Inspizone is an exclusive professional Training Provider specialising in Training and Human Capital Development, covering both management and technical skills.
Master generative AI from the fundamentals to production-level deployment with live instructor-led training.
The Complete Generative AI Course is a 6-month programme that starts with AI fundamentals and Python, followed by machine learning, deep learning, LLMs and generative AI. The course then moves into prompt engineering, APIs, RAG, vector databases and AI agents, followed by MCP, workflow automation, fine-tuning, multimodal AI, LLMOps, deployment and AI security. Live classes, assignments and practical projects are included throughout the course, with a final capstone project to apply the concepts covered.
We are variations of passages the have suffered.
1. AI Fundamentals, ML, Deep Learning, GenAI, AI Evolution, AI Applications, Ethics
Python Basics, NumPy, Pandas, Jupyter Notebook, VS Code, Virtual Environment, Build a basic data analysis project
Supervised, Unsupervised Learning, Model Evaluation, Scikit-learn Basics, Create a simple ML model
Neural Networks, Activation Functions, CNN, RNN, PyTorch/TensorFlow Basics
Transformers, Attention Mechanism, Tokenisation, Embeddings, GPT, Llama, Gemini, Claude
GANs, VAEs, Diffusion Models, LLMs, Hallucinations, Responsible AI
Tokens, Context Window, Embeddings, RAG, Fine-tuning, Vector DB, Inference, Quantization
ChatGPT, Claude, Gemini, Copilot, DeepSeek, Grok, Perplexity, NotebookLM, Hugging Face
Prompt Structure, Role Prompting, Zero-shot, One-shot, Few-shot, CoT, Design professional prompts.
Tree of Thought, Graph of Thought, Prompt Chaining, Self-Reflection, Prompt Optimization, Build a Prompt Library (100+ prompts)
JSON Output, Tool Calling, Function Calling, Prompt Guardrails
OpenAI API, Gemini API, Claude API, API Keys, Authentication, Cost Optimization, AI chatbot using LLM APIs
Transformers, Datasets, Pipelines, Spaces, Model Hub, Tokenizers
FAISS, Pinecone, Qdrant, ChromaDB, Weaviate, pgvector
RAG Architecture, Chunking, Hybrid Search, Re-ranking, Metadata Filtering, Document ingestion, chunking; Embeddings + vector DB; RAG-based; Simple UI (Streamlit/Gradio/CLI).
Graph RAG, Multi-document RAG, Multi-tenant RAG, Query Expansion, Evaluation
Chains, Memory, Agents, Prompt Templates, Retrieval Chains, Build a LangChain chatbot.
Stateful Workflows, Graph RAG, Query Engines, Multi-Agent Graphs
Planning, Memory, Reflection, Tool Use, Multi-Agent Systems, AI Business Agent
MCP Architecture, Clients, Servers, Resources, Tool Integration
n8n, Make, Zapier, Power Automate, AI Workflow Design, Workflow Automation
LoRA, QLoRA, PEFT, RLHF, DPO, Instruction Tuning
Vision LLMs, OCR, Text-to-Image, Video, Audio, Document AI
GitHub Copilot, Cursor AI, Claude Code, Windsurf
Ollama, LM Studio, GGUF Models, Local LLM Deployment
FastAPI, Docker, AWS Bedrock, Azure AI, Vertex AI, CI/CD, Deploy a production AI application
LangSmith, LangFuse, MLflow, Monitoring, Tracing, Token Analytics
Prompt Injection, OWASP for LLMs, PII Protection, AI Governance, Compliance
AI in Healthcare, Finance, HR, Legal, Marketing, Software Development
Portfolio Building, GitHub, Resume, Interview Prep, Freelancing, AI Consulting, Production-grade enterprise AI project
Find clear answers to common questions about the Generative AI course, including coding requirements, practical learning, prompt engineering, AI tools, career applications, assignments, assessments, and the skills you can develop after completing the program.
Join 1,250+ learners and start your journey towards becoming an AI expert.