ChatGPT Developer Training at Wisen, Chennai, India, covers core APIs, tools, and practical workflows for building with ChatGPT, including Prompt Engineering, Chat Completions API, Context Management, Files API, Function Calling, Tool Use, Tool Runner, Assistants API, and Agentic AI. Build practical skills for real-world applications, automation, and intelligent workflows.
Learn with Structure. Build with Confidence.Grow with AI. Build Project-Ready Skills.
Build. Integrate. Innovate.
Build practical ChatGPT development skills for the AI-Era through hands-on training in OpenAI APIs, prompt engineering, context engineering, function calling, tool use, structured outputs, AI agents, skills & plugins, and application integration. Develop project-ready AI engineering capabilities and build intelligent applications that create new career opportunities in modern software development.
Introduction to LLM Application Development Topics
Introduction to LLM Application Development Topics
Moving Beyond
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Moving Beyond
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For Organizations
Enable your development teams to build with modern AI through AI-Enabled Learning across AI Agents, Agentic AI, AI Workflows, AI Pipelines, API Integration, Tool Calling, Structured Outputs, Evaluation, Testing, and AI-Powered Applications. Wisen’s ChatGPT Developer Training combines AI-Assisted Learning for understanding with AI-Paired Training for practical development, helping professionals integrate AI into real-world applications while retaining engineering judgment, problem-solving, and technical ownership.
Develop practical skills across AI agents, agentic workflows, API integration, tool calling, structured outputs, and AI-powered applications.
Learn to use ChatGPT and AI development capabilities as intelligent collaborators while maintaining human reasoning and engineering ownership.
Build structured learning paths for new hires, freshers, and experienced developers adopting or strengthening AI development skills.
Practice building AI workflows, agents, pipelines, tool integrations, application features, evaluation processes, and AI-assisted development workflows.
Align training with your team’s roles, technology stack, AI adoption objectives, applications, projects, and organizational requirements.
Evaluate practical progress through AI-assisted assessments that identify strengths, skill gaps, and areas for improvement.
Develop practical capabilities through ChatGPT Training to build AI-powered applications, design effective prompts and context, integrate APIs, work with tools and structured outputs, create AI workflows, and evaluate AI application behavior.
Build practical applications that use ChatGPT capabilities to support real-world tasks and workflows.
Design clear and structured prompts that guide ChatGPT toward useful and consistent results.
Provide relevant instructions, information, examples, and constraints to improve AI responses.
Connect applications with ChatGPT capabilities through APIs and structured application workflows.
Design predictable AI responses that can be consumed reliably by software applications.
Enable AI applications to interact with external tools, services, and data sources.
Design multi-step workflows where AI can reason, use tools, and complete defined tasks.
Structure AI interactions to create useful, consistent, and goal-oriented user experiences.
Organize AI-powered applications into maintainable components with clear responsibilities.
Choose appropriate models based on capability, task complexity, performance, cost, and application requirements.
Assess AI responses and application workflows for accuracy, relevance, reliability, and task performance.
Develop systematic tests for prompts, outputs, tool interactions, workflows, and application behavior.
Identify and resolve problems related to prompts, context, tool calls, outputs, and application logic.
Apply ChatGPT Developer Training practices to collaborate with AI during application development while retaining engineering ownership.
Apply concepts from a ChatGPT Course and ChatGPT Codex Training to coding, implementation, testing, debugging, and AI-powered software development workflows.
After completing ChatGPT Training, participants can move from simply using ChatGPT to building with ChatGPT. They can apply prompting, context engineering, API integration, tool calling, structured outputs, evaluation, testing, and AI-assisted development practices to real application development challenges.
The material for this ChatGPT Course is built on 27+ years of Python training and software development experience, combined with daily use of AI developer tools in real projects and refined through corporate ChatGPT Developer Training programs and live batches.
Every chapter, prompt example, lab activity, and exercise in this ChatGPT Training is written around developer work — reading unfamiliar code, drafting tests, refactoring, debugging, and ChatGPT Codex Training workflows — so you practise directing the tool and verifying what it returns instead of trusting it.
Structured explanations of instruction design, context, and iteration written for engineering tasks.
Labs that take one coding task end to end with ChatGPT, including the review step most people skip.
Independent tasks on refactoring, test generation, debugging, and documentation with AI assistance.
Prompt structures for recurring development work, with notes on where each one breaks down.
A path from first prompts to Codex workflows and API integration, one capability at a time.
Concise references for OpenAI models, settings, limits, and verification habits worth keeping.
Written by trainers who judge AI output against decades of software engineering practice.
Composed by trainers who use these tools daily — never generated wholesale by them.
Developed in-house rather than collected from prompt lists circulating online.
Every technique is applied to a real coding task and its result reviewed critically.
Updated as models, features, and developer tooling change, which in this field is often.
Materials teach how to check AI output, because accepting it unread is the real risk.
Our Commitment
The ChatGPT topics on this website reflect the actual learning journey of our live instructor-led online sessions. We follow the published sequence and add current examples, tooling changes, and workflow insights whenever they make the training more useful.
