12 Best Generative AI Courses for Skill Development in 2025
Did someone tell you a surprising fact? Professionals worldwide require reskilling due to AI-driven shifts in job roles. Both employees who seek career transition and organizations that want to drive better outcomes are investing in training their teams. This growing demand has sparked a surge in Generative AI courses worldwide, offering something unique for every professional, job role, and industry.
The rise of Generative AI tools like ChatGPT, DALL·E, Midjourney, and Gemini has created opportunities for professionals to sharpen their skills, maximize their creativity, and be future-ready as their roles and responsibilities grow. On the other hand, companies are focusing on improving productivity and driving the best outcomes by upskilling their employees using LLMs and AI tools.
If your question is about how Generative AI is shaping industries, employment, and learning? It’s transforming companies via automation, modifying jobs through enhancement, and changing education through tailored learning. The market for Generative AI in Learning and Development (L&D) is expected to hit $255.8 billion by 2033, with a CAGR of 42.5% from 2024 to 2033. In this changing market, North America holds a 31.9% share
The primary sectors, Media, education, IT, design, and enterprise automation, are leaders in adopting Generative AI. What matters is that you know how to use what you learn from opting for gen AI courses.
Still, professionals struggle with where to start. This article explores 12 of the best Generative AI courses that can help you build job-ready skills and stay ahead of trends.
Let’s explore the blog!
What is Generative AI?
Artificial Intelligence refers to the use of algorithms to perform tasks that require human intelligence, and critically portrays a single idea. But it also has subfields. Traditional AI can analyze and predict data and can make decisions based on existing information. On the other hand, Generative AI, as a type of AI, offers something unique and is best suited for creative tasks.
From a definition perspective, Gen AI is a branch of Artificial Intelligence that focuses on content creation, such as images, text, code, and more.
How does it work? It uses large datasets and learns from them to produce original outputs similar to human creativity, i.e., from creating text to generating code for a mobile app, or from an image to high-definition videos, in seconds.
For example, Generative AI tools like OpenAI’s ChatGPT can write a script for your YouTube shorts, generate text for your brand’s social media promotion, or write a poem. The tools like DALL·E or Midjourney can help you create stunning images using simple prompts, and Claude can help you with writing and reasoning tasks.
Some other examples of the best Generative AI tools are DeepSeek, Perplexity, and MetaAI. These tools use advanced AI models, including Large Language Models (LLMs) and diffusion models, to understand context, style, and intent before generating new results.
Key Applications of Generative AI
Generative AI has wide-ranging applicability, and it supports any field or use case that depends on human creativity, from text generation all the way to large-scale business automation.
Here are some of its key applications:
- Text Generation: One of Gen AI’s primary uses is creating written content. Tools like JasperAI, ChatGPT, and Claude are some of the examples of tools that help in creating blogs, marketing copies, emails, and reports.
- Image Creation: DALL·E, Midjourney, Stable Diffusion, etc, are Generative AI tools that allow users to create graphics, images, designs, and artistic compositions.
- Code Generation: Gen AI is as helpful as an intelligent pair programmer. The developers can create fully functional code using tools like GitHub Copilot, Replit AI, and Amazon CodeWhisperer.
- Audio and Video Creation: Multimodal creation is reshaping the entertainment and creative industry. Runway ML, Suno AI, and Synthesia offer a myriad of features for music creation, video editing, text-to-video creation, and more.
- Business Automation: Repetitive administrative tasks often create hurdles for organizations; Generative AI steps in to automate them, handling everything from report generation and summaries to meeting note scribing.
- Customer Services: AI chatbot development is key to streamlining and enhancing customer service operations. For example, AI assistants to provide instant responses, collect data for analysis, and create personalized recommendations for customers.
- Drug Discovery & Medical Imaging: Gen AI tools help with drug discovery and medical imaging for better patient care. For example, AlphaFold, AtomNet, and BioNeM.
Which industries are benefiting most from Generative AI right now? Software Development, Content Marketing, Education, Designing, Media & Entertainment, Healthcare, Manufacturing, and more; all of these industries are adopting AI due to its benefits.
How Does Generative AI Work?
The best way to understand something is to know how it works. If you have an understanding of the working of Generative AI, it will help you define the use cases and choose the best Generative AI courses for career growth.
First of all, behind the working of Gen AI, the credit goes to the technologies like Neural Network, Machine Learning, Deep Learning, Generative Adversarial Networks, aka GANs, LLMs, Transformers, and Diffusion Models.
