Professional Certificate in Data Science, Advanced AI & ML with Generative AI - Built for Next-Gen AI Careers
Build job-ready skills across Python, statistics, machine learning, NLP, computer vision, deep learning, MLOps, and Generative AI. Learn through hands-on projects, real-time case studies, deployment practices, and expert mentorship designed for modern AI careers.
Duration : 7 Months
Eligibility: IT / Degree / Diploma / B.Tech & Above
Certification: Professional Certificate in Data Science, Advanced AI & ML with Generative AI from SMEC Technologies
11+
AI & ML career paths
Free Demo Classes
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Advanced AI & ML Career Roadmap
This program is designed for modern AI careers across data science, machine learning, deep learning, NLP, computer vision, and Generative AI with clear salary growth potential.
AI & ML Learners, Ready for Top Companies
Learners can target roles such as Data Scientist, Machine Learning Engineer, AI Engineer, NLP Engineer, Computer Vision Engineer, Big Data Engineer, and AI Specialist.
Top Hiring Partners
Professional Certificate in Data Science, Advanced AI & ML Curriculum
A structured roadmap covering Python foundations, data analytics, machine learning, BI, deep learning, NLP, computer vision, and Generative AI applications.
A training experience designed to build real AI & ML capability.
SMEC Technologies is committed to advancing innovation through AI, Data Science, and Machine Learning with a program that bridges academic knowledge and real-world industry applications through projects, case studies, deployment practice, and expert mentorship.
Learning Students
Expert Mentors
Built For Results
We focus on outcomes that matter after the classroom.
From data preprocessing and model building to Gen AI workflows, deployment practices, and interview preparation, every stage is built to improve employability and real-world AI confidence.
Book a Free DemoExperienced Trainers
Learn from industry AI professionals with hands-on exposure across machine learning, deep learning, NLP, computer vision, and Generative AI workflows.
Project-Based Learning
Students work through daily and weekly assignments plus main projects in exploratory data analysis, machine learning, TensorFlow ANN, CNN, computer vision, and NLP.
Placement Preparation
Resume support, interview practice, portfolio building, and role-based guidance are included to help students get placement-ready for AI, ML, and data science careers.
Structured Roadmap
The curriculum is arranged from Python and statistics to BI, machine learning, TensorFlow, PyTorch, NLP, computer vision, and LLM tools so learners build steadily and clearly.
Continuous Support
Students receive ongoing support during training through live sessions, mentor help, guided practice, and feedback on assignments, projects, and AI models.
Trusted Reputation
SMEC Technologies, the training division of SMEC Automation Pvt. Ltd., combines a trusted brand, approvals, and learner outcomes to deliver career-focused AI & ML training with real-world applications.
Hear It From Our Students
Real shorts. Real stories. See how SMEC Technologies helped learners move toward data science, AI, ML, and Gen AI-enabled career paths.
Certifications & Approvals
Approved training partnerships and credentials that strengthen the credibility of your AI, ML, and data science career profile.
Approved Training Partner of
Government of India
Ministry of Skill Development & Entrepreneurship
NSDC
National Skill Development Corporation
NSDC ID : TP056322
Member SAP Student Academy Program
NAAC A++ AICTE UGC Approved University.
International Certification
Confederation of Indian Industry
Approved Trade Test Center
Tools & Technologies Covered
Python, analytics, BI, and modern AI tools used across the full program.
What Our Students Say
Real results from learners who built AI, ML, data science, and Gen AI-driven career paths with SMEC Technologies.
"The progression from Python foundations to machine learning made the course easy to follow. By the time we worked on real-world AI case studies, I felt ready for junior AI and data science interviews."
Nivedya Paul
Data Scientist • Infosys
"Power BI, Tableau, and the EDA practice gave me a strong foundation, and the mentors helped me connect that work to machine learning and AI-driven decision support."
Pratham Nair
AI Specialist • TCS
"The Generative AI modules saved me hours during experimentation and reporting. It felt like learning AI the way modern teams actually work with ChatGPT, Gemini, and prompt-driven workflows."
Aditi Sharma
ML Engineer • Cognizant
"Coming from a non-tech background, I appreciated how the course started with fundamentals and gradually moved into machine learning, predictive modeling, and project work."
Rahul Krishnan
AI Engineer • Accenture
"Python, Pandas, SQL, machine learning, and the advanced modules in NLP and computer vision were taught in a very practical way. The capstone and interview support gave me confidence during placements."
Sneha Pillai
Machine Learning Engineer • HCLTech