OVERVIEW

Key Program Details

<aside> 📅 3-4 months to complete

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<aside> ⏰ 8-12 hours per week

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<aside> 📖 4 sprints

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<aside> 📚 4 hands-on projects

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<aside> ➡️ Requirements: • At least 1 year of coding experience with Python or JavaScript • Understanding of RESTful APIs, back-end development (Flask, FastAPI, Node.js), and database concepts • Advanced English skills of at least B2 level (reading, writing, and comprehension)

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<aside> 🛠 Tools learned:

• Python (or JavaScript)
• LangChain
• LangGraph
• Retrieval-augmented generation (RAG)
• OpenAI GPT models
• Google Gemini
• Meta Llama
• Anthropic Claude
• Prompt engineering
• Vector databases (e.g., ChromaDB)
• Gradio
• AI agents </aside>

Note: We regularly update our programs to keep pace with industry demands, so some parts of the curriculum may change during your learning journey..

The Skills You’ll Learn

• Build real-world LLM applications using tools like Python, LangChain, and Gradio
• Master prompt engineering and API integration with OpenAI, Anthropic, and more
• Use RAG and vector databases to connect models with external data
• Design and deploy intelligent AI agents that automate tasks and retain context

Our Learning Methodology

• Go through a curated online curriculum to gain a deep understanding of industry best practices
• Constantly apply your newly gained skills through practical projects and get feedback in expert review
• Showcase your expertise through a capstone project

Guidance and Support

• Receive unlimited guidance from industry experts and peers
• Participate in regular standups and open sessions to share experiences and get support whenever you’re stuck