Thus, from the working perspective, it learns from the data and, based on that knowledge, Generative AI creates something new, such as text, images, code, music, and video.
It utilizes Machine Learning (ML) for recognizing patterns and learning from examples; on the other hand, Deep Learning (DL) helps Generative AI tools to process complex information such as language, images, or code logic. At its core, there is an ANN (Artificial Neural Network) that mimics information processing as the human brain.
Let’s take the example of OpenAI’s ChatGPT. It uses large language models (LLMs) built on transformer architectures, which understand and generate human-like text.
Each of these technologies plays a unique role in enabling AI to understand, learn, and generate realistic outputs. For instance, GANs create new images through a “contest” between two neural networks, while diffusion models refine random noise into detailed visuals, as seen in tools like DALL·E and Midjourney.
Why You Should Learn Generative AI in 2025
The year 2025 is transformative for all professionals, as with the introduction of innovative technologies, doors for new opportunities are unlocked where AI-based job skills are in demand.
The global generative AI market is expected to be USD 109.37 billion by 2030, growing at a CAGR of 37.6% (2025-2030). This not only means the market progress, but it will also create more jobs for professionals with a Generative AI certification.
Image credit: Indeed
According to a report published (Indeed AI, Hiring Lab), “AI is rewiring the DNA of jobs”. Over 26% of all jobs posted before this year are highly transformable by Gen AI, and 46% of job skills require hybrid transformation. Simplifying, it balances between automation and human expertise and oversight.
The job roles are dynamically inclining towards innovation in work, and Generative AI offers a multitude of benefits, so enrolling in Generative AI courses is not optional; it is essential in 2025. Here are the top reasons why you should learn Gen AI from an online courses platform.
- High Career Demand
AI-skilled professionals are in demand across industries. According to a report published by the World Economic Forum, by 2030, there will be 170 million new jobs created, and 14% of the current employment will be influenced by AI and automation technology expertise. The top AI-related roles include Machine Learning Engineer, Prompt Engineer, AI/ML Research Scientist, AI Product Manager, and others.
- Attractive Salary Potential
Learning through Generative AI courses will not only lead you to a lucrative role, but it will also help you grow monetarily. According to a survey, in the USA, the average salary range for an AI-based role is $120k-$200k+ annually, and for the senior position, it can go up to $300k+.
- Relevance Across Industries
Generative AI is not only for technical professionals; it is available for all and has relevance across all industries- generative AI for everyone. Tools like ChatGPT, DALL·E, Jasper AI, Gemini, DeepSeek, and others are beneficial for all industries, from medical to software development. Even if you want to switch your industry, by enrolling and learning through a Generative AI course, you can easily do that.
- Future Proof Skillset
AI Technologies are dynamically evolving, and in the future, there will be a need for experts who have an in-depth understanding of AI to make the most of it for their organization. Generative AI certification can help you learn new skills, grab an interesting job role, and be future-ready.
- Improved Productivity
Generative AI is not for replacing roles; it is for assisting people, saving time in performing repetitive and complex tasks, and improving decision-making ability. Overall, it will help you improve productivity.
12 Best Generative AI Courses for Beginners (2025 Edition)
So, here comes the most-awaited section of this blog where you’ll explore the best 12 generative AI courses for beginners. Each course offers a unique learning experience and will add value to your profile. From the available list of top courses in 2025, you can choose any one of them that suits your business or job needs. Most of these courses are affordable, so anyone can join them and learn at their convenience.
Let’s start!
#1. IBM – Generative AI: Introduction and Applications
Image credit: Coursera
This is one of the best courses available for beginners, powered by IBM on the Coursera platform. In simple terms, this course aims to help learners (from students to professionals) gain a clear understanding of what Generative AI is and how it works in real life. When attending this gen AI course, you’ll learn how to generate text, images, videos, and code, including exposure to popular tools like GPT, DALL·E, Stable Diffusion, and Synthesia.
Key Features:
- Simple explanation of Generative AI concepts and tools by industry experts
- Real examples from industries like tech, design, education, and healthcare.
- Focus on how companies use Generative AI for creativity and automation
- Hands-on project and shareable career certificate
What you will learn:
- Working difference between traditional AI vs. Generative AI
- How to use Gen AI tools like ChatGPT, DALL·E, Synthesia, and others
- How to apply Generative AI for diverse industries’ use cases.
