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Read More →Uncodemy makes available this Artificial Intelligence certification purely through live online teaching for learners residing in Surat, distributed across a five-to-six-month instructor-steered calendar. The coursework winds through Python, Machine Learning, Deep Learning, NLP, Computer Vision, as well as Generative AI and LLM groundwork. Because Uncodemy keeps no office inside Surat, every lesson is conducted online — candidates who favour traditional classroom arrangements may register at the Delhi or Noida campuses. Course cost: ₹24,500 plus 18% GST, rising to ₹28,910 overall. Monthly instalment schemes start at ₹4,818 across six months*.
Learn from 8+ years experienced professionals
Build real artificial intelligence test suites, not just theory
Get lifetime access to recorded sessions & materials
Resume Building, Mock Interviews & Job Support
Certificate of Completion from Uncodemy
Weekday & Weekend Online & Offline
Completion of the Uncodemy Data Science program gives every learner a strong working command of Python, SQL, Machine Learning, Statistics, Data Visualization (Power BI/Tableau), and Agile; after the training and career-preparation modules are completed, candidates who are eligible may explore roles such as Data Analyst, Data Scientist, and Business Intelligence Analyst.
Placed at:Makeo
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Placed at:Capgemini
Placed at:Allsoft Solutions
Placed at:Vitraya Technologies
Placed at:PwC
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Placed at:Anaptyss
Placed at:Iris Software
Placed at:Iris Software
Artificial Intelligence is the engineering undertaking devoted to crafting machines that can pick up patterns inside data, carry out reasoning upon those detected patterns, and yield forecasts or calls without explicit code authored for every imaginable case. Machine learning, deep learning, natural language processing, and computer vision constitute its core sub-disciplines. AI-backed systems run beneath recommendation feeds, voice assistants, fraud-detection engines, medical imaging instruments, and the generative AI tools stitched across present-day software.
What does an AI engineer do? Through the arc of a typical working day, an AI engineer handles data-feature preparation and engineering, executes training plus evaluation of ML/DL models, builds NLP or computer vision pipelines, folds generative AI/LLM capabilities into applications, and ships models through APIs. This function lives at the crossroads of software engineering, statistical reasoning, and domain literacy — which is precisely why recruiters evaluate both programming skill and conceptual sharpness in the hiring process.
The three Uncodemy programs contain several shared elements, but their depth and intended focus vary across the courses. A side-by-side overview is given below to distinguish them.
| Aspect | Artificial Intelligence | LLM Engineering | RAG Engineering |
|---|---|---|---|
| Core focus | Broad foundation across ML, DL, NLP, CV and GenAI | Building, fine-tuning & deploying LLM-powered applications | Building retrieval-grounded AI systems on enterprise knowledge |
| Coding depth | High | High | High |
| Typical entry salary | ₹4–8 LPA (Entry-Level AI Engineer, per this sheet) | ₹6–10 LPA (per LLM Engineering course sheet) | ₹5–9 LPA (per RAG Engineering course sheet) |
| Uncodemy program duration | 5–6 months | 5–6 months | 5–6 months |
Salary ranges are indicative and vary by role, skills, experience, location and employer.
Uncodemy's Artificial Intelligence course is a 5–6 month live online training offering that includes 110+ sessions conducted by trainers and 183+ hours of learning. The 13-module pathway starts with the fundamentals of AI and advances through Python, mathematics and statistics, data preprocessing, essential machine learning concepts, supervised and unsupervised techniques, model evaluation, deep learning, neural networks, NLP, computer vision, generative AI and LLM fundamentals, AI applications and deployment, and a final 25-hour industry capstone assignment. Practical work with real-world tools is integrated throughout the modules. For learners from Surat, instruction is provided entirely through live online classes, with the option of attending classroom training at Uncodemy's Delhi and Noida centres for learners who can travel.
Who should join this course:
Eligibility: Graduation in any technical or non-technical field is acceptable for joining the course. Familiarity with coding can be an advantage, but candidates do not need previous programming experience because Python is covered beginning with Module 2. A basic grasp of mathematics and statistics is beneficial, and further relevant learning is provided in Module 3. Learners must have a laptop and a stable internet connection for practical classes.
