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Generative AI is moving beyond basic prompting, creating demand for learners who can build, connect and deploy AI-powered applications. Learning individual tools alone may not be enough when real-world AI development also involves LLMs, RAG, agents, deployment and production workflows.
PW Skills AI/ML Engineering course focuses on practical Generative AI development through live learning, hands-on projects and mentor guidance. You can work with tools such as LangChain, LangGraph, RAG, MCP, Docker and AWS while building AI applications, agents and other projects. Selected plans also include career guidance, AI mock interviews and additional Microsoft AI learning.
PW Skills AI/ML Engineering: Generative AI Course
PW Skills offers learning focused on modern Generative AI engineering, helping you move from AI concepts to practical application development. The Gen AI Engineering Course combines live sessions, projects, assessments and mentor reviews to give you experience with different stages of AI development.
Gen AI Engineering Course
Ideal For: Learners who want to develop practical Generative AI engineering skills and build production-ready AI applications.
Key Skills Covered: Generative AI, LLMs, prompt engineering, RAG, LangChain, LangGraph, MCP, LLMOps, Docker, AWS and AI agent development.
What Makes This Course Distinct: The course follows a project-driven approach where you build projects throughout the learning journey and work towards a production capstone. Projects can include playgrounds, chatbots, AI agents and MCP servers.
What You’ll Gain: Practical experience in building, deploying and working with modern GenAI applications and workflows.
Additional Resources: Live AI labs, weekend live sessions, hands-on mini projects, module-wise assessments, AI project library, mentor project reviews and certification. Premium learners can also access career guidance sessions, AI mock interviews and a Microsoft AI Tools module.
Gen AI Engineering Course for Different Learning Goals
If your goal is to build Generative AI applications rather than only learn AI concepts, this course brings together the complete development workflow in one learning path.
- Build AI Applications: Create production-ready GenAI apps through practical projects.
- Work with RAG & AI Agents: Learn retrieval pipelines, autonomous agents and MCP-based applications.
- Master Modern AI Tools: Gain hands-on experience with LangChain, LangGraph, Docker, AWS and LLMOps.
- Complete a Production Capstone: Design, deploy and present a full AI application with mentor guidance.
- Prepare for AI Careers: Strengthen your portfolio through live labs, project reviews and selected career support.
Who Can Explore the AI/ML Engineering Course?
AI/ML engineering learning can be useful for learners with different backgrounds who want to develop practical Generative AI skills. It can be a good fit for:
- AI Beginners: Those starting their journey into Generative AI and modern AI applications.
- Programming Students: Learners who want to use their coding knowledge to build AI-powered applications.
- Developers: Professionals looking to add RAG, AI agents and LLM-based development to their existing skills.
- AI/ML Learners: Those seeking hands-on experience with frameworks and tools used in GenAI development.
- Working Professionals: Individuals looking to upskill for emerging opportunities in AI and technology.
- Project Builders: Learners who prefer learning by creating practical applications and developing a project portfolio.
What Makes PW Skills AI/ML Engineering a Practical Learning Choice?
PW Skills AI/ML Engineering focuses on combining technical learning with hands-on application. The course gives you opportunities to:
- Learn Through Live Sessions: Attend mentor-led sessions and weekend classes for guided learning.
- Build AI Projects: Create mini projects throughout the course, including chatbots, AI agents and other applications.
- Use Modern GenAI Tools: Work with LangChain, LangGraph, RAG, MCP, LLMOps, Docker and AWS.
- Get Project Feedback: Receive mentor reviews to improve your implementations and project quality.
- Work on a Capstone: Bring your skills together by designing and deploying a complete AI application.
- Access Career Support: Premium learners can receive career guidance and AI mock interview support.
- Earn Certification: Complete the course requirements to receive a PW Skills + NSDC certificate, with a Microsoft co-branded certificate available for Premium learners.
Generative AI skills are becoming increasingly useful across modern technology roles. PW Skills AI/ML Engineering combines live learning, practical projects, modern GenAI tools, mentor reviews and a production capstone to help you develop hands-on AI application skills. You can choose the course based on your learning goals and build relevant skills for the evolving AI landscape.