Traineeship

AI Engineer /Machine Learning/Prompt Engineer

KEY SKILLS: LangChain for building LLM applications with RAG pipelines and agent workflows, LLMs (Gemini), prompt engineering, Python and ML libraries such as TensorFlow or PyTorch, MLOps tools and practices (Vertex AI).

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What You’ll Learn:

You’ll learn to work at the heart of AI initiatives, partnering with engineers, product managers, and data stakeholders to design and implement AI-powered services that enhance user experience and operational efficiency

At the end of this course, you will know how to;

Design, build, and maintain AI systems and tools using machine learning and large language models (LLMs), with a strong focus on prompt engineering and model fine-tuning
Collaborate with cross-functional teams to identify opportunities for AI and automation across the product suite
Develop scalable pipelines for data ingestion, model training, evaluation, and deployment