Co-founder & Lead Instructor, Technovids Consulting
Pankaj Rana is a co-founder and lead instructor at Technovids. His published programme focus covers AI engineering, data analytics, data science, and corporate learning design. On the AI engineering track, the curriculum connects RAG, controlled agent workflows, MCP, evaluation, governance, and deployment.
Programme Focus
These topics describe the visible Technovids curricula associated with this profile. They are not a substitute for independently verifiable employment history, certifications, or client references.
AI Engineering Curriculum
Programme design covering Python application foundations, LLM APIs, RAG, agent workflows, tool calling, MCP, evaluation, and deployment.
RAG & Evaluation
Learning paths that connect retrieval architecture, grounding, test datasets, measurable quality thresholds, and failure analysis.
Controlled Agent Workflows
Instruction focused on explicit state, permission boundaries, human approval, observability, and recoverable tool use.
Responsible Production AI
Curriculum topics covering system ownership, risk documentation, LLM security, evaluation evidence, monitoring, incidents, and rollback.
Data & Analytics Learning
Technovids programme focus spanning data analytics, data science, and practical use of data in business and engineering workflows.
Corporate Learning Design
Role-based training structures that connect learning objectives, hands-on exercises, project reviews, and workplace application.
Profile & Teaching Approach
Pankaj Rana is a co-founder and lead instructor at Technovids Consulting, a Bengaluru-based training company. His role on the AI engineering programmes is to connect technical concepts to structured projects, live architecture discussion, code review, evaluation evidence, and production-readiness decisions.
The published AI engineering curriculum covers retrieval-augmented generation, LangGraph workflows, tool calling, Model Context Protocol, evaluation, LLM security, human approval controls, observability, incident response, and rollback. The emphasis is on explaining design trade-offs and producing reviewable engineering artefacts rather than relying only on tutorial completion.
Public profile links are provided above so prospective learners and corporate buyers can review the identity associated with the programmes. Specific credentials, employment history, client work, and quantified outcomes should be evaluated from primary evidence supplied during the buying process.
Technovids Guides & Resources
Selected resources connected to the programme topics listed on this profile.
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