AI Application Developer
Profile Code: AL-AI-06
- ₹21 LPA (Median Salary)
- Lecture Duration 2hrs
- Course Duration 20 Weeks
Skills You Learn: AI Application Development | Large Language Models (LLMs) & Generative AI | Machine Learning & Deep Learning | Python & API Development | Prompt Engineering & AI Agents | Cloud Computing & MLOps | Database Integration & System Design | AI Deployment, Testing & Optimization
Overview Video
About This Course
AI Application Developers design, build, and deploy intelligent applications powered by artificial intelligence to automate business processes, enhance user experiences, and improve decision-making. They integrate large language models (LLMs), machine learning models, APIs, and cloud services to create scalable AI-driven solutions for real-world business challenges. This course prepares learners for a career as an AI Application Developer through hands-on projects, industry workflows, collaborative learning, and real-world case studies aligned with current hiring expectations in India. Learners gain expertise in Python, prompt engineering, AI agents, Retrieval-Augmented Generation (RAG), LangChain, API integration, vector databases, workflow automation, and responsible AI practices. The curriculum includes practical experience with leading AI frameworks and cloud platforms. Through live projects and capstone assignments, participants develop programming, problem-solving, and AI solution development skills, preparing them for AI Application Developer, AI Engineer, LLM Engineer, and AI Solutions Developer roles across diverse industries.
Course Content
7 modules · 20 weeks · 2hrs/dayPython Course
The Python Course Basic to Advance provides learners with a strong foundation in Python programming for developing modern AI applications. Participants learn Python syntax, variables, data types, operators, control statements, loops, functions, object-oriented programming, file handling, exception handling, and modular programming. Through hands-on coding exercises and real-world projects, learners develop the programming skills required to build AI-powered applications, automate workflows, integrate APIs, and create scalable software solutions for business and enterprise environments.
FastAPI Course
The FastAPI Course Basic to Advance equips learners with the skills to develop high-performance backend APIs for AI applications. Participants explore API routing, request validation, dependency injection, asynchronous programming, authentication, middleware, database integration, testing, documentation generation, deployment, and performance optimization. Through practical implementation projects, the course prepares learners to build secure, scalable, and production-ready backend services for AI-powered systems.
Streamlit Course
The Streamlit Course Basic to Advance focuses on building interactive web interfaces for AI and data-driven applications. Learners master application layout, widgets, session state, file uploads, forms, charts, data visualization, API integration, chatbot interfaces, deployment, and user experience optimization. The course emphasizes project-based learning to create professional AI dashboards and user-friendly applications without extensive frontend development.
LangChain Course
The LangChain Course Basic to Advance provides comprehensive training in developing intelligent AI workflows using the LangChain framework. Participants learn prompt templates, chains, agents, memory, document loaders, retrieval-augmented generation (RAG), vector database integration, tools, output parsers, and workflow orchestration. The course enables learners to build enterprise-grade AI applications that integrate language models with external knowledge sources and business systems.
OpenAI API Course
The OpenAI API Course Basic to Advance teaches learners how to integrate OpenAI models into custom AI applications. Participants explore API authentication, chat completions, embeddings, structured outputs, function calling, streaming responses, prompt optimization, error handling, rate limiting, and security best practices. Through real-world projects, the course develops the skills required to build intelligent, scalable, and production-ready AI solutions.
Docker Course
The Docker Course Basic to Advance equips learners with the expertise to containerize AI applications for consistent development and deployment across environments. Participants learn Docker images, containers, Dockerfiles, Docker Compose, networking, storage volumes, environment management, optimization, deployment strategies, and integration with AI workflows. The course emphasizes practical implementation to create portable, scalable, and production-ready AI applications.
GitHub Course
The GitHub Course Basic to Advance develops professional skills in version control, collaboration, and DevOps workflows for AI application development. Participants learn repository management, branching strategies, pull requests, code reviews, issue tracking, GitHub Actions, CI/CD pipelines, project management, release management, and collaborative development practices. Through hands-on projects, the course prepares learners to efficiently manage AI codebases and streamline software delivery in team environments.
Key Responsibilities
- Design and develop AI-powered applications using machine learning and generative AI technologies
- Build and integrate AI models, APIs, and intelligent workflows into web and enterprise applications
- Develop chatbots, recommendation engines, and automation solutions to solve business problems
- Test, deploy, and optimize AI applications for scalability, performance, and security
- Collaborate with data scientists, software engineers, and business teams to deliver end-to-end AI solutions
Growth Path
Tools Used
Perfect For
Computer Science and Engineering Graduates | Software Developers and Full-Stack Engineers | AI and Machine Learning Enthusiasts | Data Scientists and Automation Professionals | Product and Innovation Teams | Individuals Interested in Building Intelligent Applications and AI Products
Fee Structure
Mentor
Analytics Learners
Professional Analyst & Mentor
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