ChatGPT Complete Guide: OpenAI API, AI Tools, ChatGPT 4

Job-Ready Skills for the Real World

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Learn ChatGPT from Scratch, best practices, build solutions & apps with AI, we create app for Jira, Slack, Confluence
⏱ Length: 19.2 total hours
⭐ 4.36/5 rating
👥 11,883 students
🔄 October 2025 update

Add-On Information:

  • Course Overview
    • Dive deep into the revolutionary capabilities of ChatGPT, from foundational understanding to advanced application development.
    • Master the power of the OpenAI API to unlock programmatic access to cutting-edge AI models.
    • Explore practical strategies for leveraging ChatGPT to enhance productivity and automate complex tasks across various professional domains.
    • Gain hands-on experience in building robust applications that integrate AI into existing workflows, specifically targeting popular collaboration and project management tools.
    • Understand the principles of responsible AI implementation and ethical considerations for deploying AI-powered solutions.
    • This comprehensive program is designed for individuals seeking to become proficient AI practitioners and innovators, equipped to build the next generation of intelligent applications.
  • Requirements / Prerequisites
    • A foundational understanding of programming concepts, ideally with some exposure to object-oriented programming.
    • Familiarity with at least one programming language (Java is a strong recommendation due to the course’s focus on Spring Boot).
    • Basic knowledge of web application development principles.
    • A curious and proactive mindset eager to explore the frontiers of artificial intelligence.
    • Access to a computer with an internet connection and the ability to install necessary software development tools.
    • No prior experience with AI or machine learning is strictly required, as the course starts from the fundamentals.
  • Skills Covered / Tools Used
    • AI Model Interaction: Proficiently interact with advanced AI models through their respective APIs.
    • API Integration: Seamlessly integrate external APIs (OpenAI, Slack, Jira) into custom applications.
    • Web Application Development: Architect and build scalable web applications using the Java Spring Boot framework.
    • Backend Development: Design and implement robust backend logic for AI-powered services.
    • AI-Driven Automation: Develop strategies and implement solutions for automating project management, knowledge sharing, and communication tasks.
    • System Design: Understand how to design systems that leverage AI for enhanced functionality and efficiency.
    • Problem Solving with AI: Apply AI techniques to solve real-world business challenges in project governance and knowledge management.
    • Development Environment Setup: Configure and utilize essential development tools and IDEs.
    • Version Control: Basic understanding of version control systems like Git (implied for collaborative development).
    • Cloud Services: Awareness of how cloud-based APIs (like Jira Software Cloud) function.
    • Prompt Engineering Principles: Develop effective strategies for crafting prompts that elicit desired AI responses.
  • Benefits / Outcomes
    • Become a valuable asset in the job market by acquiring in-demand AI development skills.
    • Empower yourself to build innovative AI solutions that streamline operations and drive business growth.
    • Gain the confidence to tackle complex project management and knowledge dissemination challenges using AI.
    • Develop a portfolio of practical AI-powered applications demonstrating your technical prowess.
    • Enhance your understanding of how AI can revolutionize collaborative work environments.
    • Acquire the ability to design and implement intelligent systems that enhance decision-making and productivity.
    • Be at the forefront of technological advancement, contributing to the future of AI integration in business.
    • Learn to transform raw data and concepts into actionable AI-driven insights and functionalities.
    • Develop a strong foundation for pursuing further specialization in AI engineering or related fields.
  • PROS
    • Comprehensive Curriculum: Covers a broad spectrum from basic AI concepts to advanced application building.
    • Practical, Project-Based Learning: Focuses on building real-world applications for tangible results.
    • In-Demand Technologies: Utilizes popular and highly sought-after tools like ChatGPT, OpenAI API, and Spring Boot.
    • Modern and Relevant Content: Updated regularly to reflect the latest advancements in AI.
    • High Student Engagement & Rating: Indicates a well-received and effective learning experience.
  • CONS
    • Potential for Steep Learning Curve: For absolute beginners in programming or web development, the depth of content might present a challenge.
Learning Tracks: English,Development,Software Engineering

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