Go with a batch timing that aligns with your preferred schedule. Our live online classes operate on IST timings. You may first attend a free demo session, or join the upcoming weekday or weekend live batches — thoughtfully arranged for working professionals and students, offering flexible timings along with practical training.
| Date | Time | Trainer | Seats Left |
|---|---|---|---|
| 16Oct | 07:30 PM – 08:30 PM | Mr. Irshad | 01Seat |
| 22Oct | 02:00 PM – 03:00 PM | Mr. Upendra Kumar Tiwari | 02Seats |
| 26Oct | 10:30 AM – 11:30 AM | Mr. Irshad | 01Seat |
| 30Oct | 12:00 PM – 01:00 PM | Mr. Upendra Kumar Tiwari | 02Seats |
| Date | Time | Trainer | Seats Left |
|---|---|---|---|
| 27Oct | 03:00 PM – 05:00 PM | Mr. Irshad | 02Seats |
8+ new batches start every month. Live online batches, IST timings. Seats are limited and updated daily.
The syllabus is organised into 13 modules covering 183+ hours . The order follows how AI skills build: foundations → Python → math/stats → data preprocessing → ML fundamentals → supervised/unsupervised learning → model evaluation → deep learning → NLP → computer vision → GenAI/LLM fundamentals → deployment → industry capstone. Each module includes practical exercises with real tools, and the program closes with hands-on AI projects and an industry capstone.
| # | Module | Hours | Tools |
|---|---|---|---|
| 1 | Artificial Intelligence Fundamentals | 10 | Python, Jupyter Notebook |
| 2 | Python for Artificial Intelligence | 15 | Python, Jupyter Notebook, Git/GitHub |
| 3 | Mathematics & Statistics for AI | 12 | Python, NumPy, SciPy |
| 4 | Data Preprocessing & Feature Engineering | 12 | Pandas, NumPy, Matplotlib, Seaborn |
| 5 | Machine Learning Fundamentals | 15 | Scikit-learn, Pandas |
| 6 | Supervised & Unsupervised Learning | 15 | Scikit-learn, Matplotlib |
| 7 | Model Evaluation & Optimization | 10 | Scikit-learn, Seaborn |
| 8 | Deep Learning & Neural Networks | 15 | TensorFlow, Keras, PyTorch |
| 9 | Natural Language Processing (NLP) | 12 | NLTK, spaCy, Hugging Face |
| 10 | Computer Vision & Image AI | 12 | OpenCV, PyTorch, TensorFlow |
| 11 | Generative AI & LLM Fundamentals | 15 | OpenAI APIs, Hugging Face |
| 12 | AI Applications, APIs & Deployment | 15 | FastAPI, Docker, Git/GitHub |
| 13 | AI Projects & Industry Capstone | 25 | All tools |
| Total | 183 Hours | 15+ tools | |
Learners are awarded the Uncodemy Artificial Intelligence Program Certificate after meeting the completion requirements for all 13 modules, assignments and the AI Projects & Industry Capstone project. The certificate contains the course name, program duration, tools included in the curriculum and the final completion date. It is digitally verifiable at certificate.uncodemy.com and records the successful completion of the Uncodemy Artificial Intelligence program.
Practical course participation is reflected through the work completed for the certification, covering ML/DL/NLP/CV projects, data preprocessing assignments and the 25-hour AI Projects & Industry Capstone project. The training provides hands-on use of Python, NumPy, Pandas, Scikit-learn, Matplotlib, Seaborn, TensorFlow, Keras, PyTorch, OpenCV, Hugging Face, OpenAI APIs, Jupyter Notebook, Git/GitHub and FastAPI.
This is an independent Uncodemy certificate. It is not affiliated with, endorsed by, or a credential of OpenAI, Google, Meta, or any other AI vendor whose frameworks and tools are studied in this course.
Uncodemy Certificate Verification Online Certificate Verification & Download certificate.uncodemy.com_2.webp)
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Python
NumPy
Pandas
Scikit-learn
Matplotlib
Seaborn
TensorFlow
Keras
PyTorch
OpenCV
Hugging Face
OpenAI APIs
Jupyter Notebook
Git/GitHub
FastAPI
Uncodemy is a career-focused IT training organisation functioning under Uncodemy Edutech Pvt. Ltd. With an experience of more than 14 years in technology training, it operates physical centres in Delhi and Noida and conducts live online classes for learners throughout India, including those based in Surat.
Through its Artificial Intelligence program, participants learn to create machine learning and deep learning solutions, work with NLP and computer vision, develop GenAI-powered applications and complete a 25-hour industry capstone. The curriculum takes learners across the AI workflow, starting with data handling and feature engineering and continuing through model development, evaluation, optimisation and API deployment.
