Claude AI Certified Developer - Foundation Level Training

13 Lesson

24 Hours

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Build foundational Claude development skills with igmGuru's Claude AI Certified Developer - Foundation Level course. The program covers Claude API integration, prompt engineering, structured outputs, tool use, document and image inputs, RAG, AI agents, application development, responsible AI, testing, and cost optimization. You will work with core Claude developer concepts and practical scenarios while preparing for the foundation-level certification assessment.

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Overview of Claude AI Developer Training

This foundation-level course introduces developers to building applications with Claude and the Anthropic API. It covers API usage, prompt design, tool integration, RAG workflows, document processing, agent concepts, application security, evaluation, and responsible AI practices to establish practical skills for Claude-based application development.

Prerequisites

Basic Programming Knowledge
Basic Python Knowledge
Basic API Concepts
Basic JSON Knowledge
Basic Generative AI Concepts

What Will You Learn

Understand Claude and Generative AI Fundamentals
Work with the Claude API
Configure API Authentication and Requests
Apply Prompt Engineering Techniques
Use Structured Outputs and Tool Use
Process Documents and Images with Claude
Build Claude-Powered Applications
Implement Retrieval-Augmented Generation (RAG)
Develop Basic Claude Agent Workflows
Apply AI Safety and Security Practices
Test and Evaluate Claude Applications
Optimize Tokens, Latency, and API Costs
Prepare for the Foundation-Level Certification Assessment

Who Should Do This Training

Software Developers
AI Developers
Python Developers
Generative AI Developers
Machine Learning Engineers
Application Developers
AI Engineers
Backend Developers
Technical Professionals Working with Claude
Developers Beginning Claude Application Development

Key Features

Instructor Led Training: 24 Hrs
Flexible Schedule
24 X 7 Lifetime Support
100% Job Assistance

Course Curriculum

Lesson 1 - Introduction to Claude AI & Generative AI

1. Introduction to Generative AI and Large Language Models

2. Understanding Anthropic and the Claude model family

3. Claude capabilities and key use cases

4. Claude vs. traditional AI/ML applications

5. Claude API ecosystem and developer workflow

6. Responsible AI fundamentals

Lesson 2 - Claude Developer Environment

1. Creating and managing an Anthropic account

2. API keys and authentication

3. Claude API overview

4. Developer tools and documentation

5. API requests and responses

6. JSON fundamentals

7. Understanding tokens, context windows, and model parameters

Lesson 3 - Working with Claude API

1. Making your first Claude API request

2. Messages API

3. System prompts

4. User and assistant messages

5. Request and response structure

6. Model selection

7. Temperature and other generation parameters

8. Handling API errors and exceptions

9. Managing API usage and costs

Lesson 4 - Prompt Engineering with Claude

1. Fundamentals of effective prompting

2. Clear instructions and task definition

3. Context and role prompting

4. Few-shot prompting

5. Zero-shot prompting

6. Structured prompts

7. XML tags and prompt organization

8. Prompt templates

9. Prompt iteration and testing

10. Common prompting mistakes

Lesson 5 - Advanced Claude Prompting Techniques

1. Chain-of-thought considerations

2. Step-by-step task decomposition

3. Prompt chaining

4. Context management

5. Long-context prompting

6. Working with complex instructions

7. Improving response accuracy and consistency

8. Reducing hallucinations

9. Prompt evaluation techniques

Lesson 6 - Structured Outputs & Tool Use

1. Generating structured responses

2. JSON-based outputs

3. Tool and function calling concepts

4. Defining tools for Claude

5. Tool-use workflow

6. Handling tool results

7. Building applications that combine Claude with external services

8. Practical tool-use exercise

Lesson 7 - Working with Documents & Multimodal Inputs

1. Providing documents and text to Claude

2. Working with PDFs and other supported content

3. Image understanding capabilities

4. Extracting information from documents

5. Summarization and classification

6. Document-based question answering

7. Practical document-processing exercise

Lesson 8 - Building Applications with Claude

1. Claude-powered application architecture

2. Building a basic AI assistant

3. Chatbot development

4. Content-generation applications

5. Text summarization applications

6. Classification and extraction applications

7. Integrating Claude into existing applications

8. Basic frontend and backend integration concepts

Lesson 9 - Retrieval-Augmented Generation (RAG)

1. Introduction to RAG

2. Why RAG is required

3. Embeddings and vector databases fundamentals

4. Document ingestion

5. Chunking and retrieval

6. Supplying retrieved context to Claude

7. Building a basic Claude and RAG workflow

8. Improving retrieval quality

9. Handling source attribution and grounded responses

Lesson 10 - Claude Agents & AI Workflows

1. Introduction to AI agents

2. Agent architecture

3. Claude as an agentic system

4. Planning and task execution

5. Tool-based workflows

6. Multi-step reasoning workflows

7. Agent safety and control

8. Basic agent implementation exercise

Lesson 11 - Safety, Security & Responsible AI

1. Anthropic's approach to AI safety

2. Responsible use of Claude

3. Prompt injection

4. Data privacy and sensitive information

5. Security considerations for API applications

6. Guardrails and validation

7. Preventing unintended model behavior

8. Human oversight

9. Responsible deployment practices

Lesson 12 - Testing, Evaluation & Optimization

1. Testing Claude applications

2. Defining evaluation criteria

3. Accuracy and consistency testing

4. Prompt evaluation

5. Model evaluation

6. Handling edge cases

7. Latency optimization

8. Token and cost optimization

9. Monitoring production applications

10. Troubleshooting common issues

Lesson 13 - Certification Preparation

1. Foundation-level concepts revision

2. Claude API and developer concepts

3. Prompt engineering assessment

4. Tool-use and application-development concepts

5. Responsible AI and security review

6. Practice questions

7. Scenario-based exercises

8. Mock assessment

9. Certification exam preparation

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Course Fees

Online Class Room Program

US $ 799.00

100% Money Back Guarantee

Duration : 24 Hrs
Plus Self Paced

Classes Starting From

Fast Track Batch 16 Aug 2026
Weekday Batch 17 Aug 2026
Weekend Batch 22 Aug 2026

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Claude AI Developer Certification Training

After successfully completing Claude AI Certified Developer - Foundation Level Training, igmGuru provides a Course Completion Certificate to recognize successful completion of the training program. This certificate is issued by igmGuru and is separate from any certification issued by Anthropic or another certification body.

Certification Details

Training Certificate: igmGuru Course Completion Certificate
Certification Level: Foundation Level
Certification Focus: Claude AI development and application fundamentals
Exam: Foundation-level certification assessment
Exam Preparation: Claude API, prompt engineering, tool use, RAG, AI agents, application development, safety, security, testing, and evaluation

Claude AI Developer Certification Training

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