Claude AI Solution Architect — Designing Enterprise AI Applications-Live Training Demo

Claude AI Solution Architect — Designing Enterprise AI Applications

(Master Claude AI, Model Context Protocol (MCP), Agentic AI, Enterprise Architecture, and Production-Ready AI Solutions. A scenario-driven, 9-module program built from the official Anthropic exam blueprint and aligned to the Claude Certified Architect — Foundations (CCAR-F) exam domains.)

 

This program prepares participants to design, implement, and evaluate production-grade Claude-based applications, and to pass the Claude Certified Architect — Foundations (CCAR-F) certification exam.

The curriculum is built directly from the official Anthropic exam blueprint and covers agentic architecture, tool and MCP design, Claude Code workflows, prompt engineering for structured output, and context/reliability engineering for production systems.

The course is scenario-driven. Rather than teaching APIs in isolation, each module builds toward the same 8 realistic scenarios the certification exam draws from (customer support agents, multi-agent research systems, CI/CD code review, structured data extraction, and others), enabling participants to reason about trade-offs the way the exam—and real production work—actually requires.

About the Instructor:

Takshin Varma is a highly experienced AI Solutions Architect with 14+ years of extensive industry experience in Artificial Intelligence, Large Language Models (LLMs), Agentic AI, Enterprise Solution Architecture, and Generative AI-driven application development. He has worked on designing and implementing scalable AI solutions, intelligent automation systems, enterprise-grade AI applications, and production-ready LLM architectures using modern AI technologies. He possesses strong expertise in Anthropic Claude, Claude Code, Model Context Protocol (MCP), Agentic AI Systems, Prompt Engineering, Context Engineering, Retrieval-Augmented Generation (RAG), Tool Calling, Multi-Agent Architectures, AI Application Development, API Integration, and Enterprise AI Solution Design. Takshin specializes in building reliable, secure, and production-grade AI applications while applying industry best practices for scalable AI architecture and enterprise deployment. With deep expertise in Claude-based application architecture and AI engineering, he helps professionals effectively design, implement, and evaluate production-ready AI systems aligned with the Claude Certified Architect — Foundations (CCAR-F) certification objectives. His practical understanding of real-world AI implementation challenges enables learners to confidently architect intelligent applications, optimize LLM workflows, and make sound architectural trade-offs for enterprise use cases. Takshin also has 14+ years of technical training experience and has trained 700+ professionals over the last 5 years. His training sessions are highly interactive, practical, and industry-oriented, with a strong emphasis on hands-on labs, architecture design, real-world implementation, certification-focused scenarios, and production-grade AI application development. He has a natural ability to simplify complex concepts related to Claude AI, Agentic Systems, MCP, Prompt Engineering, Context Engineering, and Enterprise AI Architecture, making his sessions easy to understand for both beginners and experienced IT professionals. His passion for teaching and commitment to learner success make his training programs highly engaging, practical, certification-focused, and career-oriented.

Live Sessions  Price:

For LIVE sessions – Offer price after discount is 300 USD 259 USD 119 USD Or 25000 INR 19900 INR 9900 Rupees

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Free Demo Session:

19th August @ 8:30 PM – 9:30 PM (IST) (Indian Timings)

19th August @ 11:00 AM – 12:00 PM (EST) (U.S Timings)

19th August @ 4:00 PM – 5:00 PM (BST) (UK Timings)

 

Class Schedule:

For Participants in India: Monday to Friday @8:30 PM – 9:30 PM (IST)

For Participants in the US:  Monday to Friday @ 11:00 AM – 12:00 PM (EST)

For Participants in the UK:  Monday to Friday @ 4:00 PM – 5:00 PM (BST)

 

What student’s have to say about Srikanth:

I had enrolled for the Claude Certified Architect — Foundations (CCAR-F) course by Takshin Varma, and it was truly a great course for anyone beginning their journey in Claude AI, Agentic AI, and enterprise AI application development. Takshin sir is an excellent trainer who explains every concept very clearly and thoroughly. I am completely satisfied with the course. Thanks to Takshin sir and the team for such a wonderful learning experience! – Satanu Bagchi Hey Takshin, thank you so much for all your sessions! Sorry I couldn’t attend the last few classes because my sleep schedule got disturbed and I couldn’t wake up early. Apologies for that! But I genuinely enjoyed all the other sessions. You’ve been extremely supportive and patient with all our questions and requests. Hoping to join your future courses as well. Good luck everyone! 😊 – Praneetha Mandapati It was a pleasure learning from you throughout this training session. Every topic in the syllabus was explained clearly, and all our doubts were addressed patiently. Your support and assistance are highly appreciated. Thank you once again! 🙏🏻 – Devang Hi @Takshin Sir, thank you for all the valuable insights shared throughout the sessions. Every class was interactive and motivating. After returning from my second maternity break, I was feeling a bit low and doubtful about restarting my learning journey, but your sessions really helped me regain confidence and quickly refresh my concepts while learning many new things about Claude AI, Prompt Engineering, MCP, and Agentic AI. Will definitely stay connected 😊 – Ramya Hi, the sessions were excellent. Takshin sir has outstanding knowledge of Claude AI, Model Context Protocol (MCP), Prompt Engineering, and AI Architecture. All doubts and queries were explained in a very easy and understandable way. – Vivek Singh Excellent Teaching. – Kasthuraiah Bellamkonda Very good sessions, and a very calm and composed trainer. – Pallavi Khare The training was really good. I got to learn many new concepts related to Claude AI, Agentic AI, MCP, Prompt Engineering, Context Engineering, Tool Design, and production-grade AI applications. Takshin sir’s expertise is excellent, and he makes every topic easy to understand. I would love to join more courses by him in the future. – Divya The course was quite detailed, and our trainer Takshin was very approachable in resolving doubts and questions. I would definitely call it a “Value for Money” course. Even though I had some prior knowledge, I noticed that the course covered all the fundamentals thoroughly for beginners as well. Overall, it was a great experience. Thanks!! – Arpit Arora Takshin is someone who is more dedicated to your learning journey than you are yourself. – Prashant Singh Excellent explanation of Claude AI Architecture, Prompt Engineering, MCP, and Agentic AI concepts. Very useful for beginners as well as experienced professionals who want to strengthen their fundamentals. – Micheal S. This course is highly recommended for beginners who want to enter the Generative AI industry and build a strong foundation in Claude AI application architecture and prepare for the Claude Certified Architect — Foundations (CCAR-F) certification. – Naveen The teaching methods are highly interactive, and you can learn a lot from Takshin sir. This is one of the best courses I have come across for Claude AI, Agentic AI, MCP, and production-ready AI application development. – Sachin Takshin has been truly amazing throughout the course. He is undoubtedly one of the best instructors who can teach Claude AI Architecture, Agentic AI Systems, and enterprise AI development in such a practical and engaging way. – Sneha It is really a wonderful course that provides valuable insights into multiple core areas of Claude AI, Prompt Engineering, Context Engineering, MCP, Agentic AI, and production-grade AI application architecture. – Pooja

Prerequisites

Required

• Working proficiency in at least one general-purpose programming language (Python or JavaScript/TypeScript recommended)
• Basic familiarity with REST APIs and JSON

Recommended

• 6 months of hands-on experience with LLM-based application development (recommended for faster learning, but not mandatory)

Not Required

• Prior Claude experience
• Previous AI/ML background
• Any prior certification

Salient Features:

• 45 Hours of Live Cloud Solutions AI Architect Training with real-time project implementation
• 1 Year Recorded Video Access
• Hands-on practical sessions with real-world performance testing scenarios
• Course Completion Certificate

Who can enroll in this course?

• Solution Architects
• AI Engineers
• Backend Developers
• Software Engineers
• Technical Leads
• Full-Stack Developers
• Platform Engineers
• DevOps Engineers working on AI-powered applications
• LLM Application Developers
• Professionals preparing for the Claude Certified Architect — Foundations (CCAR-F) certification
• Anyone interested in building production-grade Claude AI applications

What will I learn by the end of this course?

By the end of this Cloud Solutions AI Architect training, you will be able to:

• Design and build production-grade Claude AI applications.
• Architect multi-agent AI systems using the Claude Agent SDK.
• Configure and integrate Model Context Protocol (MCP) servers.
• Apply Prompt Engineering techniques for reliable and structured outputs.
• Manage context, memory, and provenance in long-running AI workflows.
• Develop and manage Claude Code projects using industry best practices.
• Design robust tool interfaces, JSON schemas, and structured AI workflows.
• Implement error handling, escalation strategies, and human-in-the-loop systems.
• Build end-to-end agentic AI applications using real-world architectural patterns.
• Prepare confidently for and pass the Claude Certified Architect — Foundations (CCAR-F) certification exam.

