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AI for Programmers | AI Training & Enablement | 7Sparx
AI for Programmers | AI Training & Enablement | 7Sparx
About The Course
This 3-day AI for Programmers course is a hands-on technical workshop built for developers and technical teams who want to design, build, and ship AI-powered applications using modern tools and frameworks. By the end of the program, participants will understand how to connect to leading AI models through APIs, structure reliable AI workflows, and turn prototypes into usable applications for real business scenarios.
Across the course, learners will practice building with the Gemini API, implement multimodal Retrieval Augmented Generation (RAG), and create their own custom ChatGPT-style assistant. They will also learn how to build and deploy AI applications with Hugging Face, then use LangChain to orchestrate prompts, tools, memory, and retrieval into production-ready app patterns, as detailed in the attached course outline.
The program blends coding labs with applied prompt mastery and practical data analysis, including advanced analysis workflows with ChatGPT, exploratory data analysis in Python, and an applied case (real estate analysis) that mirrors real workplace requirements. It finishes with a hackathon-style group project where teams design, build, and present a working solution, reinforcing end-to-end execution from idea to demo.
Duration
3 Days
Training Hours
18 Hours
Class Capacity
25 Participants
Private Team Pricing
Have a team of 4 or more students? Please request special pricing for private team training today.
Learning Objectives
Set up and use the Gemini API to build AI features inside applications.
Implement multimodal RAG with Gemini to ground responses in trusted data.
Build a custom ChatGPT-style assistant tailored to specific use cases.
Build and deploy AI applications using Hugging Face tooling and models.
Understand LangChain fundamentals and when to use it in AI app development.
Create a first LangChain application that chains prompts, tools, and retrieval.
Use advanced AI-driven data analysis workflows to generate insights faster.
Perform exploratory data analysis in Python with AI assistance for speed and quality.
Apply AI and Python to a realistic data case study, turning analysis into decisions.
Demonstrate end-to-end delivery through a hackathon project, from design to working prototype and presentation.
Who Will Benefit From The Course?
Application Programmers
Application Developers and Coders
Software and Data Engineers
Technical teams
Available Training Formats

Available Globally

Onsite
Class

Live Remote Class
Key Features
- Feedback Support: Instructor’s guidance aimed at assisting participants in enhancing their abilities.
- Certification: A Formal acknowledgment to the participants of successfully finishing the course by providing a certificate of completion.
- Interactive Exercises: Activities that involve participants, such as gamification, quizzes, polls, role plays, and case studies.
- Resource Library: Provisioning support reading materials, references, and related resources for a deeper understanding of the subject.
- Pre- and Post-Assessment: Conducting participants’ knowledge assessment before the course and evaluating knowledge and learning gained after attending.
- After Course Action Plan: Work with participants on devising an action plan for the implementation of the knowledge and learnings gain.
Need a private training at a specific location?
View our full training calendar or contact us to schedule private training.
$1.00


AI for Programmers








