CF

GOLANG A.I. Masterclass - Build 6 A.I. Projects with GO (Advanced Course)

25h 50m 31s
English
Paid

GOLANG A.I. Masterclass - Build 6 A.I. Projects with GO (Advanced Course) is a 6-lesson 25 hours 50 minutes self-paced course by Akhil Sharma. This course shows you how to build six real AI projects in Go.

Course facts

Lessons
6
Duration
25 hours 50 minutes
Level
All levels
Language
English
Updated
Instructor
Akhil Sharma
Price
Premium

This course shows you how to build six real AI projects in Go. You work through each project step by step. You learn how to plan the design, write clean code, and use AI tools in a clear and practical way.

You will build full projects that you can use in your portfolio. Each lesson stays focused on practice. You see why each part matters, and you gain skills you can use in your own apps.

AI systems now change fast, and engineers need to work with them. Go is fast, simple, and great for building services. This course helps you build skill through real tasks, not theory alone.

Course Content

You build six AI projects in Go. Each one teaches a new skill:

  • AI Discord bot with OpenAI and DALL·E
  • Bot that uses the Whisper API for speech to text
  • AI Telegram bot
  • Kubernetes AI helper that runs tasks from plain text
  • Terraform co‑pilot that helps you write configs
  • Terminal AI helper for daily CLI work

What You Get

  • 26 hours of clear video lessons
  • Design plans for each project
  • Clean and well‑commented Go code
  • Short and clear code walk‑throughs
  • Projects with real value for job or freelance work
  • Ideas you can turn into your own paid tools

Who teaches GOLANG A.I. Masterclass - Build 6 A.I. Projects with GO (Advanced Course)? Akhil Sharma

Akhil Sharma thumbnail

I am Akhil, CTO and entrepreneur. I am not a coach or a classical teacher. I am a developer and engineer: I create real products and show you how it’s done from the inside.

I don't pay much attention to theory — there are already plenty of other resources for that.

With me, you learn the most interesting:

  1. Creating portfolio projects that can be added to your resume
  2. Developing real products that can generate income
  3. Reinforcing knowledge through practice — so you genuinely understand how and where it is applied

All my experience comes from real work: projects that my company (Myrl Tech) has completed for leading global companies.

Our clients include: HP, 3M, Honda (North America), Bose, Adobe.

What lessons are included in GOLANG A.I. Masterclass - Build 6 A.I. Projects with GO (Advanced Course)?

This is a demo lesson (10:00 remaining)

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#1: PROJECT 1 - Build an A.I. Telegram bot with GO
All Course Lessons (6)
#Lesson TitleDurationAccess
1
PROJECT 1 - Build an A.I. Telegram bot with GO Demo
01:49:39
2
PROJECT 2 - A.I Powered Voice to Text software using Whisper API in GO
01:19:36
3
PROJECT 3 - Bringing Chat GPT and Dall-E to Discord (bot) with GO
05:39:33
4
PROJECT 4 - An A.I Kubernetes Assistant in GO
03:03:33
5
PROJECT 5 - An A.I Terraform Assistant in GO
04:16:24
6
PROJECT 6 - Advanced A.I. Assistant in your Terminal with GO
09:41:46
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Frequently asked questions

What are the prerequisites for this course?
Prospective students should have a solid understanding of the Go programming language and basic knowledge of AI concepts. Familiarity with tools like Kubernetes and Terraform can be beneficial but is not strictly necessary, as these concepts are covered within the projects.
What projects will I build during this course?
Throughout the course, you will build six AI projects: an AI Telegram bot, an AI-powered voice-to-text application using the Whisper API, a Discord bot integrating Chat GPT and DALL-E, a Kubernetes AI assistant, a Terraform AI assistant, and an advanced terminal AI helper. Each project is designed to teach specific skills in using AI tools with Go.
Who is the target audience for this course?
This course is aimed at developers with an interest in AI and the Go programming language who wish to enhance their skills by building practical AI projects. It is particularly useful for those looking to add AI-driven applications to their portfolio or seeking to apply AI solutions in their day-to-day work.
How does this course compare in depth to other AI courses?
Unlike many courses that focus on theoretical AI concepts, this course emphasizes practical, hands-on experience by guiding students through the development of six real-world AI projects in Go. This approach helps students understand how to apply AI tools in practical scenarios, making it ideal for those who learn best through doing.
What specific tools or platforms are used in this course?
The course utilizes various AI tools and platforms, including the OpenAI API for building bots, the Whisper API for voice-to-text conversion, Kubernetes for deploying AI assistants, and Terraform for configuration management. These tools are integrated into projects to demonstrate their practical application.
What topics are not covered in this course?
The course does not delve into the theoretical foundations of AI or machine learning algorithms. Instead, it focuses on applying existing AI tools and services within the Go programming environment to build functional applications. Students seeking in-depth discussions on AI theory may need to complement this course with theoretical studies.
What is the expected time commitment for this course?
The course includes 26 hours of video lessons, which are supplemented by design plans and code walk-throughs for each project. Students should also allocate additional time for hands-on practice and experimentation with the projects, making the overall time commitment variable depending on individual learning paces.