Building Solutions with LLMs: ChatGPT, Claude & Gemini
Learn to develop powerful, multi-platform applications and advanced automation by mastering the prompt engineering and API integration of the leading Large Language Models.
- Duration30 Hours
- FormatOnline, instructor-led
- On completionCertificate
Course overview
This highly practical course focuses on application development using the APIs of leading Large Language Models (LLMs), including OpenAI’s GPT (ChatGPT), Anthropic’s Claude, and Google’s Gemini. You will learn advanced prompt engineering for different models, understand their unique strengths and weaknesses, and master the techniques for integrating them into production-grade applications using standard programming and cloud tools.
- Job referrals
- Certificate of Course Completion
What you'll learn
Multi-Model Mastery
Proficiently work with the APIs of GPT, Claude, and Gemini for varied use cases.
Advanced Prompting
Design prompts that deliver high-quality, reliable, and consistent outputs across different models.
RAG Implementation
Build applications that can accurately cite and use private or specific domain knowledge.
Agent Development
Learn to create systems where the LLM can intelligently decide to use a tool or external function.
Curriculum
5 modules · 30 Hours01LLM API Integration Fundamentals
Setting up API access for GPT, Claude, and Gemini, managing API keys, and understanding core API endpoints and parameters (e.g., temperature, max tokens).
02Advanced Prompt Engineering and Model Selection
Mastering zero-shot, few-shot, and chain-of-thought prompting. Learning how to select the optimal LLM (GPT, Claude, or Gemini) for specific tasks based on cost, latency, and performance.
03Developing with Retrieval-Augmented Generation (RAG)
Hands-on implementation of RAG systems to ground LLM responses in proprietary data, including vector databases and chunking strategies.
04Function Calling and Agent Development
Using advanced features like Function Calling/Tool Use to enable LLMs to interact with external tools and building basic software agents.
05Quality Assurance, Security, and Cost Management
Techniques for testing LLM outputs, managing prompt injection risks, and strategies for minimizing API usage costs in production.
Who it's for
Software Developers
Engineers looking to rapidly build AI features into their products using leading LLMs.
AI/ML Engineers
Professionals who want to specialize in the application and integration of pre-trained large models.
Data Scientists
Individuals looking to apply their data expertise to the field of generative AI application development.
Technical Architects
Leaders responsible for choosing the right LLM platform for enterprise solutions.
Before you start
Strong working proficiency in Python and familiarity with asynchronous programming and JSON data structures is required.
How you'll learn
Immersive instructor-led sessions
Participate in dynamic, hands-on sessions led by expert instructors to gain practical skills in a supportive learning environment.
Develop production-ready LLM-powered applications
Successfully build and integrate functional LLM applications using the APIs of GPT, Claude, and Gemini, including advanced RAG systems.
Build something real for your project portfolio
You will complete a hands-on project that can be added to your professional portfolio to demonstrate your skills to potential employers.
Learn anytime with unlimited 1-year access to contents and tools
Gain continuous learning with one year of unlimited access to all course materials, tools, and resources, allowing you to study at your own pace and revisit topics as needed.
Questions
Does the course provide API credits?
The course will guide you on setting up developer accounts and managing usage, but students are responsible for any API usage fees incurred during their personal project work.
Is this a hands-on course?
Yes, this is a heavy-coding course focused entirely on building and integrating real-world solutions.
Is there certification upon completion?
Yes, upon successful completion, participants will receive a certificate demonstrating their competency in building solutions with leading LLMs.
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