Uploaded August 2026 | Updated September 2026, 2 weeks ago

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Looking to build a successful AI career in 2026? Explore the best AI learning courses and certification programs to master artificial intelligence, Generative AI, machine learning, and in-demand AI skills. Whether you are a beginner or a professional, the right AI training can help you learn AI concepts, work on real-world projects, and advance your career. Discover top AI courses for beginners and professionals with Simplilearn and start your AI journey today. Subscribe to Simplilearn for more AI, technology, and career growth insights.

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➡️ About Professional Certificate Program in Generative AI and Machine Learning

The Generative AI and Machine Learning course enriches your career journey with comprehensive coverage of machine learning, deep learning, NLP, generative AI, reinforcement learning, computer vision, and more. Combining theory with hands-on practice, it offers live virtual sessions, projects with integrated labs, and masterclasses by IIT Guwahati faculty.

Key Features:

✅ Program completion certificate from E&ICT Academy, IIT Guwahati
✅ Curriculum delivered in live virtual classes by seasoned industry experts
✅ Exposure to the latest AI advancements, such as generative AI, LLMs, and prompt engineering
✅ Interactive live-virtual masterclasses delivered by esteemed IIT Guwahati faculty
✅ Opportunity to earn an 'Executive Alumni Status' from E&ICT Academy, IIT Guwahati
✅ Eligibility for a campus immersion program organized at IIT Guwahati
✅ Exclusive hackathons and “ask-me-anything” sessions by IBM
✅ Certificates for IBM courses and industry masterclasses by IBM experts
✅ Practical learning through 25+ hands-on projects and 3 industry-oriented capstone projects
✅ Access to a wx4YvjwUhsTYe array of AI tools such as ChatGPT, Hugging Face, DALL-E 2, Mx4YvjwUhsTYjourney and more
✅ Simplilearn's JobAssist helps you get noticed by top hiring companies

Skills Covered
✅ Generative AI
✅ Prompt Engineering
✅ Chatbot Development
✅ Supervised and Unsupervised Learning
✅ Model Training and Optimization
✅ Model Evaluation and Validation
✅ Ensemble Methods
✅ Deep Learning
✅ Natural Language Processing
✅ Computer Vision
✅ Reinforcement Learning
✅ Machine Learning Algorithms
✅ Speech Recognition
✅ Statistics

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