This ChatGPT Course is evaluated by an experienced trainer and, independently, by an AI review of the code you produce with AI assistance. Working with a model is a skill in itself, and it is assessed as one.
The question our ChatGPT Developer Training answers is not whether you can get an answer out of a model. It is whether you can specify the task well, verify what comes back, and remain accountable for the code you ship.
Our experienced trainers evaluate your ability to:
State a coding task precisely enough that the answer can be judged.
Give context, constraints and examples instead of a vague request.
Read generated Python carefully rather than accepting it because it runs.
Test and reason about AI output before it enters your work.
Refine a prompt in response to what the model actually got wrong.
Apply ChatGPT Codex Training techniques inside a real development loop.
Call the OpenAI API from Python with sensible error and cost handling.
Keep confidential data, licensing and attribution in mind.
Deliver AI-assisted work you can explain line by line.
Our independent AI evaluation reviews the Python you produce to assess:
Verify that you understood the generated code, not merely pasted it.
Analyse whether the accepted answer actually solves the stated problem.
Evaluate adherence to Python standards across AI-assisted work.
Review readability, structure and consistency of the final program.
Identify plausible-looking mistakes carried over from model output.
Suggest simpler or cheaper implementations than the one accepted.
Recommend improvements based on current OpenAI Courses guidance.
Evaluate whether the work meets professional review expectations.
Human trainers evaluate how you direct, question and correct the model.
AI independently reviews the code that survived your review.
Together they build the habit that matters most: verify before you trust.
By combining Human Evaluation with Independent AI Evaluation across the ChatGPT Training, you will:
ChatGPT Developer Training from Wisen IT Solutions, Chennai runs live in two paces, with the hours spent building with the tools rather than watching a demonstration of them.
Total Learning Hours
35 - 40 HoursInstructor-led model sessionsPrompt and API practiceCodex workflow labsAI application project work
A workable pace for developers taking ChatGPT Training alongside their delivery week.
A quick, immersive route through ChatGPT Codex Training for learners free on weekdays.
Live Instructor-Led Training
Model & Prompt Learning
Hands-on OpenAI API Coding
Codex Workflow Lab Activities
Tool Calling Exercises
AI-Assisted Learning
Independent Code Evaluation
Doubt Clarification
Responsible AI Use Guidance
Both batches of this AI Tools Training cover the same syllabus. The Fast Track compresses the calendar for the ChatGPT Course; it removes no lab and no assessment.
Model behaviour cannot be predicted from a slide — it has to be prompted and observed. This ChatGPT Training runs on a 50:50 Lecture-Practical Ratio, so every prompting, tool-calling and evaluation idea is executed against the live API in the same session it is explained.
The ChatGPT Course has you build assistants, wire up tools and measure the output quality yourself, so the ChatGPT Developer Training ends with features you shipped rather than prompts you copied.
Understand how the model, context and cost actually behave.
Call the API and refine real prompts every session.
See how the same prompt shifts when one word changes.
Every technique is run against the API, not described.
Wire the model into an application you actually run.
Measure output quality instead of assuming it is fine.
Finish the ChatGPT Codex Training able to ship within a budget.
Every ChatGPT concept is followed by a prompt or integration you run yourself.Wisen IT Solutions, Chennai teaches these OpenAI courses on the belief that AI engineering is learned by iterating against a live model, not by collecting prompt templates.
This ChatGPT Training expects no machine-learning background. Prompt design, context handling, tool calls and reviewing generated code are all taught here, starting from your first prompt.
The ChatGPT Course is delivered live online, so every learner in the ChatGPT Developer Training batch reaches the ChatGPT Codex Training exercises from the same starting point.
Students & Graduates
Working Developers
Tech Leads & Reviewers
Professionals adopting AI-assisted development at work
You do not need model training, data science or any prior OpenAI Courses experience to take this ChatGPT Developer Training. Prompt engineering, context engineering, structured outputs, tool use and safe review practice are built up from a single conversation into a working development workflow.
All you need is basic Python, a browser and real work you want to accelerate.
We’ll take care of the rest!This ChatGPT Training covers both halves of the OpenAI toolkit: Codex as a coding partner in your editor, and the API as something you build products on with function calling, structured outputs and embeddings.
Among OpenAI Courses this ChatGPT Course stays firmly on the developer side — token budgets, retries, cost per call. The ChatGPT Codex Training sessions run against a real repository, not a scratch file.
ChatGPT Codex
Editor Integration
Codex Code Review
Custom Instructions
Custom GPTs
OpenAI Python SDK
Chat Completions
Streaming
Function Calling
Structured Outputs
Vision & Audio
Embeddings
Vector Stores
RAG Pipelines
Chunking Strategies
Conversation State
Token Budgeting
Rate Limits & Retries
API Key Handling
Moderation & Safety
Usage Monitoring
The ChatGPT Developer Training leaves you able to put a model behind a real feature — typed outputs, a cost you can predict, and a fallback when the call fails.
Code With Codex
Call Your Own Tools
Ground With RAG
Control the Cost
The best ChatGPT Course depends on your learning objective. If your goal is to use ChatGPT effectively in software development, the course should go beyond basic prompting and cover practical development workflows, AI-assisted coding, problem-solving, evaluation, and responsible use of AI.
