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Read More →Uncodemy supplies this Artificial Intelligence certification purely by way of live online tuition for learners stationed in Vadodara, delivered across a five-to-six-month instructor-driven schedule. The syllabus threads through Python, Machine Learning, Deep Learning, NLP, Computer Vision, and Generative AI alongside LLM underpinnings. Given that Uncodemy holds no premises within Vadodara, every session proceeds online — those favouring traditional classroom settings may enrol at the Delhi or Noida facilities. Course fee: ₹24,500 plus 18% GST, amounting to ₹28,910 in total. Monthly instalment arrangements commence 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
Graduates of Uncodemy's Artificial Intelligence curriculum acquire applied capability across Python, machine learning, deep learning, NLP, computer vision, and generative AI. Having concluded both tuition and career-readiness preparation, suitable candidates can aim for positions such as AI Engineer, Machine Learning Engineer, Deep Learning Engineer and adjacent roles. Placement figures for Vadodara learners undergo regular refreshment — authenticated results are accessible at uncodemy.com/placement.
Artificial Intelligence concerns the engineering pursuit of devising machines able to spot patterns embedded in data, apply reasoning upon spotted patterns, and furnish predictions or verdicts absent hand-crafted programming for every conceivable scenario. Machine learning, deep learning, natural language processing, and computer vision stand as its principal subdomains. AI-powered systems sit behind recommendation engines, conversational assistants, fraud-identification mechanisms, medical imaging tools, and the generative AI utilities threaded through modern software.
What does an AI engineer do? Over the span of an average working day, an AI engineer handles data-feature preparation and engineering, carries out training and appraisal of ML/DL models, assembles NLP or computer vision pipelines, embeds generative AI/LLM functionality into applications, and dispatches models through APIs. The role occupies the meeting point of software engineering, statistical science, and domain literacy — which is precisely why hiring teams weigh both coding capability and conceptual grounding during recruitment.
Some portions of these three Uncodemy programs are similar, though each program differs in its extent of coverage and main area of focus. The comparison below makes these variations easier to see.
| 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 offered as a 5–6 month live virtual training program with 110+ sessions led by instructors and 183+ total learning hours. The 13-module curriculum guides learners from introductory AI concepts through Python, mathematics and statistics, data preprocessing, machine learning fundamentals, supervised and unsupervised methods, model performance evaluation, deep learning, neural networks, NLP, computer vision, generative AI and LLM fundamentals, AI application development and deployment, before moving to a 25-hour industry capstone. Practical exercises involving real tools are provided throughout the learning journey. For Vadodara learners, the course is available completely live online, and students who are able to travel can additionally attend classroom training at Uncodemy's Delhi and Noida centres.
Who should join this course:
Eligibility: Students who have graduated from a technical or non-technical background can join the program. Previous programming knowledge is useful but remains optional, as Python is introduced in Module 2. Basic knowledge of mathematics and statistics can support learning, while the relevant concepts are taught in greater detail in Module 3. A laptop and steady internet access are essential for completing practical training activities.
Decide on a batch schedule that fits around your commitments. Live online sessions are conducted using IST timings. Get a first-hand feel of the classes through a free demo, or enrol in the next weekday or weekend live batch — developed for students and working professionals with convenient timings and hands-on experience.
| 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 | |
Successful completion of the full 13-module curriculum, its assignments and the AI Projects & Industry Capstone project leads to the Uncodemy Artificial Intelligence Program Certificate. The credential outlines the program title, course duration, technologies included and the date of completion. It remains available for verification at certificate.uncodemy.com and serves as a formal record that the Uncodemy Artificial Intelligence program has been completed.
The certificate represents the practical training completed as part of the program, including ML/DL/NLP/CV projects, data preprocessing activities and the 25-hour AI Projects & Industry Capstone project. As part of these practical sessions, learners work with 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
Operating through Uncodemy Edutech Pvt. Ltd., Uncodemy offers career-oriented IT education backed by more than 14 years of training experience. Its learning centres in Delhi and Noida are complemented by live online instructor-led classes across India, allowing students from Vadodara to learn modern technology subjects remotely.
The Artificial Intelligence training provides practical learning in machine learning, deep learning, NLP, computer vision and Generative AI applications, along with a 25-hour industry capstone project. Its learning sequence covers data preparation, feature engineering, model creation, performance assessment, optimisation and API deployment as parts of the wider AI development process.
