Advanced Artificial Intelligence Course: Syllabus, Eligibility, and Career Opportunities
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Updated on Oct 30, 2026 | 7 min read | 5.91K+ views
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Quick Insights:
- IIT Kanpur, IIT Kharagpur, IIT Delhi and some other institutes offer Advanced artificial intelligence courses. These programmes help learners build skills in AI, machine learning, and other related technologies.
- Topics like deep learning, which helps computers learn from data and recognise patterns are taught in advanced AI programmes .
- Advanced AI courses also focus on Generative AI, Large Language Models (LLMs), and AI agents that can perform tasks with limited human input.
- In this blog, you will find details of advanced AI courses, their fees, duration, learning mode, syllabus, eligibility requirements, career opportunities and average salaries you might get.
Turn your interest in AI into a career skill. Explore upGrad’s Artificial Intelligence courses with hands-on projects, university programs, and career support.
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Advanced Artificial Intelligence Courses
Many institutes offer advanced AI courses and teach machine learning, Generative AI, and AI agents. Here are some of the top programmes with details like duration, learning mode, fees, and key topics.
Take a quick look at advanced AI courses:
| Advanced Artificial Intelligence Course | Offered By | Duration |
| Advanced Certification in AI & Machine Learning | E&ICT Academy, IIT Kanpur | 180 hours |
| Executive Post Graduate Certificate in Generative AI & Agentic AI | IIT Kharagpur | 8 months |
| Chief Technology Officer & AI Leadership Programme | IIIT-B & IIMU | 6 months |
| Advanced Certification in AI: From ML Foundations to Agentic AI | IIT Delhi | 6 months |
| Executive Post Graduate Certificate in Applied AI & Machine Learning | IIT Kharagpur | 8 months |
| IIM Kozhikode Strategic AI for Business Professionals | IIM Kozhikode | 6 months |
1. Advanced Certification in AI & Machine Learning - E&ICT Academy, IIT Kanpur
E&ICT Academy, IIT Kanpur, offers this self-paced certification for learners who want to develop practical AI and machine learning skills. The course includes hands-on projects and covers different AI applications.
Course Details:
| Detail | Information |
| Offered by | E&ICT Academy, IIT Kanpur |
| Course type | Advanced certification |
| Duration | 180 hours |
| Learning mode | Self-paced learning |
| Key topics | Python, deep learning, NLP, computer vision, and model deployment |
| Practical learning | 7+ industry projects |
| Certification | Certificate from E&ICT Academy, IIT Kanpur, upon project completion |
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2. Executive Post Graduate Certificate in Applied AI & Machine Learning - IIT Kharagpur
IIT Kharagpur also offers advanced AI course, this programme is for learners who want to develop skills in AI development and deployment. It covers machine learning, deep learning, Generative AI, and related technologies through live classes and practical projects.
Course Details:
| Detail | Information |
| Offered by | Department of Artificial Intelligence, IIT Kharagpur |
| Course type | Executive Post Graduate Certificate |
| Duration | 8 months |
| Learning mode | 100% live online classes |
| Total programme fee | ₹1,99,000, including taxes |
| Eligibility | Graduation with at least 50% marks, subject to academic background requirements |
| Key topics | Machine learning, deep learning, NLP, Generative AI, RAG, AI agents, and MLOps |
| Practical learning | Six guided projects and one capstone project |
Fee Source: Official Course Page
Enroll into IIT Kharagpur’s Executive Post Graduate Certificate in AI-Native Software Engineering Program and transition from traditional architecture to building intelligent, AI-powered systems.
3. Executive Post Graduate Certificate in Generative AI & Agentic AI - IIT Kharagpur
This advanced AI programme from IIT Kharagpur focuses on Generative AI, large language models (LLMs), and AI agents. It has live online classes and practical projects on building and deploying AI systems.
