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Generative AI Course for Developers with Certifications

Generative AI Course for Developers

Become a super productive developer by leveraging the capabilities of Generative AI

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Gen AI for Developers

Prerequisites for Gen AI for Developers course

Prerequisites and Eligibility
  • Intermediate-level experience in programming
  • Familiarity with GitHub and version control systemsbasics.
  • A machine set up with Microsoft VSCode
  • A GitHub Copilot account (paid)
  • TabNine enterprise self-hosting (more details here)
  • AWS Builder account for AWS CodeWhisperer (free tier)
  • A ChatGPT Account (paid)
  • OpenAI API Account (paid)
Prerequisites
  • 450K+
    Career transformations
  • 250+
    Workshops every month
  • 100+
    Countries and counting

Gen AI for Developers Training Highlights

Course Highlights

20 Hours of Live Instructor-Led Sessions

Get Real-World Ready with 25 Industry Relevant Case Studies

Clarify Your Doubts with Live Q&A and Doubt-Resolution Sessions

Learn with Comprehensive Modules on Leading AI Tools

Acquire Expertise in Prompt Engineering with ChatGPT

IDE, Cursor.so and AWS CodeWhisperer for Code Security

Are you ready to accelerate your career in the ever-evolving technology landscape? With millions of developers worldwide, staying ahead of the curve and positioning yourself as a 10x Developer with expertise in AI-driven software development is a great advantage. This course, designed by KnowledgeHut, will supercharge you with cutting-edge AI skills and tools crucial for writing clean, efficient, and readable code confidently while focusing on more creative and complex work by automating repetitive tasks.

The course's focal point is mastering GitHub Copilot, an AI-powered code completion assistant used by millions of developers. Trained on billions of lines of code, this tool turns natural language prompts into coding suggestions across several languages. As a result, you can confidently write code much faster, focus on business logic over boilerplate, and build great software. You'll then further amplify your coding efficiency by becoming proficient in TabNine, a tool known for boosting coding speed by up to 50%. You'll learn to leverage its core features and enterprise capabilities, which in turn will streamline your development processes and increase productivity.

It doesn't stop there. You will harness GPT-3's potential to become an expert in prompt engineering. You'll learn to seamlessly integrate AI models into your automation tasks, thereby potentially saving hundreds of work hours. And since every reliable software developer takes code security seriously, this course will also introduce you to tools like AWS CodeWhisperer and Cursor.so, enabling you to enhance code security and protect your data.

Real-world application is a cornerstone of this course. Engage in hands-on case studies that bridge theory and practice, allowing you to implement your newfound skills in real-world scenarios. You'll emerge from this course ready to confidently tackle complex projects.

By enrolling in this course, you'll not merely expand your skill set; you'll position yourself as an invaluable asset for any organization in today's fiercely competitive tech industry. Take the leap and elevate your career in software development today.

WHY KNOWLEDGEHUT FOR Gen AI for Developers TRAINING

The KnowledgeHut Edge

Learn by Doing

We believe that the best way to acquire a skill is by practicing it and have adopted a project-based, immersive learning approach.

Real-World Focus

We ensure that your skills are relevant to the real world by including actual business case studies and exercises. Skill up and get productive from the get-go.

Industry Experts

Our trainers are experienced industry professionals with considerable experience, making them ideally placed to educate you on the best practices across industries.

Curriculum Designed by the Best

Our courses follow Microsoft’s prescribed curriculum and are taught by top-notch trainers with Software Development experience.

Continued Learning Support

We are committed to a delightful learning experience and have webinars, e-books, tutorials, articles, and interview questions to help you land your dream job.

Exclusive Post-Training Sessions

We will be with you until you feel ready. We extend six months of post-certification mentoring to overcome challenges in your career.

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Gen AI for Developers Course Curriculum

Curriculum

1. Introduction to 10x Software Development with AI

Learning Objectives:

Learn the fundamentals of 10x software development, explore the role of AI, and understand the benefits and risks. Dive into real-world case studies of AI in software development

Topics:

  • What is 10x Software Development?
  • Individual Productivity Variation in Software Development - A Study on Programming Productivity.
  • Roadmap to Becoming a Super-Efficient Software Developer
  • The Rise of AI in Software Development
  • Role of Generative AI in Achieving 10x Goals
  • Overview of Key AI Tools for Software Development
  • Benefits of Combining AI and Human Skills
  • Potential Risks of Using AI in Software Development
  • Case Study - Use Cases of Generative AI in Software Development

2. Introduction to GitHub Copilot

Learning Objectives:

Discover GitHub Copilot, set it up, and explore its functionalities while addressing privacy and efficiency concerns.