- Great exposure to technologies such as ML, DL, AI product strategy, etc.
| Platform | Coursera |
| Level | Beginner |
| Duration | 8 hrs. |
| Instructor | Rav Ahuja |
| Free/Paid | Free/ Paid for Certificate |
| Ratings | 4.6/5 |
#2.Coursera – Generative AI for Everyone (by Andrew Ng)
The USP of this course is its instructor, Andrew Ng, who is known as an AI pioneer and founder of DeepLearning AI. Generative AI for everyone, powered by DeepLearning AI, is one of the courses to take your first step in learning how gen AI works and how it can help you in day-to-day work, applying fundamentals of prompt engineering. Through well-designed hands-on exercises and projects, you’ll learn real-time applications of Generative AI.
Key Features:
- Easy understanding of the concept, its potential, and its limitations
- Hands-on projects and exercises
- One of the best Gen AI courses for beginners
- Learning through common use cases and real-world applications
What you will learn:
- What is Gen AI and how it works
- Fundamentals of prompt engineering
- Lifecycle management of a generative AI project
- Skills such as AI, responsible AI, business process automation, and more.
| Platform | Coursera |
| Level | Beginner |
| Duration | 5 hrs. |
| Instructor | Andrew Ng |
| Free/Paid | Free/ Paid for Certificate |
| Ratings | 4.8/5 |
#3. Google – Introduction to Generative AI
Image Credit : Coursera
The Introduction to Generative AI course is one of the shortest courses available on the Coursera platform that will take you through the essentials and basics of Gen AI in the most interesting way. This course is powered and instructed by Google Cloud Training and is designed for beginners to learn what generative AI is, how it works, the basics of generative AI models, and how applications work.
Key Features:
- Learning from industry experts
- Foundational understanding of Gen AI
- Upskilling-oriented course
- Hands-on project and Gen AI certification
What you will learn:
- Basics of how generative AI works
- Role of Machine Learning and LLMs
- How it differs from conventional Machine Learning methods
- Working with Google tools to develop Gen AI apps
| Platform | Coursera |
| Level | Beginner |
| Duration | 1 hr. |
| Instructor | Google Cloud Training |
| Free/Paid | Free/ Paid for Certificate |
| Ratings | 4.7/5 |
#4. DeepLearning.AI – Generative AI with LLMs (with AWS)
Image Credit: Deeplearning.AI
This is one of the best Gen AI courses available for data scientists, prompt engineers, machine learning engineers, and intermediate learners, available on the DeepLearning AI platform in partnership with AWS. The course covers in detail how LLMs work and how you can deploy them in real-world applications.
Key Features:
- Co-developed with AWS
- Deeply covers various aspects of LLMs and Generative AI, including
- The best Gen AI course for intermediate learners
- State-of-the-art training through industry experts on tools and deployment
What you will learn:
- Foundational knowledge, practical skills, and functional understanding of Gen AI
- Real-world use cases understanding through research-based examples.
- LLM-based Generative AI development lifecycle management
- AWS AI tools for creating Gen AI applications
| Platform | Coursera, DeepLearning AI |
| Level | Intermediate |
| Duration | 20+ hrs. |
| Instructors | Chris Fregly, Antje Barth, Shelbee Eigenbrode, Mike Chambers |
| Free/Paid | Free/ Paid for Certificate ($49/ month at Coursera) |
| Ratings | 4.8/5 |
#5. Purdue University- Applied Generative AI Specialization
This is one of the top courses available on the SimpliLearn platform(in collaboration with Microsoft) and a multi-week program designed in collaboration with Purdue University for career transition and to boost professional growth. The course is about developing AI-powered applications, using industry-relevant tools, and deeply covers concepts like GANs, VAEs, LLMs, RAG, and others.
Key Features:
- Job assistance by Simplilearn
- Comprehensive syllabus covering applied Generative AI, Agentic Frameworks, and AI literacy
- One-to-one mentoring sessions by experts
- Hands-on experience with over 7 real-world projects
What you will learn:
- Gen AI and Agentic AI app development
- Tools such as Copilot, Langchain, Hugging Face, Azure AI Studio, OpenAI, and others.
- LLM fine-tuning, prompt engineering, AI governance, and more
- Electives such as Microsoft Azure fundamentals and Microsoft Copilot
| Platform | Simplilearn |
| Level | Advanced |
| Duration | 16 Weeks(8-10 hrs/ week) |
| Instructors | Purdue faculty and staff |
| Free/Paid | Paid |
| Ratings | 4.5/5 |
#6. Udemy- Generative AI for Beginners
Image Credit: Udemy
Want to start your Generative AI Journey? Udemy’s course is designed for learners who want to understand what Generative AI is and how it works for daily life and business use cases. The course explains the core concepts in a simple way. The participants will learn about applying AI tools such as ChatGPT, prompt engineering, GenAI chatbot development, and more.