Course Details:
| Detail | Information |
| Offered by | Department of Computer Science and Engineering, IIT Kharagpur |
| Course type | Executive Post Graduate Certificate |
| Duration | 8 months |
| Learning mode | 100% live online classes |
| Total programme fee | ₹2,04,000, including taxes |
| Eligibility | Graduation with at least 50% marks, subject to academic background requirements |
| Prerequisites | Basic Python programming, data structures, and API knowledge |
| Key topics | LLMs, prompt engineering, RAG, model fine-tuning, multimodal AI, AI agents, and deployment |
| Practical learning | Guided industry capstone project |
Fee Source: Official Course Page
Enroll now in IIT Kharagpur’s Executive Post Graduate Certificate in Building AI Products, Systems & Services and prepare for the next era of Product Management as well.
4. Chief Technology Officer & AI Leadership Programme
The Chief Technology Officer (CTO) and AI Leadership Programme provides technical AI knowledge along with business and leadership skills. It is designed for experienced professionals who want to take on senior technology leadership roles.
Course Details:
| Detail | Information |
| Offered by | IIIT Bangalore and IIM Udaipur via Upgrad |
| Course type | Executive leadership programme with dual certification |
| Duration | 6 months (24 weeks) |
| Learning mode | Blended learning with live weekend sessions and recorded pre-work |
| Eligibility | Bachelor's degree in any discipline and at least 8 years of professional experience |
| Key topics | AI and Generative AI, MLOps, LLMOps, RAG, cloud architecture, cybersecurity, business strategy, and financial leadership |
| Practical learning | Strategic capstone project and a two-day AI strategy workshop at IIIT Bangalore |
| Certification | Dual executive certification from IIIT Bangalore and IIM Udaipur |
5. Advanced Certification in AI: From ML Foundations to Agentic AI - IIT Delhi
IIT Delhi's Continuing Education Programme offers this six-month certification for learners interested in moving from machine learning basics to advanced AI applications. The programme includes live online classes, practical projects, and a capstone project.
Course Details:
| Detail | Information |
| Offered by | Continuing Education Programme, IIT Delhi |
| Course type | Advanced certification |
| Duration | 6 months |
| Learning mode | Online, with live classes on Sundays |
| Class schedule | Sunday, 10 AM to 1 PM |
| Total programme fee | ₹1,65,000 + 18% GST |
| Application fee | ₹1,000 + 18% GST, charged separately |
| Eligibility | Eligible engineering, computing, mathematics, statistics, or other STEM students and graduates, subject to academic and programming requirements |
| Key topics | Machine learning, deep learning, Generative AI, LLM fine-tuning, RAG, and agentic AI |
| Practical learning | Hands-on projects and an end-to-end AI capstone project |
| Additional feature | Optional two-day campus immersion at IIT Delhi |
Fee Source: Official Course Page
Explore IIT Delhi’s Certificate Programme in Cybersecurity & AI you can master cybersecurity and AI security, together!
6. IIM Kozhikode Strategic AI for Business Professionals
IIM Kozhikode offers this professional certificate programme for business professionals who want to use AI in decision-making and business strategy. It covers Generative AI, AI agents, business applications, and AI leadership without requiring a technical background.
Course Details:
| Detail | Information |
| Offered by | IIM Kozhikode, through upGrad |
| Course type | Professional Certificate Programme |
| Duration | 6 months (26 weeks) |
| Learning mode | Blended learning with self-paced content, live workshops, and campus immersion |
| Total programme fee | ₹1,99,000 |
| Eligibility | Bachelor's degree in any discipline and at least 3 years of work experience |
| Key topics | AI and machine learning foundations, Generative AI, agentic AI, AI strategy, governance, and business applications |
| Practical learning | Applied projects and a leadership capstone based on an organisational AI opportunity |
| Certification | Certificate of Successful Completion from IIM Kozhikode |
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Advanced Artificial Intelligence Course Syllabus
The syllabus of an advanced artificial intelligence course generally covers machine learning, deep learning, Generative AI, and other AI technologies. The exact subjects and tools may change by programme.