Topics:

  • What is GitHub Copilot?
  • The Copilot Ecosystem - Copilot Labs and Chat
  • What Can You Do with GitHub Copilot?
  • Signing Up, Installing, and Setting up Copilot Extensions in VSCode
  • Working with Code Suggestions - Basic Workflow
  • Privacy and Efficiency Concerns

3. GitHub Copilot in Practice

Learning Objectives:

Boost your developer productivity with GitHub Copilot through various case studies, covering coding, testing, debugging, and more.

Topics:

  • Using a Case Study-Based Approach to 10x Your Developer Productivity
  • Answering Coding Questions Using Chat
  • Case Study - Using Comments to Steer C-Pilot and Generate Code Suggestions and Quto-Completion.
  • Case Study - Code Translation - Converting Java Code to Python
  • Case Study - Code Refactoring - Adding Types and Code Cleanup
  • Case Study - Code Generation - Building a React Application
  • Case Study - Code Generation - Generating CSS Styles for a React Component
  • Case Study - Code Generation - Prototyping an API Using Node.js and Express
  • Case Study - Code Generation - Prototyping an API Using Spring Boot
  • Case Study - Query Generation - Writing SQL Queries
  • Case Study - Test Generation - Writing Unit Test Cases
  • Case Study - Test Generation - Writing E2E Test Cases
  • Case Study - Debugging - Debugging and Fixing Code
  • Case Study - Enhancing Code Readability and Simplifying Code
  • Case Study - Documentation - Generating Documentation for a Python Script
  • Using the Custom Brush

4. GitHub Copilot for DevOps

Learning Objectives:

See how GitHub Copilot can enhance DevOps workflows with case studies on Docker, Kubernetes, GitHub Actions, and AWS.

Topics:

  • Using GitHub Copilot for DevOps
  • Case Study - Building Dockerfiles and Compose Configurations
  • Case Study - Produce Kubernetes YAML Templates for Deploying Apps
  • Case Study - Develop GitHub Actions
  • Case Study - Write AWS CloudWatch Configuration to Collect Logs from AWS EC2

5. Introduction to TabNine AI Assistant for Enterprise

Learning Objectives:

See how GitHub Copilot can enhance DevOps workflows with case studies on Docker, Kubernetes, GitHub Actions, and AWS.

Topics:

  • Introduction to TabNine
  • Core Feature Set
  • Using TabNine for Automatic Code Generation
  • TabNine Enterprise - An Introduction
  • Public vs. Private Code
  • Setting Up TabNine Enterprise - Pricing and Hosting
  • Context-Aware Code Completions
  • Securely Connecting Your Codebases for Training the Model
  • Usage Conventions
  • Governance Considerations - IP, Data Privacy, Security
  • Case Study - Advanced TabNine Features

6. Prompt Engineering with ChatGPT

Learning Objectives:

Master prompt engineering with ChatGPT, including persona design, constraint definition, and various case studies, from code generation to error debugging.

Topics:

  • Introduction to ChatGPT
  • Introduction to Prompt Engineering
  • An Overview of Available Models (GPT-3.5 vs. GPT-4)
  • Designing a Prompt - The Process and Workflow
  • Defining Personas and Roles
  • Case Study: Generating RFPs for Software Projects.
  • Case Study: Learning Algorithms with ChatGPT.
  • Avoiding Prompt Injections Using Delimiters
  • Defining Constraints
  • Zero-Shot Learning
  • Few-Shot Learning.
  • Case Study: Code Translation and Generation
  • Case Study: Code Review and Analysis
  • Case Study: Pseudocode Generation from Code and Vice Versa
  • Case Study: Error message Decoding and Debugging.
  • Case Study: Code Refactoring Suggestions
  • Structured Responses - Generating JSON or YAML content.
  • Popular Prompt Patterns and Examples
  • Case Study: Generating New Application Ideas and Quick Prototyping

7. Using AWS CodeWhisperer

Learning Objectives:

Understand AWS CodeWhisperer, integrate it into your IDE, and use it for code completion and security enhancements with practical examples.

Topics:

  • What is AWS CodeWhisperer?
  • Integrating CodeWhisperer into IDEs such as VSCode
  • Code Completion Using CodeWhisperer Using Comments
  • Enhancing Code Security and Vulnerabilities
  • Case Study: Building a Flask API Using Code Whisperer
  • Case Study: Running a Security Scan

8. Introduction to Cursor.so, an AI-Powered IDE

Learning Objectives:

Learn about Cursor.so, its installation, capabilities, and configuration. Explore case studies, from rapid app development to code testing and debugging.