Key Features:
- Practical sessions with real-world examples
- Training from industry experts
- Lifetime access to the course material and recording
- Ideal for everyone and hands-on learning
What you will learn:
- Comprehensive understanding of GenAI
- Understanding of LLMs, embeddings, prompt engineering, and fine-tuning
- Chatbot Development
- Expert tips to stay relevant in the post-GenAI world
| Platform | Udemy |
| Level | Beginners |
| Duration | 3~4 hrs. |
| Instructors | Industry Experts |
| Free/Paid | Affordable price |
| Ratings | 4.5/5 |
#7. Nvidia- Generative AI Explained
What is the course about? NVIDIA’s course helps you understand how neural networks create new content. It gives hands-on experience with real AI models and teaches you the science behind Generative AI in simple words.
Key features:
- Interactive labs using NVIDIA tools.
- Real demonstrations of image and text generation.
- Well-suited course for non-coders
- Self-paced, free program from a trusted global leader.
What you will learn:
- How neural networks and deep learning power AI.
- Basics of diffusion models and transformers.
- How to build small Generative AI projects.
- Using NVIDIA resources for AI learning and testing.
| Platform | Nvidia Deep Learning |
| Level | Beginner/ Technical |
| Duration | 2 hrs. |
| Instructors | Nvidia Experts |
| Free/Paid | Free |
| Ratings | 4.5/5 |
#8. Datacamp- Generative AI Concepts
Image Credit: Datacamp
This course is from one of the most popular online course platforms, Datacamp, and focuses on responsibly using generative AI for society. The participants will go through all the aspects of how generative AI models are developed, legal and ethical considerations, and how to utilize GenAI tools responsibly.
Key Features:
- Easy learning path
- No technical prerequisite needed
- Easy explanation with real examples
- Carefully designed course content from experts
What you will learn:
- Fundamentals of GenAI and applications across industries
- Exposure to the tools with practicals
- Generative AI model development
- How to use GenAI ethically and legally
| Platform | Datacamp |
| Level | Beginner |
| Duration | 2 hrs. |
| Instructors | Daniel Tedesco, Amy Peterson, James Chapman |
| Free/Paid | Free |
| Ratings | 4.8/5 |
#9. Generative AI for Beginners
The tech giant Microsoft has designed this course and made it available on their platform- Microsoft Learn. This course talks about the fundamentals of developing Generative AI applications through video lectures from Microsoft Cloud Advocates who have great experience in applying AI for business use cases. It starts with the basics and will take you to the AI agents and fine-tuning LLMs.
Key Features:
- Small-sized videos with real AI examples
- Comprehensive course structure
- Practical resources and code from the GitHub repository
- Video-based show series makes learning smooth
What you will learn:
- Basics of Generative AI and Large Language Models (LLMs)
- Mastering prompt engineering
- AI application development
- RAG, Vector databases, AI agents basics, and LLM tuning
| Platform | Microsoft Learn |
| Level | Beginner |
| Duration | 2-3 hrs |
| Instructors | Microsoft Experts |
| Free/Paid | Free |
| Ratings | 4.5/5 |
#10. Udacity- Generative AI
This course from Udacity offers a practical, hands-on learning experience in generative AI. The course starts with foundational topics like what generative AI is and how it connects with traditional AI. Then it moves to more advanced areas: large language models (LLMs), image-generation models, adaptation of pre-trained models, and build-out of full generative AI solutions (with vector databases, retrieval-augmented generation, and so on).
Key Features:
- Hands-on projects using real tools like PyTorch and Hugging Face
- Covers text and image generation models
- Includes lessons on retrieval-augmented generation (RAG)
- Focuses on ethical use and real-world applications
What You Will Learn:
- Basics of large language and diffusion models
- Fine-tuning pre-trained models for custom use
- Building simple generative AI apps
- Understanding deployment and responsible AI use
| Platform | Udacity |
| Level | Intermediate |
| Duration | 30+ hrs. |
| Instructors | Experts from Fortune 500 and Global 2000 companies |
| Free/Paid | Paid |
| Ratings | 4.9/5 |
#11. LinkedIn Learning- What is Generative AI
Image Credit: LinkedIn Learning
What Generative AI is is one of the best courses available on the LinkedIn learning platform that helps participants understand what generative AI really means and how it’s changing the way people work. It explains the basics in simple terms, such as the importance of Gen AI, how to create content using popular tools, natural language models, GANs, the future of AI, ethical applications, and more.