Core Subjects Covered in an Advanced AI Course:
| AI Topic | What Students Learn |
| Machine Learning | Build models that learn from data and identify patterns. |
| Deep Learning | Understand neural networks and use them to solve complex problems. |
| Natural Language Processing (NLP) | Develop AI systems that can understand and process human language. |
| Computer Vision | Train AI models to analyse images and visual data. |
| Generative AI and LLMs | Learn how AI generates text, images, and other content using large language models. |
| Retrieval-Augmented Generation (RAG) | Build AI applications that find relevant information from documents and use it to generate answers. |
| Agentic AI | Develop AI agents that can plan tasks, use tools, and complete multiple steps. |
| Model Deployment and MLOps | Learn to deploy, monitor, and maintain AI models. |
Tools and Technologies Covered
| Tool or Technology | What Students Learn |
| Python | Write code, process data, and develop AI models. |
| SQL | Store, retrieve, and manage data in databases. |
| Scikit-learn | Build and test machine learning models. |
| TensorFlow and Keras | Create and train neural networks for deep learning tasks. |
| Large Language Models (LLMs) | Work with language models for tasks such as text generation and question answering. |
| Vector Databases | Store and search data in ways that help AI applications find relevant information. |
| Cloud Platforms | Deploy AI models and make them available for use. |
| Tableau and Power BI | Create charts and dashboards to present data and results. |
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Eligibility for an Advanced Artificial Intelligence Course
The eligibility for advanced artificial intelligence courses depends on the programme. The course details given above cover the specific requirements for each programme. In general, students should consider the following requirements.
Educational Qualifications
- Graduation: Many advanced AI courses require a bachelor's degree in engineering, computer science, IT, mathematics, statistics, or a related field.
- Other academic backgrounds: Some programmes accept graduates from other fields if they meet the required academic and technical criteria.
Technical Skills and Work Experience
- Programming: Basic knowledge of Python or another programming language can be useful.
- Mathematics: Familiarity with statistics, probability, and algebra helps students understand AI concepts.
- Work experience: Some executive programmes require relevant professional experience, while other certification courses may accept recent graduates.
How to Choose the Right Advanced AI Course
The right advanced AI course depends on your existing skills, career goals, budget, and preferred learning mode. Compare these factors before choosing a programme.
| Factor | What to Consider |
| Course Syllabus | Look for topics such as machine learning, deep learning, Generative AI, and AI agents. |
| Eligibility | Check the required degree, programming knowledge, and work experience. |
| Duration | Choose a course that fits your schedule and learning goals. |
| Course Fees | Compare the total programme fee and any additional charges. |
| Learning Mode | Choose between self-paced learning, live online classes, and classroom learning. |
| Practical Projects | Look for hands-on assignments, real-world projects, and capstone work. |
| Certification | Check which institute awards the certificate and what you need to complete the programme. |
| Career Goals | Select a course that covers the AI skills needed for your preferred career path. |
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Career Opportunities After an Advanced Artificial Intelligence Course
Advanced artificial intelligence course can help learners build skills for roles in AI development, machine learning, data analysis, and research. Job opportunities and salaries depend on the candidate's skills, qualifications, and experience.
| Job Role | Key Responsibilities | Average Annual Salary |
| AI Engineer | Develop AI-based applications and solutions for real-world problems. | ₹15.1- ₹16.7 LPA
|
| Machine Learning Engineer | Build, test, improve machine learning models. | ₹12.6 -₹13.9 LPA |
| Data Scientist | Analyse data and use statistical methods and AI models to find patterns. | ₹15.3 - ₹16.9 LPA |
| Generative AI Engineer | Build applications using large language models and Generative AI tools. | ₹9.2 - ₹10.1 LPA |
| NLP Engineer | Develop systems that help computers understand and process human language. | ₹10.6 -₹12.6 LPA |
| Computer Vision Engineer | Build AI systems that analyse images and videos. | ₹11 - ₹12.2 LPA |
| MLOps Engineer | Deploy, monitor, and maintain machine learning models. | ₹13.3 - ₹15.8 LPA |
| AI Research Scientist | Study new AI methods and develop solutions to complex problems. | ₹15.7 - ₹17.3 LPA |
Source: Ambition Box
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Conclusion:
Advanced artificial intelligence courses can help learners keep up with the growing use of AI across industries. The right programme can help you move from understanding AI concepts to building solutions for real-world problems.