Topics:

  • Introduction to Cursor.so
  • Installing Cursor.so
  • Pricing and Capabilities
  • Signing Up for an OpenAI API Key and Configuring Cursor
  • Case Study: Building a React Application Quickly
  • Case Study: Generating Styles for an Existing React Component
  • Case Study: Debug Code
  • Case Study: Generate Test Cases
  • Case Study: Chat with Your Codebase

What You'll Learn in Gen AI Course for Developers

Learning Objectives
10x Software Development with Gen AI

Understand the principles and strategies behind 10x software development and its relevance in the tech industry.

GitHub Copilot

Gain expertise in GitHub Copilot, an AI-powered code completion assistant, to enhance coding efficiency and precision.

TabNine

Learn to use TabNine, a tool known for increasing coding speed by up to 50%, and streamline your development processes.

Prompt Engineering with ChatGPT

Harness ChatGPT and GPT-3's potential to become an expert in prompt engineering, saving hundreds of work hours.

Code Security

Explore tools like AWS CodeWhisperer and Cursor.so to improve code security and protect projects and data.


Increased Productivity

Optimize work processes, boost personal productivity, and become a standout contributor in your team.

Who Should Attend the Gen AI for Developers Course

Who This Course Is For
  • Emerging Tech Enthusiasts
  • Veteran Software Developers
  • Freelance Innovators
  • Tech Bloggers and Content Creators
  • Professionals transitioning into Tech
  • AI Aficionados
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Gen AI for Developers Training FAQs

Frequently Asked Questions
Gen AI for Developers Course

1. Who is this course designed for?

This course is designed for both aspiring and experienced software developers who want to supercharge their careers and become 10x developers by harnessing the power of generative AI. It's ideal for those who seek to stay at the forefront of the tech industry and are passionate about boosting coding efficiency, quality, and security using cutting-edge AI tools.

2. Why is this Gen AI for Developer Course relevant today?

In today's tech-driven landscape, staying competitive demands innovation and efficiency. Our 10x Software Development Course leverages AI and cutting-edge tools like GitHub Copilot, TabNine, ChatGPT, AWS CodeWhisperer, and Cursor.so to empower developers with the skills to code faster, more accurately, and securely. This course equips you with the expertise to harness AI's full potential, elevating your career and enabling you to meet the demands of the rapidly evolving software development industry.

3. What practical skills can I expect to acquire from this course?

Upon completing this course, you will gain a comprehensive set of practical skills, including:

  • Proficiency in leveraging AI tools like GitHub Copilot, TabNine, and ChatGPT to boost coding efficiency.
  • Expertise in prompt engineering, enabling you to harness AI models for various automation tasks.
  • Enhanced code security skills using AWS CodeWhisperer and Cursor.so.
  • Real-world application through hands-on case studies in software development.
  • Knowledge of DevOps practices with GitHub Copilot for streamlined development.
  • Experience in building Dockerfiles, Kubernetes YAML templates, and GitHub Actions.
  • Advanced features of TabNine for code generation.
  • Skills in generating documentation, translating code, debugging, and refactoring.
  • Secure code completion using CodeWhisperer.
  • Proficiency in using Cursor.so, including rapid application development, style generation, debugging, and test case generation.

4. What jobs will this course prepare me for?

Successful completion of this program would equip learners with the skills and knowledge to pursue the following job roles:

  • Software Developer: Become an adept developer, proficient in leveraging AI tools for efficient coding and problem-solving.
  • DevOps Engineer: Master DevOps practices with GitHub Copilot for streamlined development and code security.
  • AI Developer: Learn to integrate AI models like TabNine and ChatGPT into various automation tasks.
  • Cloud Engineer: Understand AWS CodeWhisperer for enhancing cloud-based code security and reliability.
  • AI Product Manager: Learn to oversee and manage AI-driven projects, ensuring their successful development and deployment.
  • Technical Lead: Acquire leadership skills in software development, guiding teams toward efficient and secure code practices.
  • Software Architect: Gain insights into AI-powered software design and architecture for cutting-edge solutions.
  • Quality Assurance Engineer: Enhance code testing and security skills for comprehensive quality control.
  • IT Consultant: Offer consulting services to organizations seeking to optimize their tech processes.

These diverse job opportunities reflect the course's broad scope and its relevance in various technology-driven roles across industries.

5. Can I work full-time while enrolled in this course?

Yes, we have planned our program in such a way that even if you have a full-time job, you would be able to attend classes and complete all the course requirements.

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