Artificial IntelligenceDuration: 2 Months
Generative AI & LLM Engineering
4.98
Build cutting-edge GenAI applications using Python, LLMs, advanced prompt engineering, RAG architecture, vector databases, and multi-agent workflows.
Career Outcomes & Job Roles:
🎯 Generative AI Intern🎯 AI Application Developer Intern🎯 Junior GenAI Developer🎯 AI Automation Developer
Skill LevelIntermediate to Advanced
Program Duration2 Months (5 Modules)
Official Contactinfo@visionspark.co.in
PRACTICAL-FIRST METHODOLOGY
Standard 90-Minute Daily Class Format
Learn → Code → Practice → Challenge → Build → Review → Improve
15 MINPhase 1
Concept / Shortcut
Concept, syntax, theory, formulas, shortcuts & approach.
45 MINPhase 2
Live Problem Solving
Instructor demonstrates while students follow along & write code.
15 MINPhase 3
Timed Challenge
Independently solve a short coding problem or assessment.
15 MINPhase 4
Q&A / Discussion
Discuss mistakes, answer questions & clarify concepts.
Comprehensive Syllabus
Course Structure & Curriculum
Explore each module in the complete training syllabus. Click or scroll on the roadmap to preview detailed topics, practical chapters, and key skills.
Module 01Part 1 of 5
Core SyllabusModule 1: Generative AI & Python Fundamentals (Days 1–12)
Topics4 Chapters
StageFoundational
DeliveryPractical & Live
Detailed Module Topics & Sub-Topics (Click to expand):▼ View Sub-Topics▼ View Sub-Topics▼ View Sub-Topics▼ View Sub-Topics
1
AI vs ML vs Deep Learning vs Generative AI, LLM fundamentals, Tokens, Context windows2
Training vs Inference, Python installation & setup, Python fundamentals3
JSON, Exception handling, APIs, API requests & responses4
Projects: Text Processing Tool, Text Summarizer, Question Answering ApplicationModule 1 of 5
Interactive Learning JourneyScroll or click (1-5)
Selected: Module 11 of 5 Modules