Course syllabus:

Module 1: API Fundamentals & Tool Design (5 Hours)

• Claude API request/response lifecycle and message structure
• System prompts, user messages, assistant responses, and tool interactions
• Understanding tool_use, tool_result, and stop_reason
• Designing effective system prompts for production applications
• Context window management and prompt hierarchy
• Tool description best practices and ambiguity reduction
• JSON Schema for structured outputs
• Tool selection strategies using tool_choice
• Designing reliable and production-ready tool interfaces
• Hands-on exercises in API requests and tool schema design

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Module 2: Claude Agent SDK & Model Context Protocol (MCP) (5 Hours)

• Introduction to Agentic AI architecture
• Claude Agent SDK fundamentals
• Agent lifecycle and execution flow
• AgentDefinition and Hub-and-Spoke orchestration
• Multi-agent systems and task delegation
• Context isolation and context passing between agents
• Agent SDK hooks (PreToolUse & PostToolUse)
• Model Context Protocol (MCP) architecture
• MCP server configuration and authentication
• Structured error handling and recovery mechanisms
• Hands-on labs using Agent SDK and MCP servers

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Module 3: Claude Code Configuration & Development Workflows (5 Hours)

• Introduction to Claude Code
• CLAUDE.md hierarchy and project configuration
• Importing context using @path
• Project rules with .claude/rules
• Path-scoped conventions and governance
• Slash Commands and reusable Skills
• Planning Mode vs Direct Execution
• Claude Code session management
• CI/CD integration using Claude Code
• Team collaboration best practices

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Module 4: Prompt Engineering & Batch Processing (5 Hours)

• Prompt Engineering fundamentals
• Zero-shot and Few-shot prompting
• Writing structured prompts
• Prompt templates and reusable prompt patterns
• Explicit instructions vs vague prompts
• Prompt chaining strategies
• Interview pattern for complex tasks
• Retry loops and self-correction techniques
• Batch API fundamentals
• Batch processing strategies and optimization
• Cost-efficient prompt design

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Module 5: Task Decomposition, Escalation & Error Handling (5 Hours)

• Designing agent workflows
• Fixed pipelines vs dynamic task decomposition
• Multi-pass reasoning strategies
• Multi-agent collaboration techniques
• Escalation workflows and human-in-the-loop design
• Confidence calibration techniques
• AI safety and oversight
• Error classification strategies
• Multi-agent error recovery
• Designing resilient production workflows

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Module 6: Context Management, Provenance & Built-in Tools (5 Hours)

• Long-context management strategies
• Persistent memory and facts blocks
• Tool-result trimming techniques
• Position-aware prompt engineering
• Managing scratchpad files
• Subagent state management
• Context persistence across workflows
• Provenance tracking and attribution
• Built-in Claude tools
• Reliability engineering for enterprise AI applications

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Module 7: Claude Certified Architect Domain Review (5 Hours)

• Domain 1: Agentic Architecture & Orchestration
• Domain 2: Tool Design & MCP Integration
• Domain 3: Claude Code Configuration & Workflows
• Domain 4: Prompt Engineering & Structured Output
• Domain 5: Context Management & Reliability
• End-to-end architecture review
• Exam-oriented scenario walkthroughs
• Best practices for production deployments

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Module 8: Capstone Projects & Hands-on Implementation (5 Hours)

• Build a multi-tool AI agent
• Implement structured tool descriptions
• Design escalation workflows
• Claude Code team project configuration
• Structured data extraction pipeline
• Multi-agent research assistant
• Production-ready AI workflow implementation
• End-to-end architecture validation
• Real-world enterprise project scenarios

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Module 9: Certification Preparation & Mock Exam (5 Hours)

• CCAR-F exam overview
• Exam domains and scoring methodology
• Practice questions with detailed explanations
• Distractor analysis and reasoning techniques
• Full-length timed practice exam
• Domain-wise performance analysis
• Weak-area identification and improvement strategy
• Final revision and certification guidance
• Exam-day preparation and best practices

Frequently Asked Questions (FAQs):