Artificial Intelligence and Machine Learning (AI ML) CourseDesign, Train, and Deploy Intelligent Systems with Advanced AI, ML, and ModelOps
This SAS Academy AI ML certification course is one of the best in India for professionals looking to move beyond learning models and transition to real-world AI roles in industries like BFSI, Healthcare, and IT Consulting.
Delivered by industry experts, the program runs online on weekends over 6 months, with support resources for working professionals to stay on track and catch up on missed classes.
Train on enterprise platform SAS Viya with Python and learn to build full AI lifecycle skills: Statistics → Machine Learning → Deep Learning → Generative AI → Agentic AI → ModelOps → Governance
[ Eligibility | Syllabus | Certifications | Apply Now ]
Career Outcomes
After completing this AI and Machine Learning course, professionals typically progress into job opportunities in roles such as:
- Artificial Intelligence Engineer
- Machine Learning Engineer
- Data Scientist
- AI Developer
- GenAI Integration Specialist
- Model Deployment / ModelOps Specialist
Participants gain skills to develop predictive models, build AI pipelines, and deploy machine learning systems used for forecasting, fraud detection, and customer analytics.
Who This Program Is For?
- IT and engineering professionals transitioning into AI and Machine Learning roles
- Data and analytics professionals expanding into advanced AI, Generative AI, and ModelOps
- Business and domain professionals working with AI-driven decision systems
- Professionals in organisations using or adopting enterprise analytics platforms and aiming for Artificial Intelligence Engineer roles
Why Choose this AI and ML Program
Most courses teach models. Few teach how AI systems run in real enterprise environments
This AI ML certificate course combines the depth of an advanced Artificial Intelligence course with the structure of an AI and Machine Learning course, making it suitable for professionals preparing for Artificial Intelligence Engineer roles.
1. Curriculum covers the full AI lifecycle enabling you to move from learning AI concepts to building, deploying, monitoring & managing AI systems in real enterprise environments with SAS Viya and Python.
2. Directly delivered by SAS, a global leader in enterprise analytics and AI, with solutions used across banking, healthcare, telecom, manufacturing, and government.
3. Official, online, weekend training delivered by SAS certified instructors with real enterprise exposure and cross-industry implementation experience.
4. Certification-aligned program with additional credentials, including certificates and digital badges recognised by employers globally.
5. Suitable for beginners and working professionals from IT, engineering and analytics roles looking to move into AI-driven responsibilities.
Program Syllabus
This 6-month (151.5 hours) duration AI ML course syllabus builds a clear progression from core machine learning to advanced Artificial Intelligence.
Level 1: Machine Learning (70 hours)
Machine learning (ML) course in India with certificate and certification. One of the best online ML courses for beginners and working professionals, featuring a structured 70-hour duration syllabus covering statistics, supervised learning, Python integration, scalable workflows, and visual analytics for real-world applications.
Curriculum
1. Statistics for Machine Learning
- Role of statistics in machine learning and data science
- Descriptive statistics and data exploration techniques
- Linear and logistic regression for predictive modelling
- Bias–variance trade-off and model evaluation
- Statistical foundations for machine learning workflows
2. Performance Optimization for Data Pipelines
- Running and optimising code on SAS Viya platform
- Working with SAS Cloud Analytic Services (CAS)
- Loading and managing large-scale datasets (CSV, Parquet, Excel, DBMS)
- Writing efficient DATA step, SQL, and CASL code
- Building scalable data pipelines for ML systems
3. Python Integration with SAS Viya for Machine Learning
- Using Python APIs within SAS Viya
- Executing CAS actions through Python
- Data preparation and transformation workflows
- Model building and comparison using Python
- Automating ML workflows using functions and loops
4. Core Machine Learning Methods
- End-to-end analytical lifecycle for business problems
- Data preparation and feature engineering
- Supervised learning models: decision trees, ensembles, neural networks, SVMs
- Model evaluation and selection based on business needs
- Deploying and managing machine learning models
5. Visual Analytics & Dashboarding
- Building reports using SAS Visual Analytics
- Data exploration using interactive visual tools
- Creating dashboards for business intelligence and AI insights
- Working with multiple data sources and geo-maps
- Designing interactive, decision-ready reports
Outcome
Completion of this level enables learners to:
- Build and deploy machine learning models for real-world use cases
- Develop strong foundations for advanced artificial intelligence concepts in Level-2
- Qualify for machine learning certification exams aligned with industry standards
- Apply ML techniques across domains such as finance, marketing, and operations
Level 2: Artificial Intelligence (81.5 hours)
Artificial intelligence course in India with certificate and certifications. One of the best advanced online AI courses for beginners and working professionals, featuring a robust 81.5-hour duration syllabus covering deep learning, NLP, generative AI, agentic AI, and ModelOps for artificial engineer roles.
