Best Online Courses in Generative AI

Explore the Best Online Courses for Generative AI
Best Online Courses in Generative AI

In this present generation, it is basic to stay up to date on the most recent data and aptitudes associated with generative AI as the demand for talented employees rises. Here is the best comprehensive selection of courses that helps beginner-level members and experienced professionals seeking to investigate artistic possibilities and practical applications of AI innovation.

 The article will prepare you with the vision to select from the best 5 list of Generative AI courses to help you make, enhance, and manage what lies forward. Moreover, these AI Courses help you with Prompt Engineering and its AI applications and its utilize cases.

Why Opt for Generative AI Courses?

Choosing courses in Generative AI can offer various gifts to those curious about AI and its applications. Generative AI has a tremendous range of applications in store. Generative AI deals with making models that can produce content. Here is a quick mention of a few of the numerous reasons why you might pick generative AI courses, Career opportunities, Diverse applications, Innovation and creativity, and Problem-solving. Let’s discuss the best online courses in Generative AI.

Best Online Courses in Generative AI

Here is the list of the best online courses in Generative AI that can help you enhance your professional skills.

Generative AI Learning Path

Google Cloud administers this generative AI learning course, which consists of ten exercises and a set of content that consists of various products and new developments in generative AI. The Following is the program breakdown of the large language model regime and the generation and dispatching of generative AI solutions.

Duration: 1 day per activity (10 days); Self-paced

Best Suited For: Beginners and Professionals

Price: Free

Click here for the Generative AI course

Large Language Models: Application through Production

This course is overseen by Databricks, a company that provides online course management administrations for various organizations. Developers, data scientists, and engineers can construct LLM-centric applications utilizing the most prevalent frameworks. At the end of this course, the learner will have created a total, production-ready LLM workflow.

Duration: 6 weeks (4–10 hours per week); Self-paced

Best Suited For: Beginners of Intermediate level

Price: DataBricks is providing different plans.

Audit Track: Free; limited course access; expires in 30 days

Verified Track: ₹8,233; Gain a certificate; optional upgrade available; Full access to course materials and video lectures

Click here for the large Language Models

Generative AI – From Huge Picture to Idea to Implementation

This course is accessible at Udemy and was created by Martin Musial, a data scientist at IBM. It covers Generative AI in a way that is different from the regular coursework. It focuses on how one can ideate a modern Generative AI model in individual application areas.

The course objective is to give the learners a circular understanding of Gen AI and allow devices to begin their new Gen AI ventures effectively. At the conclusion, you also get a shareable certificate of completion.

Source: Udemy

Duration: 11 sections, 39 lectures, 6h 1m, Self-paced

Best Suited For: Potential business people, Tech-enthusiasts, Visionaries

Price: ₹ 2699 ( Discounts available)

Click here to enroll in the Generative AI course

Getting Started with Generative AI API Specialization

This is a free enrollment course on presentation to OpenAI APIs Python programming. It is conducted by master instructors who guide the learners through the complexities of Generative AI.

On the one hand, people learn how to generate content to contribute to the development of the ChatGPT API chatbot and how to produce and manage images. They also receive a certificate in this field from Codio. They can share the certificate on social media and in their execution audit or include it in their LinkedIn profile, resume, or CV.

Getting Begun with Generative AI API’ is the first of the three-course specialization arrangements. The following two courses follow it:

Images with DALL-E (10 hours)

Generating code with ChatGPT API (9 hours)

Duration: 1 month at 10 hours a week

Best Suited For: Beginner level

Price: After selecting in the course:

7-day free trial (continue or unsubscribe)

Paying for a Course Certificate

Subscribing to Coursera Plus

Click here to investigate this Generative AI course.

Deep Generative Models

This course, created by Digital Tech Institute, is accessible at Udemy. In it, students learn generative AI with steady dissemination, GANs, VAEs, etc., utilizing Colab and Python.

This course helps candidates learn Deep Generative Models, analyze how machines produce art, and demonstrate execution through deep learning systems like PyTorch. One will learn how these models work and how to utilize them to create pictures and use them in an assortment of application areas, including design, art, advertising, and more.

Source: Udemy

Duration: 7 sections, 52 lectures, 4h 20m; Self-paced

Best Suited For: Tech enthusiasts, Designers, Machine learning experts

Price: ₹799 (Discounts available)

Click here for the Deep Generative Models

Generative AI: Prompt Engineering Basics

This course is offered by IBM and is intended for everybody, including experts, executives, students, and enthusiasts interested in leveraging effective prompt engineering strategies to unlock the full potential of generative artificial intelligence (AI) devices like ChatGPT.

Prompt engineering is a preparation to effectively guide generative AI models and control their yield to deliver desired results. In this course, you will learn the procedures, approaches, and best practices for composing successful prompts.

Duration: 7 hours

Best Suited For: Beginner-level and machine-learning experts

Price: Free

Click here for the Prompt Engineering Basics

Generative AI Primer

ChatGPT and other large language models are going to be more important in your life and business than your smartphone if you utilize them correctly. ChatGPT can guide your child in math, create a supper arrange and formulas, write program applications for your business, and help you make strides in your cybersecurity, and that is just in the first hour that you utilize it.

The course will give you a preliminary that covers what Generative AI is, essential prompt engineering, and how you can improve with Generative AI. You will learn the Achieve system for utilizing Generative AI courses to improve in a way that increases and amplifies human inventiveness and issue-solving rather than supplanting individuals. You will learn how Generative AI is going to supplant GUI and programming as our prevailing interface for computing and why you will be using it each day at work.

Duration: 2 hours

Best Suited For: Beginner-level and machine-learning experts

Price: ₹799

Click here for the Generative AI Primer


1. What is Generative AI?


Generative artificial intelligence is artificial intelligence capable of generating text, images, videos, or other data using generative models, often in response to prompts. Generative AI models learn the patterns and structure of their input training data and then generate new data that has similar characteristics.

2. What are the benefits of Generative AI?


Generative AI excels in data analysis. So, it is precious for companies working with large datasets. It can identify trends, patterns, and anomalies. Such data enables data-driven decision-making and a deeper understanding of operations, customer behavior, and market dynamics.

3. Why should one learn Generative AI?


Generative AI enhances decision-making processes by providing valuable insights, augmenting data analysis, and enabling scenario simulations. By generating diverse and realistic options, generative AI helps decision-makers explore alternative strategies, assess potential outcomes, and make informed choices.

4. What are the career options in Generative AI?


Generative AI has a wide range of applications, including image generation, video synthesis, text generation, music composition, and even drug discovery. It is used in industries such as fashion, gaming, healthcare, and entertainment to create new content, prototypes, and solutions.

5. How long does it take to become a GenAI Engineer?


The time it takes to become an AI engineer depends on several factors, such as your current level of knowledge, experience, and the learning path you choose. However, it may take 6 to 12 months to gain the necessary skills and knowledge.

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