Live instruction is combined with practical exercises, real-project learning, interview preparation and career-oriented guidance. The career support policy describes the extent of the assistance and its limitations, while the eligibility conditions are disclosed before enrolment, rather than after the learner has made a payment.
Surat learners looking for an alternative specialisation can also explore Uncodemy's LLM Engineering, RAG Engineering, AI Security and Generative AI & Agentic AI programs for Surat and Gujarat learners.
Portfolio/capstone project review:Your hands-on ML/DL/NLP/CV work and industry capstone are reviewed and refined into a portfolio an interview will find credible.
Resume & LinkedIn:We build your resume around AI/ML keywords and measurable outcomes, and align your LinkedIn profile to match.
Interview preparation:ML/DL concept questions, coding rounds, case-study discussions and AI-specific interview scenarios.
Mock interviews:Sessions with industry trainers, followed by written feedback on what to fix.
Opportunity sharing:Relevant openings from our hiring network of 850+ companies are shared with you, with support through the application and interview process.
Continued support:This is active assistance, not a guarantee of employment — no training institute can honestly promise a job. Support continues after your program ends for learners who stay engaged with the process.
The people who actually teach this course
Uncodemy keeps live instruction and independent curriculum review as two distinct functions. Trainers teach the scheduled classes, while domain reviewers independently examine the course syllabus to confirm that the content remains accurate and aligned with current requirements. Mr. Upendra Kumar Tiwari reviews the technical material included in this Data Science program, serving as an additional quality checkpoint separate from classroom delivery.
Participants based in Surat are taught through the same faculty support system used for the Noida and online formats. Learners who wish to evaluate the teaching experience beforehand can request to attend a section of a live class.
Uncodemy openly shares information about its trainers and reviewers, including their areas of specialization and professional backgrounds, helping prospective learners understand the professionals connected with the program before they enrol.
Senior Data Science Trainer
Expertise15+ years of industry experience building production machine learning systems for retail, telecom and consulting teams.
Modelling security breaches in iOS apps, dormant customer prediction and factor analysis, last-mile delivery optimisation, and credit card fraud detection.
Data Analytics & AI Trainer
ExpertisePython · SQL · Machine Learning · Tableau · Artificial Intelligence · Deep Learning · Power BI · MLOps
8+ years across consulting and public-sector analytics, with deep hands-on work in AI and MLOps delivery.
Built an OCR model, a disease-prediction model, and a fraud-control model deployed across every Indian state under the Ministry of Health & Welfare.
Data Analytics & AI Trainer
ExpertisePython · ML · DL · NLP · Power BI · Tableau · SPSS · SAS · MS-Excel · SQL · HTML · CSS
7+ years turning aviation and enterprise data into forecasting models, dashboards and AI assistants.
AI agent chat/voice bot, AI-driven data analysis, a sales-forecasting ML model, NPS data model evaluation, and a face-recognition model for biometrics.
Data Analytics Trainer
ExpertisePython · SQL · Excel · Power BI · Tableau · ML · DL · NLP · Time Series · IoT Devices · Prompt Engineering · Chatbots
5+ years in logistics and consumer-brand analytics, with a strong focus on time series, NLP and applied automation.
Speech-to-text using core NLP (T2S), talent acquisition research, and product launch & CMS work on keventers.com using Sparktech.
Data Analytics Trainer
ExpertiseAdvanced Excel · SQL · Power BI · Tableau · Python · Data Visualisation · Statistics
Trainer for the analytics and business intelligence track at Uncodemy, working with learners on Excel, SQL and BI tooling from first principles to interview-ready projects.
Guides classroom capstones on sales and customer dashboards, KPI reporting and end-to-end data cleaning workflows.
Data Analytics Trainer
Expertise
Data Analytics Trainer
Expertise
MD & CEO
ExpertiseFounder, MD & CEO of Uncodemy and GS Net Academy, with experience in education, technology leadership, research, mentorship and career development.
Leads strategic direction, academic initiatives, technology-driven education programs and mentorship across Uncodemy and GS Net Academy.
CEO & Founder
ExpertiseCEO & Founder of GvCloud Secure and Uncodemy with 14+ years of professional experience building scalable web, mobile and AI-driven solutions for clients across India, USA, UK, Canada, Australia and Singapore.
Leads technology strategy, scalable web and mobile solutions, AI-driven products and EdTech initiatives across Uncodemy and GvCloud Secure.