Curriculum
1. Cloud & AI Infrastructure Foundations
- Fundamentals of cloud computing for AI systems
- Distributed environments for scalable model training and deployment
2. Deep Learning for Artificial Intelligence
- Neural networks: ANN, CNN, RNN architectures
- Image, sequence, and time-series modelling
- Hyperparameter tuning and model optimisation
- Transfer learning techniques
3. Natural Language Processing & Text AI
- Tokenisation, vectorisation, and embeddings
- Topic modelling and document classification
- Sentiment analysis and text-based AI pipelines
- Building production-ready NLP systems
4. Generative AI & Large Language Models
- Foundations of Generative AI systems
- GANs and synthetic data generation (SMOTE)
- Large Language Models (LLMs) and transformer concepts
- BERT and text classification
- Retrieval-Augmented Generation (RAG)
5. Model Management & Deployment (ModelOps)
- Model lifecycle management and versioning
- Model monitoring and performance tracking
- Batch and real-time scoring pipelines
- Enterprise AI deployment workflows
6. Operational AI & Model Governance
- ModelOps vs DevOps in AI systems
- Risk management and governance frameworks
- Deploying and scaling AI models in production
7. Decision Intelligence & Automation
- Rule-based and model-driven decision systems
- AI-driven business workflow automation
- Real-time decisioning frameworks
8. Agentic AI & Autonomous Systems
- Designing agentic AI workflows using LLMs
- Orchestrating intelligent multi-step systems
- Integrating AI agents into enterprise applications
- Governance and monitoring of AI agents
9. Capstone Project (Industry-Integrated)
- End-to-end AI system development
- Combines ML, Deep Learning, Generative AI, and ModelOps
- Real-world datasets across domains like finance, marketing, and operations
- Demonstrates readiness for artificial intelligence engineering roles
Together, the program prepares learners for modern Artificial Engineering roles.
AI ML Certifications & Credentials
This AI and Machine Learning course prepares learners for the following globally recognised SAS certifications on AI & ML.
- SAS Certified Specialist: Machine Learning Using SAS Viya
- SAS Certified Specialist: Natural Language Processing and Computer Vision Using SAS Viya
- SAS Certified ModelOps Specialist
Learners also receive an SAS Academy Track Completion Certificate and SAS digital badges upon successful completion.
Learning Experience & Support
- Live weekend online classes
- 12-month eLearning access
- Session recordings for flexible revision
- Hands-on labs and project guidance
- Official SAS course material, assessments, and exam preparation resources.
“The AI and ML course reshaped how I approach data. Hands-on experience with SAS, machine learning techniques, and expert mentorship expanded my capabilities and opened doors to new career opportunities.”
— Mohammad Kazi
Apply Now
FREQUENTLY ASKED QUESTIONS (FAQS)
Have questions before getting started? Find answers below.
1. Is this program suitable for working professionals?
This online Artificial Intelligence and Machine Learning certification program is designed for working professionals, with weekend-only live online sessions that allow you to continue your job while building new skills.
All sessions are recorded, and you get 12 months of online eLearning access to revisit content at your own pace. The program is fully online, includes hands-on labs and project work, and is structured for learners managing full-time responsibilities.
2. Is this course suitable for beginners?
This live AI ML certificate course is suitable for beginners who are willing to start with foundational concepts in data, programming, and machine learning, and gradually build skills toward advanced AI topics.
The program follows a structured progression from statistics and machine learning to deep learning, Generative AI, Agentic AI, and ModelOps, supported by hands-on labs and a capstone project that simulates real business problems.
