Artificial Intelligence (AI) and Machine Learning Courses

The best Artificial Intelligence (AI) course depends on your background, career goals, and learning preferences.

Great Learning offers several high-quality programs in collaboration with globally renowned institutions. Here’s a categorized list:

For Beginners or Non-programmers:

For Working Professionals Looking to Specialize in AI & ML:

For Advanced Learning in AI and ML:

Short-Term, Skill-Focused Courses:

For more programs, you can check out the Explore Courses section. 

If you're looking to build expertise in Generative AI and prompt engineering with Microsoft technologies, Great Learning offers the following industry-relevant programs:

Program	Learning Mode	Focus Area
Microsoft AI Professional Program (AI to OpenAI)	Online	Hands-on learning with Microsoft and OpenAI tools; includes building and deploying AI solutions.
Generative AI for Business with Microsoft Azure OpenAI	Online	Business-focused applications of Generative AI include prompt engineering, LLMs, and enterprise deployment strategies.

Each course is designed by industry practitioners, mentors from top organizations, and experienced faculty from world-renowned universities, including the Texas McCombs, Johns Hopkins University, and the Indian Institute of Technology Bombay. 

The programs are flexible, designed for working professionals, ensuring practical learning.

Great Learning offers comprehensive career support as part of its AI & ML programs. This includes: 

• 1:1 Career Mentorship: Personalized sessions with industry experts to help you plan your next steps. 
• Resume and LinkedIn Profile Reviews: Improve your visibility and positioning for AI roles. 
• Mock Interviews: Prepare for real-world job interviews with expert feedback. 
• E-Portfolio Development: Showcase your projects and skills to potential employers. 
• Access to Job Opportunities: Get matched with relevant openings through career support teams and hiring partners. 

This support is designed to help you confidently transition into roles such as AI Engineer, ML Specialist, or Data Scientist.

The faculty and instructors of the AI courses offered by Great Learning are top-notch. The faculty members are from the prestigious institutions of JHU and IITB. The mentors of the courses are from the leading companies like Microsoft, Google, Amazon, and others who bring real-world guidance and experience. 

You will receive hands-on mentoring from the seasoned mentors who guide you through capstone projects and ensure personalized learning.

Yes. These Artificial Intelligence courses offer project-based learning opportunities. Here is what they provide: 

• Industry-relevant case studies: These case studies let you experience the real-world insights of AI in various domains and industries. 
• Capstone projects: These projects provide you with hands-on experience with AI technologies and applications that you have learned throughout the course. 
• Projects: These projects help you experience real-world business scenarios that reflect challenges and trends that you might face in the future. 
• AI Tools and Platforms: Hands-on experience with tools like Python, Open APIs, and other industry-relevant tools helps you understand the program better.

• Fully grasp the course concepts 
• Get the most out of the course and dedicate enough time to hands-on projects. 
• Make the most of available support services and mentorship.

Yes, ethical considerations are an integral part of our Artificial Intelligence courses. Each program’s curriculum is designed with careful consideration for ethical applications. These courses guide students in solving technological complexities using AI and machine learning techniques across industries. Some of these AI programs have dedicated modules on ethical and responsible use of AI.

The AI and Machine Learning courses offered through Great Learning are specially designed to reflect the latest trends and technologies shaping the AI landscape. Here are the ways in which these AI programs align with the current industry trends: 

• Cutting-edge curriculum: Courses are updated with emerging topics like Generative AI, LLMs (Large Language Models), and Prompt Engineering. 

• Hands-on learning: Real-world case studies, capstone projects, and practice assignments help learners solve business challenges using AI. 

• Industry collaboration: Programs are developed or delivered in collaboration with top universities (e.g., the McCombs School of Business, MIT PE, MIT IDSS, Johns Hopkins University, and more) and leading companies like Microsoft. 

• Career support: Learners receive career services including mentorship, resume reviews, and mock interviews to help them apply their skills in real-world roles. 

• Ethical and responsible AI: The programs include training on the social and ethical implications of AI applications.