Lock in your place in Uncodemy's Artificial Intelligence programme crafted for Surat participants today. Build applied proficiency across Python, machine learning, deep learning, NLP, computer vision and generative AI through instructor-guided live online sessions, hands-on laboratories and a 25-hour industry capstone. Kickstart your AI career path with methodical instruction and committed career preparation.
| Role | Core Tools |
|---|---|
| AI Engineer | Python, Scikit-learn, TensorFlow |
| Machine Learning Engineer | Python, Scikit-learn, Pandas, NumPy |
| Deep Learning Engineer | TensorFlow, Keras, PyTorch |
| Computer Vision Engineer | OpenCV, PyTorch, TensorFlow |
| NLP Engineer (Junior) | NLTK, spaCy, Hugging Face |
| Generative AI Engineer | OpenAI APIs, Hugging Face, LangChain |
| Role | Salary Range |
|---|---|
| Entry-Level AI Engineer | ₹4–8 LPA |
| Machine Learning Engineer | ₹6–12 LPA |
| AI/ML Engineer | ₹8–16 LPA |
| Deep Learning Engineer | ₹8–18 LPA |
| Generative AI Engineer | ₹8–18 LPA |
| Computer Vision Engineer | ₹7–16 LPA |
| Senior AI Engineer | ₹15–28 LPA |
| AI Solutions Architect | ₹20–35 LPA |
| Factor | This Program |
|---|---|
| Duration | 5–6 months |
| Learning hours | 183+ |
| Live sessions | 110+ |
| Tools | 15+ |
| Capstone | 25-hour Industry project |
| Career support | Dedicated Career & Placement Assistance |
| If you want... | Recommend |
|---|---|
| Broad AI/ML career transition covering ML, DL, NLP, CV and GenAI | This program |
| Already know GenAI/LLM basics, want ML/DL fundamentals too | This program |
| Narrow LLM application development only | Consider LLM Engineering course instead |
| Narrow retrieval-system specialisation | Consider RAG Engineering course instead |
Uncodemy
An end-to-end AI project that builds a content-based and collaborative filtering recommendation engine using Python, Pandas and Scikit-learn. It includes data cleaning, feature engineering, similarity calculation and an interactive recommendation interface.
Python
Pandas
Jupyter Notebook
GitHub
Uncodemy
A complete machine learning project that detects fraudulent credit card transactions using classification algorithms. It covers data imbalance handling, feature selection, model training, evaluation metrics and real-time fraud prediction pipeline.
Python
Pandas
Jupyter Notebook
SQL
Uncodemy
A predictive analytics project that forecasts employee attrition using machine learning models. It includes exploratory data analysis, feature engineering, model building, hyperparameter tuning and actionable HR insights for reducing attrition.
Python
Pandas
Jupyter Notebook
GitHub
Uncodemy
An advanced agentic AI project that autonomously researches topics, gathers information from multiple sources, summarizes findings and generates structured research reports using large language models and tool calling.
Python
Jupyter Notebook
GitHub
SQL
Uncodemy
An intelligent AI-powered interview agent that conducts technical interviews, evaluates candidate responses in real time, provides feedback scores and generates detailed performance reports using natural language processing and LLMs.
Python
Pandas
Jupyter Notebook
GitHub
Uncodemy
An end-to-end regression project that predicts house prices using advanced machine learning techniques. It covers data preprocessing, feature engineering, model selection, evaluation and deployment-ready prediction pipeline.
Python
Pandas
Jupyter Notebook
SQL
Uncodemy
A comprehensive healthcare analytics project that explores patient data, disease trends, treatment outcomes and hospital performance using Python, SQL and advanced visualization techniques to generate actionable medical insights.
Python
Pandas
Jupyter Notebook
GitHub
Uncodemy
A complete end-to-end recommendation system project that combines collaborative filtering and content-based techniques to suggest personalized movies. Built with Python, Pandas and machine learning algorithms for accurate user preference matching.
Python
Pandas
Jupyter Notebook
GitHub
Uncodemy
A natural language processing project that classifies emails as spam or non-spam using TF-IDF vectorization and machine learning classifiers. It includes text preprocessing, feature extraction, model comparison and evaluation using accuracy, precision and recall.
Python
Pandas
Jupyter Notebook
GitHub
Uncodemy
A hands-on LLM engineering project covering large language model integration, prompt design, embedding-based retrieval and deployment through an API. It focuses on building production-ready LLM pipelines with evaluation and monitoring.
Python
LangChain
OpenAI API
GitHub
Uncodemy
A generative AI application that uses large language models and prompt engineering to deliver domain-specific conversational experiences. It includes vector search, context management and API-based deployment for real-world business use cases.