Wisen's ChatGPT Course follows an AI-Paired Learning approach supported by industry-expert-developed course material and Independent AI Evaluation Chapter by Chapter. Learners are encouraged to Think with AI. Don't depend on AI.
There is no single AI course that is best for every learner. The right course depends on whether you want to learn AI concepts, use AI tools, build AI applications, or integrate AI into software development.
Wisen's ChatGPT training focuses on practical AI-assisted development and is designed for learners who want to work with ChatGPT as a development collaborator. Python Course is a prerequisite for Wisen's specialized courses, so learners should complete the Python Course before starting ChatGPT Training.
There is no objective single answer to which institute is the best for AI in India. Learners should evaluate an institute based on its curriculum, instructors, practical training approach, learning methodology, evaluation process, and how effectively it prepares learners for real-world AI-enabled development.
Wisen differentiates its training through AI-Paired Learning, industry-expert-developed course material, Independent AI Evaluation Chapter by Chapter, and the philosophy “Think with AI. Don't depend on AI.” Wisen provides instructor-led online training from Chennai for learners across India.
Becoming a ChatGPT developer requires more than learning how to use ChatGPT. You need a foundation in programming, software development, problem-solving, and the ability to work effectively with AI during development.
At Wisen, Python Course is a prerequisite for ChatGPT Developer Training. Learners can begin with the Python Course and then progress into ChatGPT-focused development workflows.
The training emphasizes AI-Paired Learning, where ChatGPT supports development while the developer remains responsible for understanding requirements, evaluating solutions, testing code, and making technical decisions.
Start with Python fundamentals and then learn how ChatGPT can support software development activities such as understanding code, exploring solutions, debugging, documentation, testing, and development planning.
Python is a prerequisite for Wisen's ChatGPT Developer Training, so learners should first complete the Python Course.
The learning approach then progresses from understanding AI tools to using ChatGPT as an active development partner while maintaining independent technical judgment.
Learning the basic features of ChatGPT is relatively straightforward. Becoming effective at using ChatGPT for software development requires deeper skills such as communicating requirements, providing context, evaluating responses, identifying errors, testing solutions, and knowing when not to rely on AI.
Wisen's ChatGPT Training develops these capabilities through AI-Paired Learning and encourages learners to Think with AI. Don't depend on AI.
Yes. Python Course is a prerequisite for ChatGPT Training at Wisen. Python provides the programming foundation required to understand and apply ChatGPT effectively in software development workflows.
Learners who have not completed Python should begin with the Python Course before progressing to ChatGPT Training.
ChatGPT Developer Training is suitable for developers, students, working professionals, technology learners, and career switchers who want to develop practical AI-assisted software development capabilities.
Because Python is a prerequisite, learners should first establish their Python foundation through the Python Course.
ChatGPT Training focuses on using ChatGPT effectively within software development workflows. Learners can develop skills in AI-assisted coding, problem-solving, code understanding, debugging support, documentation, development planning, and evaluating AI-generated solutions.
The training is designed around AI-Paired Learning, supported by industry-expert-developed course material and Independent AI Evaluation Chapter by Chapter.
ChatGPT Codex refers to OpenAI's coding-focused capabilities and tools designed to assist developers with software development tasks. Depending on the available workflow and tool configuration, developers can use Codex-related capabilities to work with code, understand repositories, implement changes, debug, and support development activities.
ChatGPT Codex Training can help learners understand how AI coding capabilities fit into modern development workflows while keeping the developer responsible for reviewing, testing, and validating the resulting work.
ChatGPT and other AI tools are changing software development, but effective development still requires understanding requirements, reasoning about solutions, architecture, testing, debugging, security, and technical decision-making.
Wisen's philosophy is “Think with AI. Don't depend on AI.” The objective is to help developers work effectively with AI while retaining the expertise required to understand, evaluate, and take responsibility for their development work.
Wisen's ChatGPT Course focuses on how learners can work *with* AI rather than simply learn how to use an AI chatbot.
The training combines AI-Paired Learning, industry-expert-developed course material, Independent AI Evaluation Chapter by Chapter, instructor guidance, and practical development workflows.
The underlying philosophy is simple: Think with AI. Don't depend on AI. AI accelerates thinking, understanding, and problem-solving, but it does not replace the learner's responsibility to understand and evaluate the work.
Yes. Wisen provides instructor-led online ChatGPT Training. Learners receive live instructor guidance while progressing through ChatGPT and AI-assisted development workflows.
The training combines instructor-led learning with AI-Paired Learning, expert-developed course material, and independent chapter-by-chapter evaluation.
Python Course is a prerequisite for ChatGPT Training and the other specialized courses in Wisen's training catalogue.
Corporate Training Clients
The software industry is evolving with AI—not disappearing. Wisen's AI-Enabled Learning helps you master modern technologies, build strong engineering fundamentals, and collaborate effectively with AI tools like ChatGPT and Claude. Develop the practical skills, critical thinking, and real-world experience needed to build software with confidence and remain valuable throughout your career.
Talk to our AI Learning Advisor
+91 900 31 31 555