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Generative AI Training in Ranchi
Codezeal Technologies • Ranchi
Generative AI Training in Ranchi
Codezeal offers practical Generative AI training in Ranchi designed for beginners and developers. Learn how to work with modern AI tools, prompt engineering, and build smart AI applications through hands-on practice.
Our training covers the fundamentals of Large Language Models (LLMs), AI image and content generation, building chatbots, and connecting AI models to real-world applications.
Program Core Pillars
Prompt Engineering
Master prompt techniques to get accurate, high-quality results from tools like ChatGPT, Claude, and Google Gemini.
AI Content & Media
Generate professional text, code, marketing copy, and AI images using Midjourney, Canva AI, and DALL-E.
AI Chatbots & APIs
Connect OpenAI and Gemini APIs to build custom chatbots, assistants, and document search tools.
Practical Projects
Work on real-world projects, automate daily tasks, and create AI-powered tools ready for your portfolio.
Scope of Generative AI
Generative AI is rapidly being adopted across software, marketing, design, and business operations. Knowing how to effectively use AI tools and integrate AI APIs helps students, working professionals, and freelancers work faster and qualify for modern tech roles.
Key Benefits of the Training
- Learn In-Demand Skills: Understand how modern AI works and how to apply it in everyday projects.
- Build Smart Apps: Create your own custom chatbots, summarizers, and automated workflows.
- Freelance & Productivity: Use AI to deliver client work faster and offer AI automation services.
- Hands-On Practice: Learn by doing through live assignments and real project demonstrations.
Book a Free Consultation
Talk to our trainers, explore the curriculum, and see how learning Generative AI can boost your career.
GENERATIVE AI SYLLABUS
GENERATIVE AI SYLLABUS
Module 1
Programming and AI Foundations
Programming and AI Foundations
▸ Python fundamentals, OOP, functions, modules and virtual environments
▸ NumPy, pandas and basic data visualization
▸ Linear algebra basics, probability and statistics
▸ Machine learning fundamentals: training, testing, overfitting and evaluation
Module 2
Deep Learning and NLP
Deep Learning and NLP
▸ Neural networks, backpropagation and gradient descent
▸ TensorFlow or PyTorch fundamentals
▸ Natural Language Processing (NLP)
▸ Tokenization, embeddings and vector representations
▸ Attention mechanisms and transformer architecture
Module 3
Generative AI and LLMs
Generative AI and LLMs
▸ Generative AI concepts and types of generative models
▸ Large Language Models (LLMs)
▸ GPT-style models, open-weight models and Hugging Face
▸ Prompt engineering and structured outputs
▸ Model inference, sampling, temperature and token limits
▸ Using model APIs and running models locally
Module 4
RAG and Vector Databases
RAG and Vector Databases
▸ Embedding models and semantic search
▸ Vector databases: FAISS, Chroma or pgvector
▸ Document loading, chunking and retrieval
▸ Retrieval-Augmented Generation (RAG)
▸ LangChain or LlamaIndex fundamentals
▸ Reranking, citations and retrieval evaluation
Module 5
Advanced Generative AI
Advanced Generative AI
▸ AI agents, tool calling and workflow orchestration
▸ Function calling and structured data extraction
▸ Conversation history, memory and state management
▸ Fine-tuning, LoRA and PEFT fundamentals
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INDUSTRIES WE SERVE
INDUSTRY SPECIFIC TRAINING
Our primary approach is to provide industry-specific training to our learners who have a zeal for working in corporate environments that adhere to respective industries. We offer training which can be acceptable for different industries.
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