Claude AI Training in Hyderabad

1. Introduction to Claude AI and Anthropic.
2. Claude use cases for students, developers and businesses.
3. Claude vs general AI assistants.
4. Responsible AI basics and safe usage.
5. Career paths for Claude AI learners in 2026.

1. Clear instruction writing.
2. Role prompts, task prompts and examples.
3. Prompt structure for summaries, emails, reports and analysis.
4. Prompt templates for reusable workflows.
5. Testing and improving Claude outputs.

1. Claude model family overview.
2. Model selection for speed, reasoning and cost.
3. Long-context strengths.
4. Claude for writing, coding, research and document work.

1. Preparing files and source material.
2. Summarizing long reports and PDFs.
3. Comparing multiple documents.
4. Creating structured outputs, tables and briefs.
5. Reducing hallucinations through better context.

1. Prompt patterns for business workflows.
2. Few-shot examples and output formats.
3. Chain-of-thought alternatives and reasoning instructions.
4. Prompt safety and review steps.
5. Prompt libraries for teams.

1. Claude API request and response structure.
2. Messages, system instructions and model parameters.
3. Authentication and error handling.
4. Prompt versioning and testing.

1. Why retrieval matters for accurate answers.
2. Preparing knowledge-base content.
3. Document chunking basics.
4. Embeddings, search and source-grounded responses.
5. Testing answer quality.

1. What chunking means in RAG workflows.
2. Chunk size and overlap decisions.
3. Metadata and source labels.
4. Context window planning.
5. When long context is better than RAG.

1. RAG architecture for Claude assistants.
2. Connecting approved documents.
3. LangChain workflow basics.
4. Grounded Q&A assistants.
5. Evaluation and human review.

1. What AI agents are.
2. Tool-use workflows.
3. Multi-step planning.
4. Business automation examples.
5. Guardrails for agent tasks.

● What vector databases do
● Chroma, Pinecone, Weaviate and Qdrant basics
● When to use a vector store
● Connecting retrieval results to Claude
● Testing relevance and accuracy

1. Using Claude Code for codebase understanding.
2. Debugging and refactoring support.
3. Documentation generation.
4. Writing tests and release notes.
5. Developer workflow examples.

1. Accuracy and usefulness checks.
2. Rubrics for business outputs.
3. Human review workflows.
4. Safety and privacy checks.
5. Tracking prompt improvements.

1. Deployment planning.
2. Monitoring Claude workflows.
3. Cost and latency awareness.
4. Security and data privacy.
5. Documentation for maintainable AI workflows.

1. Anthropic Console basics.
2. Claude API deployment patterns.
3. Enterprise knowledge assistants.
4. Integrations with internal tools.

1. Claude, Claude API, Claude Code, Anthropic Console, LangChain, vector databases, notebooks, automation tools and evaluation checklists.