Generative AI & LLM Solutions Specialist
Harness the full power of Large Language Models to solve real business challenges. Master prompt engineering, model fine-tuning, embedding generation, multimodal AI (vision & audio), and building commercial generative AI applications.
🎯 Core Competencies You Will Master
Target Job Roles & Titles
Course Outline & Milestones
📁 Phase 1: LLM Architecture & Prompt Engineering
2 CoursesGenerative AI Foundations & How Transformers Think
Tokenization, context windows, temperature, top-p sampling, and hallucination reduction.
Mastering Prompt Engineering: Few-Shot, CoT & ReAct
System personas, structured constraints, step-by-step reasoning, and output validation.
📁 Phase 2: Building with APIs & Custom Embeddings
2 CoursesBuilding Production Apps with OpenAI & Anthropic SDKs
Rate limiting, cost optimization, streaming responses, and function calling workflows.
Vector Embeddings, Semantic Search & Retrieval Systems
Embedding models, cosine distance, vector search indexing, and document retrieval.
📁 Phase 3: Fine-Tuning, Multimodality & Capstone
3 CoursesFine-Tuning Open-Source LLMs (Llama 3 with LoRA/QLoRA)
Dataset preparation, parameter-efficient fine-tuning, evaluation benchmarks, and quantization.
Multimodal AI: Vision, Audio & Whisper Integration
Image analysis with GPT-4o, automated transcription with Whisper, and text-to-speech synthesis.
Graduation Capstone: Enterprise Knowledge Copilot System
Deploy a full generative AI application with verified citations and custom domain data.
Real-World Capstone Project
Enterprise Knowledge Copilot: Build and deploy a secure company-wide AI copilot with domain-specific knowledge embeddings, access permissions, and citation verification.
Official PBIAcademy Career Diploma
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