3. What makes this one of the best AI ML courses in India?
This online AI ML program is among the best in India as it builds production-ready AI skills through hands-on labs, model deployment, and a capstone project, covering the full lifecycle from ML to GenAI and ModelOps on the SAS Viya platform, with globally recognised certifications.
Most courses stop at model building. This Artificial Intelligence course goes further into deployment, monitoring, governance, and Agentic AI, and is taught by SAS instructors with real enterprise experience.
Read: SAS or Open-Source. What should you look for in an Artificial Intelligence course →
4. What certifications and credentials will I receive after completing this course?
This AI & ML certification course prepares you for globally recognised SAS certifications, including Machine Learning using SAS Viya, Natural Language Processing and Computer Vision, and ModelOps Specialist credentials, which you can earn by clearing SAS certification exams.
You will additionally receive an official SAS Academy Track Completion Certificate and SAS digital badges that validate your skills in AI, machine learning, and model deployment.
These digital badges are shareable, metadata-backed credentials that showcase your verified skills, training, and achievements to employers, helping you demonstrate credibility and connect with relevant job opportunities.
5. Do I need a technical background to join?
Basic familiarity with programming and statistics is recommended. A computer science degree is not required.
IT professionals, engineers, data analysts, and business professionals with some analytical background regularly complete this program. The curriculum starts from statistical foundations and builds from there.
If you are entirely new to programming and data, we recommend beginning with the SAS Academy Foundations track first.
6. What features make this an Advanced Artificial Intelligence course?
Unlike generic Artificial Intelligence courses, this Advanced Artificial Intelligence course designed to go beyond theory into real-world application.
This AI course covers the full AI lifecycle from machine learning and deep learning to Generative AI and ModelOps through a structured, mentor-led, online format.
This makes it a strong choice for beginners and working professionals looking to build practical, job-ready skills instead of just foundational knowledge.
7. Will this course enable me to become an AI Engineer?
This online Artificial Intelligence Engineer certificate course enables beginners and working professionals to develop machine learning and deep learning models, work with Generative AI and Agentic AI systems, and deploy models using ModelOps practices on enterprise platforms like SAS Viya.
This approach to building end-to-end AI systems (data → model → deployment) helps you build the core skills required for AI Engineer roles.
8. Why is this one of the best Artificial Intelligence courses in India?
This online SAS Academy program is considered one of the best AI courses in India as it builds full lifecycle Artificial Intelligence Engineer skills through a structured 6-month program, hands-on labs, and real-world projects.
The program develops practical capability on enterprise platforms like SAS Viya, covering how AI systems are designed, deployed, and managed in real environments, while preparing you for globally recognised certifications.
It is suitable for beginners and working professionals and provides a clear pathway to Artificial Intelligence Engineer roles, helping you transition from learning to real-world AI applications.
Read: Why this advanced program is among the best Artificial Intelligence courses in India →
9. Do you offer self-paced AI and ML eLearning courses?
For professionals who prefer flexible, on-demand learning, SAS offers structured self-paced AI and Machine Learning eLearning programs, as well as specialised courses focused on specific AI or ML domains.
These include certification preparation, hands-on lab access, and official course content delivered online.
Explore
10. What makes this one of the top ML courses in India?
This online SAS Academy program is recognised as one of the best machine learning courses in India because it builds applied machine learning skills through structured learning, hands-on labs, and real-world projects covering data preparation, model development, evaluation, and deployment.
The program also prepares you for globally recognised SAS certifications, along with digital badges and an official program certificate, while developing practical capability on the SAS Viya platform. It is suitable for beginners and working professionals and provides a clear pathway to Machine Learning Engineer roles.
Read: Why Enterprises Use SAS for Mission-Critical Analytics →
The SAS Advantage
SAS is a global leader in analytics and artificial intelligence, delivering enterprise-grade AI and data platforms used across industries worldwide.
- 80,000+ organisations globally use SAS software. 90% of Fortune 100 companies or their affiliates are SAS customers
- Recognised by leading analyst firms like Gartner, IDC, Forrester and many more for leadership in AI, Machine Learning, Decision Intelligence and Risk Analytics
- SAS technology powers analytics, fraud detection, risk management, marketing optimisation and AI-driven decision systems in production environments.
- SAS certifications validate applied, enterprise-aligned skills used in real-world AI deployment.