You can contact our experts to explore more advanced courses in AI and get personalized guidance to start your career in AI.
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Frequently Asked Questions (FAQs)
Q1. What topics are covered in an advanced artificial intelligence course?
Advanced artificial intelligence course generally cover machine learning, deep learning, natural language processing, computer vision, and neural networks. Many advanced AI programmes also include Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and AI agents.
Q2. What are the eligibility requirements for advanced AI courses?
Most advanced Artificial Intelligence courses require a bachelor's degree. Some prefer graduates in engineering, computer science, IT, mathematics, or related fields. Certain programmes also require basic programming knowledge, mathematical skills, or relevant work experience.
Q3. Can beginners enrol in advanced AI programmes without prior AI experience?
Yes, some advanced AI programmes teach foundational concepts before moving to advanced topics. However, learners may still need basic Python programming, mathematics, or statistics knowledge. The exact requirements depend on the programme.
Q4. How long does an advanced AI course take to complete?
The duration depends on the course format and curriculum. For example, some certification courses offer around 180 hours of learning, while the selected IIT Delhi programme lasts six months and the IIT Kharagpur executive programmes last eight months.
Q5. What is the fee for advanced artificial intelligence courses?
The fee varies by institute and programme. Among the selected courses, IIT Kharagpur's Applied AI and Machine Learning programme costs ₹1,99,000, while its Generative AI and Agentic AI programme costs ₹2,04,000. IIT Delhi's advanced AI certification costs ₹1,65,000 plus GST.
Q6. Are advanced AI courses available online and through weekend classes?
Yes, several advanced AI courses offer online learning. Some include live weekend classes, while others provide self-paced video lessons. For example, the selected IIT Delhi programme offers live online classes on Sundays, while E&ICT Academy's IIT Kanpur certification follows a self-paced format.
Q7. Which tools and technologies are taught in advanced AI courses?
Depending on the programme, students may learn Python, Scikit-learn, TensorFlow, Keras, and tools for working with large language models. Advanced AI courses may also cover vector databases, RAG systems, model deployment, and AI agent frameworks.
Q8. What is the difference between an AI certification and a postgraduate AI programme?
An AI certification usually focuses on specific skills or technologies and may take a few months to complete. An executive postgraduate certificate generally follows a more structured curriculum over a longer period. However, a postgraduate certificate is not the same as a postgraduate degree such as an M.Tech.
Q9. What career opportunities are available after completing an advanced AI course?
Graduates and working professionals can explore roles such as AI engineer, machine learning engineer, Generative AI engineer, NLP engineer, and MLOps engineer. Relevant experience, programming skills, projects, and prior qualifications can influence job opportunities.
Q10. How can I choose the right advanced artificial intelligence course for my career goals?
Compare the syllabus, eligibility requirements, duration, fees, learning mode, and practical projects. Also, check whether the course focuses on machine learning, Generative AI, or agentic AI, and choose a programme that matches your current skills and career goals.
Q11. Do advanced artificial intelligence courses include practical projects?
Yes, many advanced AI courses include hands-on projects, assignments, or capstone projects. These help learners apply concepts such as machine learning, Generative AI, and AI agents to real-world problems. The type and number of projects depend on the programme.
Q12. What is the difference between Generative AI and agentic AI?
Generative AI creates content like text, images, and code based on user input. Agentic AI goes a step further by planning tasks, using tools, and completing multiple steps to achieve a goal. Some advanced AI programmes cover both areas.
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