Claude AI Certified Developer – Foundation Level Training

109 Lessons

40 hours

Build foundational Claude development skills with kodestree’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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Claude AI Certified Developer – Foundation Level Training

About Course

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

Course Curriculum

Course Content

Lesson 1 – Introduction to Claude AI & Generative AI

Introduction to Generative AI and Large Language Models
Understanding Anthropic and the Claude model family
Claude capabilities and key use cases
Claude vs. traditional AI/ML applications
Claude API ecosystem and developer workflow
Responsible AI fundamentals

Lesson 2 – Claude Developer Environment

Lesson 3 – Working with Claude API

Lesson 4 – Prompt Engineering with Claude

Fundamentals of effective prompting
Clear instructions and task definition
Context and role prompting
Few-shot prompting
Zero-shot prompting
Structured prompts
XML tags and prompt organization
Prompt templates
Prompt iteration and testing
Common prompting mistakes

Lesson 5 – Advanced Claude Prompting Techniques

Lesson 6 – Structured Outputs & Tool Use

Lesson 7 – Working with Documents & Multimodal Inputs

Lesson 8 – Building Applications with Claude

Lesson 9 – Retrieval-Augmented Generation (RAG)

Introduction to RAG
Why RAG is required
Embeddings and vector databases fundamentals
Document ingestion
Chunking and retrieval
Supplying retrieved context to Claude
Building a basic Claude and RAG workflow
Improving retrieval quality
Handling source attribution and grounded responses

Lesson 10 – Claude Agents & AI Workflows

Lesson 11 – Safety, Security & Responsible AI

Anthropic’s approach to AI safety
Responsible use of Claude
Prompt injection
Data privacy and sensitive information
Security considerations for API applications
Guardrails and validation
Preventing unintended model behavior
Human oversight
Responsible deployment practices

Lesson 12 – Testing, Evaluation & Optimization

Testing Claude applications
Defining evaluation criteria
Accuracy and consistency testing
Prompt evaluation
Model evaluation
Handling edge cases
Latency optimization
Token and cost optimization
Monitoring production applications
Troubleshooting common issues

Lesson 13 – Certification Preparation

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Self Paced Learning

₹47,940.00

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Duration: 40 hrs
109 Lessons & Practical Labs
Lifetime Full Access & Free Upgrades
Downloadable Study Materials & Code Labs
Recognized Certification of Completion
24x7 Online Support & Learner Forum

Placement Partners

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Claude AI Certified Developer – Foundation Level Training Certification Exam

Upon completing the Claude AI Certified Developer – Foundation Level Training, you will receive a globally recognized certification that validates your expertise in data science, machine learning, and AI model development. This certification is a testament to your practical knowledge, hands-on skills, and professional readiness.

The AI & Data Science certification exam assesses your ability to apply real-world concepts, tools, and techniques learned during the course. Certified professionals are in high demand across industries, opening doors to exciting career opportunities and higher salary potential.

Our certification is recognized by top employers and organizations worldwide. Whether you are looking to advance your current career, switch to a new role, or demonstrate your expertise to clients, this certification gives you the competitive edge you need in today’s fast-paced technology landscape.

Frequently Asked Questions

The Claude AI Certified Developer - Foundation Level Training is designed to provide comprehensive, in-depth training in Claude AI Certified Developer - Foundation Level. 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. The program covers foundational concepts through to advanced techniques to ensure you gain job-ready expertise.

This course is ideal for beginners, IT enthusiasts, and working professionals who want to build or advance their career in Claude AI Certified Developer - Foundation Level and qualify for developer positions. There are no stringent prerequisites—basic computer proficiency and a willingness to learn are all that is required. Foundational topics are thoroughly covered during onboarding.

The course is delivered through interactive, live online sessions led by industry experts. You will also have 24/7 access to LMS resources, study materials, and session recordings so you can catch up or revise at your convenience if you miss any live classes.

