Knowing how LLMs work in theory is very different from being able to deploy a Retrieval-Augmented Generation (RAG) chatbot that actually runs in production. The OCI Generative AI Professional (2025) program at Technovalley is built entirely around that gap — deployment, not just theory.
What the Curriculum Covers
Across 200 hours, learners work hands-on with the full modern Generative AI stack as it's implemented on Oracle Cloud Infrastructure:
LLM architectures, prompt engineering, and fine-tuning
Embeddings, semantic search, and vector databases
Retrieval-Augmented Generation (RAG) workflows
LangChain integration and AI agents
Oracle Database 23ai and OCI Generative AI Services deployment
This mirrors exactly what production AI teams are hiring for right now. The Stanford AI Index Report has repeatedly noted that enterprise AI adoption is shifting from experimentation to deployment — and deployment-literate engineers who understand RAG pipelines and vector search are the ones capturing that demand, not engineers who only know how to call an API.
Who This Program Is Built For
Software developers, AI engineers, and machine learning professionals who already have some technical grounding and want to specialise in building enterprise-ready Generative AI applications — specifically within the Oracle ecosystem. If you've completed the OCI AI Foundations Associate (2025) program and are ready to move from concepts to deployment, this is the direct next step.
For learners who want a broader, framework-agnostic Generative AI skill set (not Oracle-specific), the Technovalley Certified Generative AI Expert (GAIE) program covers similar ground using open-source models like LLaMA and Mistral alongside proprietary APIs.
Career Outcomes
Graduates step into roles including Generative AI Engineer, OCI AI Engineer, LLM Application Developer, Conversational AI Engineer, and RAG Developer — some of the highest-demand titles in the current job market. LinkedIn's Jobs on the Rise reports have consistently placed AI and LLM-adjacent engineering roles among the fastest-growing job categories globally over the past two years.
Why Learn This With Technovalley?
As a direct Oracle training partner, Technovalley delivers this program aligned with Oracle's own certification blueprint, backed by hands-on labs, capstone projects, and 1-on-1 mentorship from industry practitioners — not just theoretical slides on what RAG is.
FAQs
Do I need prior AI experience for this program? Some programming familiarity is recommended, though the curriculum builds LLM and RAG concepts from the ground up.
What tools will I use hands-on? LangChain, vector databases, Oracle Database 23ai, and OCI Generative AI Services, among others.
Is this only useful if my company uses Oracle Cloud? No — the underlying RAG, LangChain, and LLM deployment skills transfer directly to AWS, Azure, and GCP environments too; Oracle is simply the deployment platform used for hands-on labs.
Move from AI theory to production deployment. Explore the OCI Generative AI Professional program or view Technovalley's complete AI training catalogue. Enquire now.
