Most "Generative AI courses" teach you to call an API and call it a day. The Technovalley Certified Generative AI Expert (GAIE) program takes the opposite approach: 200 hours of internship-style learning that starts at Python fundamentals and ends with you deploying real LLM-powered applications.
What You'll Build and Learn
The curriculum is structured to take learners through the complete stack needed to ship a Generative AI product:
Python programming, Flask, and FastAPI for AI development
Deep Learning and Natural Language Processing foundations
Hands-on work with GPT-4, Mistral 7B, LLaMA, and Hugging Face open-source models
LangChain, Google Gemini integration, and prompt engineering
Vector databases and full AI application deployment
This mirrors the shift the AI industry itself has made. As Andrew Ng's DeepLearning.AI short courses on LangChain and RAG systems have popularised, the real skill gap today isn't "can you use an LLM" — it's "can you build a reliable, deployed application around one." GAIE is designed to close that exact gap through project-based, deployment-focused sessions rather than passive lecture content.
Who Should Take GAIE?
This program suits learners who already have some programming exposure (or are ready to build it fast) and want to specialise specifically in Generative AI engineering — as opposed to broader data science. If you're starting from zero technical background, the Artificial Intelligence Essentials (AI|E) program is a gentler entry point first.
For learners who prefer Oracle Cloud-native deployment instead of open-source and multi-vendor tooling, the OCI Generative AI Professional (2025) program covers similar territory within the Oracle ecosystem specifically.
Career Outcomes
GAIE graduates are prepared for an unusually wide range of roles: Generative AI Engineer, LLM Application Developer, NLP Engineer, Prompt Engineer, Conversational AI Engineer, RAG Developer, LangChain Developer, and Open Source LLM Engineer, among others. This breadth reflects how fast the Generative AI job market is fragmenting into specialisations — a trend confirmed by NASSCOM's technology skilling reports, which highlight Generative AI engineering as one of India's fastest-growing IT skill categories.
Why Learn GAIE With Technovalley?
Technovalley's internship-style methodology means learners are treated as working AI engineers from day one — solving real project briefs, not just following along with slides. Combined with 1-on-1 mentorship and placement assistance, GAIE is built to produce genuinely job-ready Generative AI engineers, not certificate collectors.
FAQs
Do I need Python experience before starting GAIE? Basic familiarity helps, but the program builds Python for AI development from the ground up as part of the curriculum.
Does GAIE cover open-source models or only proprietary APIs like GPT-4? Both — you'll work with GPT-4 and Gemini alongside open-source models like LLaMA, Mistral 7B, and Hugging Face models.
What's the difference between GAIE and the OCI Generative AI Professional program? GAIE is framework-agnostic and covers a broader open-source + proprietary toolkit; OCI Generative AI Professional focuses specifically on Oracle Cloud-native deployment.
Build and deploy real Generative AI applications. View the GAIE program details or explore Technovalley's full AI certification catalogue. Enquire now.