Python
OpenAI API
LangChain
GitHub
Uncodemy
An AI-powered customer support agent that handles user queries, retrieves answers from a knowledge base and escalates complex issues. Built with LLM APIs, prompt engineering and retrieval-augmented generation for accurate, context-aware responses.
Python
OpenAI API
LangChain
GitHub
Uncodemy
An AI-driven question-answering agent that responds to user queries using LLMs and retrieval-augmented generation. It includes document ingestion, vector search and prompt optimization to deliver accurate, grounded answers.
Python
OpenAI API
LangChain
GitHub
Uncodemy
A conversational shopping assistant powered by LLMs that helps users discover products, compare options and get personalized recommendations. Built with prompt engineering, vector search and API integration for a smooth e-commerce experience.
Python
OpenAI API
LangChain
GitHub
The Artificial Intelligence program is completed over a 5–6 month period and includes 183+ hours of learning through 110+ live sessions. Learners can choose between weekday and weekend batches.
Applicants do not need previous Python or Machine Learning experience. Python is taught beginning in Module 2, and Module 3 covers the basic mathematics and statistics foundation. A graduate degree in any discipline satisfies the stated requirement.
Fifteen tools are part of the course, covering Python, NumPy, Pandas, Scikit-learn, Matplotlib, Seaborn, TensorFlow, Keras, PyTorch, OpenCV, Hugging Face, OpenAI APIs, Jupyter Notebook, Git/GitHub and FastAPI.
Yes. The syllabus covers Deep Learning & Neural Networks for 15 hours in Module 8, Natural Language Processing for 12 hours in Module 9, and Computer Vision & Image AI for 12 hours in Module 10.
The industry capstone is Module 13 and contains 25 hours of AI Projects & Industry Capstone work. The learner develops an end-to-end project that combines ML/DL concepts with deployment and practical problem-solving.
The course is conducted through live, instructor-led teaching across 110+ sessions. Recordings are supplied after the classes for students who want to revise the material.
The program fee is ₹24,500 before 18% GST. Once GST is added, the total payable amount is ₹28,910. The stated fee applies consistently across cities and modes.
EMI can start from ₹4,818 per month when arranged for 6 months. Exact financing terms, including eligibility and tenure, depend on the applicable payment option and can be clarified by a counsellor.
A demo class is available for prospective students. It provides an opportunity to experience the teaching style, meet the trainer and inspect the curriculum before enrolment. Contact us to arrange the demo.
Dedicated Career & Placement Assistance covers resume creation, LinkedIn optimisation, portfolio feedback, interview preparation, mock interview practice and opportunity sharing via an 850+ company network. It does not provide a guarantee of employment.
The indicative range for entry-level AI Engineer positions is ₹4–8 LPA. Individual salary and employment outcomes depend on skills, experience, employer and market conditions, so Uncodemy does not guarantee a specific result.
Indicative market ranges are ₹4–8 LPA for Entry-Level AI Engineer, ₹6–12 LPA for Machine Learning Engineer, ₹8–16 LPA for AI/ML Engineer, ₹8–18 LPA for Deep Learning Engineer, ₹8–18 LPA for Generative AI Engineer, ₹7–16 LPA for Computer Vision Engineer, ₹15–28 LPA for Senior AI Engineer and ₹20–35 LPA for AI Solutions Architect. Actual offers may vary according to role, skills, experience, employer and market conditions. Uncodemy does not assure any particular salary.
Possible roles after the program include AI Engineer, Machine Learning Engineer, Deep Learning Engineer, Computer Vision Engineer, Junior NLP Engineer and Generative AI Engineer.
Eligible learners can be graduates from technical or non-technical fields, working professionals transitioning into AI/ML, aspiring AI engineers and career changers looking to enter artificial intelligence.
The statistics are sourced from Uncodemy's internal records and publicly available review-platform information. Results can vary according to skills, experience, location, employer and market conditions. Placement and career assistance should not be treated as a guarantee of employment or a fixed salary.
There is no listed Uncodemy classroom centre in Surat for this program. Surat learners participate through live online classes. The physical training centres are in Delhi (Laxmi Nagar/Shakarpur) and Noida (Sector 1), for learners who can travel.
No. The certificate is an independent Uncodemy credential and has no affiliation with, endorsement by, or credential relationship with OpenAI, Google, Meta or any other AI vendor whose tools and frameworks are included in the course.
4.7/5 (500+)
5/5 (30+)
4.7/5 (500+)
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4/5 (130+)
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