Key Features:
- Best for professionals from diverse industries
- Simple and easy explanation by the instructor
- 360-degree focus on Gen AI fundamentals
- Suitable for beginners
What you will learn:
- Basics of Gen AI and what’s new
- Differentiate between Gen AI and traditional AI
- Working on tools and content creation
- Working with Gen AI and its ethical and responsible use
| Platform | LinkedIn Learning |
| Level | Beginner |
| Duration | 1h 3m |
| Instructors | Pinar Seyhan Demirdag |
| Free/Paid | Free |
| Ratings | 4.7/5 |
#12. MIT- Applied Generative AI for Digital Transformation
This course by MIT Professional Education talks about the complexities of Gen AI and provides basic to advanced knowledge to the participants to drive digital transformation using Gen AI. The Applied Generative AI for digital transformation course is designed for professionals like senior leaders, technology leaders, innovation managers, and business owners.
Key Features:
- Specifically designed course for leaders and managers
- Covers GenAI aspects in a wide spectrum
- Impactful learning experience through hands-on
- Course delivery from top MIT faculty and industry experts
What you will learn:
- Foundation of Generative AI
- Business applications, industry use cases, and Gen AI tools
- Prompt engineering, ethical, and responsible use of AI
- Planned integration of the Gen AI tool in organizations
| Platform | MIT Professional Education |
| Level | Professional/ Advanced |
| Duration | 8 weeks(8-10 hrs per week) |
| Instructors | MIT Professors and industry experts |
| Free/Paid | Paid |
| Ratings | 4.7/5 |
Read Also: Best Machine Learning Courses
How to Choose the Right Generative AI Course
I hope you’ve got the suitable information about the top-12 Generative AI courses you’re looking for. Although we’ve talked a lot about the courses, what if you need to search for courses apart from these? Or might you have a question – how to choose the right one? Thus, some steps can save you time to look for the perfect course, such as the Nvidia Generative AI course or any other.
Here are the steps!
- Check Instructor Credibility
Instead of participating in a random course, check the instructor’s credibility and their industry experience. Their real experience will help you learn effectively.
- Look for Hands-on Projects
On a professional level, just theory will not help, so choose the Gen AI course that’ll let you learn through hands-on projects and understand the concept practically.
- Read Reviews
Reviews matter a lot; thus, check what participants say about the course quality, teaching style, and support.
- Ensure Certification and Career Relevance
Certification helps a lot in career transition and growth, so choose a course that allows you to pursue certification, and it must be recognized by the industry.
- Review Course Content
Before you start learning or enrolling in the course, ensure it suits your learning needs and job profile. A Generative AI course must cover AI fundamentals and topics like LLMs, image generation, prompt engineering, and more.
- Check the Difficulty Level
Be sure that the course aligns with your level of learning. Suppose you are just about to start with Gen AI, then it must be a beginner-level course, or if you know the basics, then you can move to intermediate-level courses.
- Look for Updated Content
Lots of things have changed in 2025, so attending a course that was launched in the previous year will not help you until it has updated course content aligning with the current learning and technology needs.
- Post-Training Support
Although you can learn at your own pace, who will help you to solve it if there is doubt? Therefore, when choosing the course, look for real-time support from mentors. Also, keep community support in mind, which’ll help you connect with more professionals while learning and have some intellectual conversations to make your learning better.
Key Benefits of Learning Generative AI for Your Career
Learning Generative AI in 2025 is beneficial in all terms, especially for students to start their careers in this evolving field, and professionals who are seeking career growth. There are reports from authentic agencies and organizations that Gen AI can help professionals to take a big leap in their careers in terms of financial and intellectual growth.
- Improved Employability
Based on a report published by a talent portal (Secondtalent), AI talent is in demand, but for 1.6 million open positions, only 518K qualified professionals are available. Learning generative AI can help you grab big opportunities and improve your employability.
- Boost Creativity & Productivity
If you know how to use Gen AI tools in the right and responsible way, you can win half of the battle when performing complex tasks. Whether you’re a digital marketer or senior manager, it can help you boost productivity and creativity.
