Associate AI Engineer for Developers

Become an AI Developer with Practical Skills

Start your journey to becoming an AI Engineer by learning how to integrate AI into software applications. In this Track, you'll gain hands-on experience using APIs and open-source libraries to create AI-powered systems that deliver enhanced functionality and user experiences.

Master the Tools of the Trade

Explore the essential tools and technologies used by AI Engineers, including:

• The OpenAI API for leveraging powerful language models like GPT
• Hugging Face's extensive repository of pre-trained models and datasets
• LangChain for building applications with language models, prompts, chains, and agents
• Pinecone vector database for efficient similarity search and recommendation systems

Through practical exercises and real-world projects, you'll learn to utilize these tools to build chatbots, recommendation engines, semantic search, and more.

Unlock the Power of Language Models

Discover the potential of Large Language Models (LLMs) and how they're revolutionizing AI application development. Learn prompt engineering techniques to optimize model outputs for your specific use cases. Explore how embeddings can be used to create more advanced AI applications like semantic search and recommendation engines.

Build Production-Ready AI Systems

Gain insights into LLMOps, the practices for developing, deploying, and maintaining AI systems in production. Learn best practices for integrating third-party APIs reliably, handling rate limits and exceptions, and structuring model outputs for robustness. Apply software engineering principles to write modular, well-documented, and testable code, and integrate your applications into external systems using the universal connector: the model context protocol (MCP).

Launch Your Career as an AI Engineer

By the end of this Track, you'll have the skills and portfolio to:

• Develop AI-powered applications using industry-standard tools and best practices
• Integrate AI functionality into backend systems and user-facing applications
• Collaborate with data scientists and software engineers to bring AI projects to life
• Stay at the forefront of the rapidly evolving AI landscape