Generative
AI.
LLMs, prompt engineering, RAG pipelines, MCP servers, and AI agents. Built by someone who ships GenAI tools at Oracle. OCI GenAI Pro aligned — with the MCP layer most roadmaps skip entirely.
MCP Servers &
AI Agents.
Model Context Protocol (MCP) is how modern AI agents connect to the real world — databases, APIs, code, file systems. Introduced by Anthropic in 2024, it's already showing up in GenAI job postings. This track covers it.
- →What MCP is and why it matters for agentic AI
- →Building MCP servers in Python or TypeScript
- →Connecting LLMs to tools: databases, APIs, file systems
- →Claude / GPT-4 tool use and function calling
- →Multi-step AI agents that reason and act
- →Deploying agents to production
The path to hireable.
OCI AI Foundations Associate
Start here. Covers ML concepts, neural networks, OCI AI services. Free prep materials from Oracle.
OCI Generative AI Professional
Core cert. LLMs, embeddings, RAG, prompt engineering, OCI GenAI Service. Built by someone who holds this.
Prompt Engineering for Developers
Andrew Ng + OpenAI. Practical prompt patterns, chain-of-thought, system instructions. Essential for any GenAI role.
MCP Servers & AI Agents
Model Context Protocol — how modern AI agents connect to tools, APIs, and data sources. Increasingly required in GenAI engineering roles.
AWS Certified AI Practitioner
✦ HIREABLE HEREHireable checkpoint. Multi-cloud AI fluency is a differentiator. OCI + AWS together makes you significantly more hireable.
2 GenAI Projects
Build a RAG pipeline + an AI agent using MCP. Deploy both. Public repo. This is what gets you the interview.
Ranges aggregated from Indeed, LinkedIn, Glassdoor, Payscale, ZipRecruiter. GenAI roles are among the fastest-growing and highest-compensated in tech.
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