Yes, there are dedicated online programs on Generative AI with modules like prompt engineering and large language models. These programs are designed for professionals looking to upskill in this fast-evolving domain. Here are some of the programs with a Generative AI focus or with Generative AI modules: 

• Generative AI for Business with Microsoft Azure OpenAI 
• Certificate Program in Applied Generative AI by JHU 
• PGP in Data Science (with Specialization in Gen AI) by Great Lakes Executive Learning 
• PG Program in AI & Machine Learning by the McCombs School of Business at The University of Texas at Austin 
• e-Postgraduate Diploma (ePGD) in Artificial Intelligence and Data Science by IIT Bombay 
• MS in Data Science Programme by NorthWestern School of Professional Studies 
• No Code AI and Machine Learning: Building Data Science Solutions by MIT PE

The duration of the AI courses depends on their curriculum depth, program type, and career goals. You can earn an AI certificate in a 3-month course, and a master’s or Doctorate in Artificial Intelligence in 2-3 years. 

Whether you're looking to upskill quickly or pursue a comprehensive AI education, there's a course to fit your schedule and ambition. 

Explore Programs here.

Here are some tips you can follow for upskilling in AI and ML and balancing your job: 

1. Choose the Flexible Learning Program 

Opt for online AI & ML courses that offer self-paced or weekend-only learning formats. Programs from Great Learning are designed specifically for working professionals. 

2. Set Clear Learning Goals 

Define your career objectives, whether it's transitioning into AI, growing in your current role, or becoming a domain expert. This will help you choose the right course content and focus areas. 

3. Block Dedicated Time 

Schedule learning hours during evenings or weekends. Even 5–7 hours per week can make a difference if planned consistently. 

4. Apply What You Learn at Work 

Integrate new skills by volunteering for AI-related projects or automating tasks in your current role. This strengthens your understanding and boosts visibility. 

5. Use Real-World Projects 

Enroll in programs with hands-on labs and capstone projects to get practical experience that mirrors real workplace scenarios. 

6. Leverage Employer Resources 

Check if your company provides learning reimbursements or access to tools like Azure, Google Cloud, or internal data platforms to practice skills. 

7. Join Learning Communities 

Engage with AI peer groups, Slack channels, or LinkedIn groups to stay motivated, get doubts resolved, and build your network. 

These steps will help you build expertise in AI/ML without pausing your career.

Yes, as long as it’s the right one for your goals. Certificate programs can be valuable and here are the reasons for it: 

• It's a fast-track way to master in-demand skills 
• Boosts your credibility and job visibility 
• Accelerates professional growth & salary boost 
• Provides practical experience and assurance of quality

No. AI Certificates do not mention “Artificial Intelligence Online Course,” "Online Post Graduation," or "Online Master's" for any program. 

The certificates issued upon completion of AI programs through Great Learning do not mention the word “online” on them. These certificates are awarded by globally recognized universities such as: 

• The McCombs School of Business at The University of Texas at Austin 
• MIT Professional Education 
• Johns Hopkins Whiting School of Engineering 
• IIT Bombay 
• Walsh College, and others 

These programs offer you the same prestigious recognition as the on-campus programs.

Core AI & ML Skills: 

• Machine Learning (ML) fundamentals 
• Deep Learning, including neural networks and computer vision 
• Natural Language Processing (NLP) and its business applications 

Technical Proficiency: 

• Python programming for AI/ML workflows 
• Proficiency in tools like TensorFlow, PyTorch, and Scikit-learn 
• MLOps skills for deploying and managing AI models 

Generative AI & Prompt Engineering: 

• Large Language Models (LLMs) like GPT 
• Crafting effective prompts for specific use cases 
• Building AI-powered applications using OpenAI and Azure APIs 

Ethical & Responsible AI: 

• Understanding AI ethics 
• Building awareness of the social implications of AI 

 Industry Application: 

• Solving domain-specific challenges in finance, healthcare, Automobile, marketing, and more by working on capstone projects and real-world case studies.