Yes, hands-on learning is a core component of this course. You will work on practical assignments, real-life use cases, and capstone projects using Claude AI Certified Developer - Foundation Level tools and best practices, helping you build a portfolio to showcase to hiring managers.

Upon successful completion of the course curriculum and project assessments, you will be awarded an industry-recognized Certificate of Completion from Kodestree. We also offer career assistance, including resume-building workshops, mock technical interviews, and job opportunities to help you transition into developer positions.

Contact Us Worldwide

Call:
+91 7204614489

WhatsApp:
+91 7204614489

Email:
admissions@kodestree.com

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“

The trainers explained concepts through real-world attack scenarios, which I was able to apply on the job right after the course. Structured curriculum and hands-on labs were the best part.

Ankit Sharma

SOC Analyst

Cyber Security Course

“

After the CSM training, I can confidently facilitate Sprint ceremonies. The trainer's practical approach and real project examples were extremely helpful.

Priya Menon

Scrum Master

Certified ScrumMaster (CSM)

“

Agile concepts were explained clearly, especially backlog management and team facilitation. A bit more time would have made it even better, but overall a solid course.

Rahul Verma

Project Manager

Certified ScrumMaster (CSM)

“

Even as a beginner, I never felt lost — the step-by-step labs and doubt-clearing sessions made switching careers so much easier.

Sneha Kapoor

Cloud Security Engineer

Cyber Security Course

“

This training gave me more than just a certification — it gave me a Scrum Master mindset. The modules on servant leadership and conflict resolution were the most valuable.

Vikram Singh

Agile Coach

Certified ScrumMaster (CSM)

Claude AI Certified Developer – Foundation Level Training

About Course

Prerequisites

What Will You Learn

Who Should Do This Training

Course Curriculum

Course Content

Lesson 1 – Introduction to Claude AI & Generative AI

Introduction to Generative AI and Large Language Models

Understanding Anthropic and the Claude model family

Claude capabilities and key use cases

Claude vs. traditional AI/ML applications

Claude API ecosystem and developer workflow

Responsible AI fundamentals

Lesson 2 – Claude Developer Environment

Creating and managing an Anthropic account

API keys and authentication

Claude API overview

Developer tools and documentation

API requests and responses

JSON fundamentals

Understanding tokens, context windows, and model parameters

Lesson 3 – Working with Claude API

Making your first Claude API request

Messages API

System prompts

User and assistant messages

Request and response structure

Model selection

Temperature and other generation parameters

Handling API errors and exceptions

Managing API usage and costs

Lesson 4 – Prompt Engineering with Claude

Fundamentals of effective prompting

Clear instructions and task definition

Context and role prompting

Few-shot prompting

Zero-shot prompting

Structured prompts

XML tags and prompt organization

Prompt templates

Prompt iteration and testing

Common prompting mistakes

Lesson 5 – Advanced Claude Prompting Techniques

Chain-of-thought considerations

Step-by-step task decomposition

Prompt chaining

Context management

Long-context prompting

Working with complex instructions

Improving response accuracy and consistency

Reducing hallucinations

Prompt evaluation techniques

Lesson 6 – Structured Outputs & Tool Use

Generating structured responses

JSON-based outputs

Tool and function calling concepts

Defining tools for Claude

Tool-use workflow

Handling tool results

Building applications that combine Claude with external services

Practical tool-use exercise

Lesson 7 – Working with Documents & Multimodal Inputs

Providing documents and text to Claude

Working with PDFs and other supported content

Image understanding capabilities

Extracting information from documents

Summarization and classification

Document-based question answering

Practical document-processing exercise

Lesson 8 – Building Applications with Claude

Claude-powered application architecture

Building a basic AI assistant

Chatbot development

Content-generation applications

Text summarization applications

Classification and extraction applications

Integrating Claude into existing applications

Basic frontend and backend integration concepts

Lesson 9 – Retrieval-Augmented Generation (RAG)