- Personalized Upskilling
According to a Harvard Business Review report, generative AI-based learning systems have improved learning personalization by 32%. The AI-powered upskilling systems can identify the gap and provide a personalized learning path. You only need to learn how to utilize these.
- Enhanced Strategic Thinking and Problem Solving
Using AI, you can analyze large data sets and gain deep insights to make strategic business decisions. Additionally, with Gen AI tools, it is easy to simulate scenario- “What-if” and with appropriate training, you can forecast trends and improve your problem-solving skills.
- Cross-Industry Mobility
Diverse industries are adopting Gen AI, i.e., from healthcare to finance and from education to entertainment. It creates a versatile career path and helps professionals move from one industry to another easily.
Top Generative AI Jobs in 2025
Here are some top generative AI jobs that are in demand in 2025:
- AI Engineer
A generative AI engineer develops and deploys AI models according to use cases. In terms of salary, the average salary of an AI engineer ranges between $180,000 $300,000.
- Machine Learning Developer
Machine learning developers are experts who develop ML algorithms, training models, and LLMs, fine-tune them, and integrate them into applications. The role of AI/Machine Learning engineer has seen a rise of 41.8% in Q1 2025.
- Prompt Engineer
Prompt engineer is one of the fastest-growing job roles in the AI landscape and is expected to grow at a CAGR of 32.8%, 2024- 2030. The average salary range for this job role is $90,000-$150,000+.
- Data Scientist
The next most desired and growing job role is that of a data scientist, and you can consider it one of the core roles for implementing AI. This role is projected to grow by 36% from 2023 to 2033. The average salary range is $120,000 – $200,000 approximately.
- AI Product Manager
AI product managers are responsible for overseeing the building and deployment of AI-based products, covering ethical aspects. The average earning in the US is around $133,600, and for senior positions it can go up to $200,000+ [Research[dot]com].
- AI Researcher
There is a massive demand for AI researchers to drive something unique in the AI field, and this role is experiencing excellent growth(26% year-over-year). The average salary range is $50,000-$174,000 annually, and it can go as high as $200K [University of San Diego].
All these mentioned job roles are at the top of the charts, and various recruitment agencies and research firms have claimed it. Any one of the job roles can open the door to success for you; the only thing that matters is that you must learn, train, and gain Generative AI skills in 2025.
Final Words
Hope you have got an idea of how it will be beneficial to learn through any of the top -12 Generative AI courses provided by top learning platforms.
The fact is that GenAI is no longer a trend. It is already changing how people work, learn, build, and grow. The market is growing fast, the demand for AI talent is high, and roles like AI engineer, prompt engineer, and AI product manager are paying serious money. This is the right time to build these skills.
If you’re a student, this can be your first big step. If you’re already a working professional, this can be your competitive edge.
Pick a course, learn the basics, practice with real projects, and start applying AI in your daily work. The goal is simple: don’t watch the shift from outside. Be part of it.
FAQs
Which is the best course for generative AI?
Actually, it depends on your goal. If you are a beginner, then you can choose courses such as Andrew Ng’s Generative AI for everyone, LinkedIn Learning’s What is Generative AI, or IBM – Generative AI: Introduction and Applications. Or if you are a professional who wants to learn at an advanced level, you can opt for the Nvidia generative AI course, MIT Professional Education’s course, etc.
Are generative AI courses worth it?
Yes, it’s worthwhile. These courses can help you grow professionally and gain new skills to be future-ready, including enhancing your employability.
Can a beginner learn generative AI?
Yes, of course. There is a variety of generative courses available on online course platforms like Coursera, Simplilearn, LinkedIn, and others.
Can a non-tech person learn generative AI?
Yes, a non-tech person can learn generative AI for their better career prospects. You can start with beginner-friendly courses such as AI for Everyone by Andrew Ng, through workshops organized by industry experts, tutorials, and more.
What jobs can you get with a generative AI certification?
The jobs you can get with a generative AI certification are:
- AI Engineer
- Machine Learning Developer
- Prompt Engineer
- Data Scientist
- AI Product Manager
- AI Researcher
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Kapil Kumar is a leading voice in the field of Artificial Intelligence, blending deep technical expertise with a passion for innovation and real-world impact. As an accomplished author, researcher, and AI practitioner, he brings clarity to complex technologies—making AI not only understandable, but actionable. Whether decoding algorithms or envisioning ethical frameworks for AI, he is committed to guiding professionals, students, and tech enthusiasts through the rapidly evolving world of artificial intelligence.
