG systems). Default Track teaches no-code solutions (Zapier, ChatGPT plugins, Notion AI) for general professionals like teachers, lawyers, and accountants.
How long is the course?
The course is 32 hours total: 16 hours of Common Track (everyone takes this) plus 16 hours of your chosen specialization track (IT or Default). Format is flexible and instructor-led.
What AI tools will I learn?
You'll work with ChatGPT, Claude, OpenAI APIs, LangChain (IT Track), Zapier, Flowise, Notion AI, and various other AI platforms. The exact tools depend on your chosen track.
Can I switch tracks after starting?
The Common Track is the same for everyone, so you can decide on your specialization track after completing the foundations. However, we recommend choosing early to get the most relevant experience.
What will I build during the course?
You'll complete a capstone project: IT Track builds a production-ready AI assistant with RAG, while Default Track creates practical no-code automations or knowledge assistants you can use in your work.
Is this course suitable for complete beginners?
Yes! The Common Track assumes no prior AI knowledge. The Default Track requires no coding. Only the IT Track requires basic programming experience (Python recommended).
How does HRDA funding work?
HRDA funding can cover up to 80% of course fees for eligible participants. You apply through the HRDA portal with required documentation. We'll help guide you through the application process.
Will I get a certificate?
Yes, you'll receive a certificate of completion from CodeLab Training Center demonstrating your LLM and AI agent skills, which is valuable for career advancement.
What support is available during the course?
You'll have access to instructors during sessions, office hours for additional help, course materials, and a community for peer support. We also provide guidance on applying your new skills.
Still Have Questions?
Our team is here to help. Contact us for personalized assistance with enrollment, HRDA funding, track selection, or any other questions about the course.