Building Your AI Agent (For Coders)
"Transform your skills into building next-generation AI systems. "
The AI SCHOOL and STTAR invite you to join ONE WEEK Online Certificate program on Building Your AI Agent
Building AI Agents for Coders to Lead in the Age of AI
Learn through live sessions where you build AI agents step by step with expert guidance.
Best for coders who want to create smart and real-world AI applications.
120 hours of learning covering basics to advanced AI agent development.
Get a certificate to show your skills in building AI agents.
Unlock the Power of AI through Building Your AI Agent
Module 1
- Understand core cloud concepts including IaaS, PaaS, and SaaS and when to use each model.
- Compare AWS, Azure, and GCP across pricing, services, global regions, and availability zones.
- Set up cloud accounts, navigate consoles, configure billing alerts, and apply free-tier best practices.
Module 2
- Launch and configure EC2 instances and Azure Virtual Machines with the right instance types for your workload.
- Implement auto-scaling policies and load balancers to handle traffic spikes without downtime.
- Deploy serverless functions using AWS Lambda and Azure Functions with event-driven triggers and API Gateway integration.
Module 3
- Store and manage files at scale using S3 and Azure Blob Storage with lifecycle policies and access controls.
- Set up relational databases (RDS, Azure SQL) and NoSQL options (DynamoDB, Cosmos DB) for different data needs.
- Design backup strategies, enable point-in-time recovery, and implement multi-region data replication
Module 4
- Design Virtual Private Clouds (VPCs) with subnets, route tables, internet gateways, and NAT configurations.
- Configure security groups, network ACLs, and IP addressing schemes to control traffic flow securely.
- Implement IAM roles, policies, and encryption standards to meet compliance and cloud security best practices.
Module 5
- Use SageMaker and Azure Machine Learning to host, version, and serve trained AI models as live endpoints.
- Configure inference pipelines, auto-scaling for model serving, and real-time monitoring of model performance.
- Integrate deployed model APIs into web apps, chatbots, and business workflows using REST and SDK calls.
Module 6
- Set up CloudWatch and Azure Monitor dashboards, log streams, and automated alerts for your cloud resources.
- Analyse logs to detect anomalies, trace performance bottlenecks, and ensure uptime for AI workloads.
- Reduce spend using resource tagging, reserved and spot instances, right-sizing, and cloud cost monitoring tools.
Tools You Master
Meet Your Mentors
Ganta Srinath Reddy
Founder & CEO - The AI SCHOOL
Gopi Krishna Lakkepuram
Founder & CEO - Hyperleap AI
T M Praneeth Naidu
Founder & CTO - Cognisys AI
Key Outcomes
Build real AI agents that can think, respond, and take actions.
Use LLMs, tools, and APIs to create practical AI solutions.
Gain hands-on skills to design and deploy working AI systems.
Learn to build smart workflows using memory and reasoning.
Still wondering if this Building Your AI Agent (For Coders) is for you?
Learn how to design, build, and deploy AI agents from scratch and apply them across real-world domains.
- Students
- Teachers
- Coders
- Researchers
- Non-coders
- AI Enthusiasts
- Professionals
Get Certified by the Best in AI Skilling and Teacher Training
Frequently Asked Questions (FAQs)
It becomes smart by using AI models to understand, reason, and choose the best action.
Yes, basic coding is needed to connect models, tools, and workflows.
The main goal is to complete tasks automatically with minimal human input.
No, AI agents can take actions, while chatbots mainly respond to questions.
AI models, APIs, data, and tool integrations power an AI agent.
Start learning today!
- Inclusions
- 5 Hours
- Get Certified by the Best in AI Skilling and Teacher Training
- Mentors: Tech Startup Founders