Uncodemy further supports learners through live trainer sessions, practical assignments, project-driven learning, interview preparation and career guidance. The career support policy explains the specific scope and limitations of these services, while the eligibility conditions are provided before enrolment instead of being disclosed after payment.
Learners from Vadodara seeking another area of study can also review Uncodemy's LLM Engineering, RAG Engineering, AI Security and Generative AI & Agentic AI programs available for Vadodara 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 distinguishes between the faculty responsible for teaching and specialists responsible for reviewing the academic content. Trainers conduct the live instructional sessions, while domain reviewers independently inspect the syllabus to maintain its technical correctness and relevance. Mr. Upendra Kumar Tiwari is the technical reviewer for this Data Science program, adding an independent verification stage to the course structure.
The teaching team serving learners in Vadodara follows the same faculty support provided through the Noida and online formats. Students who are interested in joining may request access to observe part of a live session before enrolling.
Details concerning the trainers and reviewers are made publicly available by Uncodemy, including their professional backgrounds and specialist knowledge, enabling prospective students to learn more about the individuals associated with the program.
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.
Book your seat in Uncodemy's Artificial Intelligence programme crafted for Vadodara participants today. Cultivate hands-on proficiency across Python, machine learning, deep learning, NLP, computer vision and generative AI through instructor-guided live online sessions, practical laboratories and a 25-hour industry capstone. Commence your AI career path with methodical training 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 |
Students complete the Artificial Intelligence course over roughly 5–6 months, with 183+ hours of learning delivered in 110+ live sessions. Weekday and weekend batch schedules are available.
Python and Machine Learning experience is not a compulsory entry requirement. Module 2 introduces Python, while Module 3 develops the basic maths and statistics needed for later topics. Graduation in any field is sufficient.
The curriculum includes 15 named tools: Python, NumPy, Pandas, Scikit-learn, Matplotlib, Seaborn, TensorFlow, Keras, PyTorch, OpenCV, Hugging Face, OpenAI APIs, Jupyter Notebook, Git/GitHub and FastAPI.
These topics are covered in dedicated modules. Module 8 spends 15 hours on Deep Learning & Neural Networks, Module 9 provides 12 hours for Natural Language Processing, and Module 10 gives 12 hours to Computer Vision & Image AI.
The capstone is included as Module 13, AI Projects & Industry Capstone, with 25 hours assigned. Learners work toward a complete AI project using ML/DL principles, deployment methods and real-world problem-solving.
The program uses live instruction for all 110+ sessions. Class recordings are made available afterwards and can be used for revision.
The listed fee is ₹24,500 plus 18% GST, resulting in ₹28,910 in total. The same fee structure is stated for all modes and cities.
EMI is available from ₹4,818 per month over 6 months. The exact monthly figure, repayment duration and eligibility are dependent on the relevant financing or payment facility and should be confirmed with a counsellor.
Yes. Learners can attend a demo before enrolment to observe the teaching approach, meet the trainer and look over the curriculum. A demo can be booked by contacting us.
Dedicated Career & Placement Assistance includes support with resumes, LinkedIn optimisation, portfolio review, interview preparation and mock interviews, plus opportunity sharing through a network of 850+ companies. There is no employment guarantee.
An entry-level AI Engineer role is associated with an indicative ₹4–8 LPA market range. Actual outcomes differ according to skills, experience, employer and market conditions, and Uncodemy does not guarantee employment or a specific package.
The indicative salary 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. Offers can differ depending on role, skills, experience, employer and market conditions; Uncodemy does not guarantee a specific salary.
Potential positions include AI Engineer, Machine Learning Engineer, Deep Learning Engineer, Computer Vision Engineer, Junior NLP Engineer and Generative AI Engineer.
The eligibility profile includes graduates from both technical and non-technical disciplines, professionals changing into AI/ML roles, aspiring AI engineers and career changers entering artificial intelligence.
The figures are based on Uncodemy internal records along with publicly available review-platform information. Placement and salary outcomes are influenced by the learner's skills, experience and location, plus employer and market conditions. Career assistance is not a guarantee of a job or a particular salary package.
Vadodara does not have a listed classroom centre for this course. Learners in Vadodara can join live online classes. Classroom training is available in Delhi (Laxmi Nagar/Shakarpur) and Noida (Sector 1) for learners who are able to travel.
The Artificial Intelligence certificate is an independent certificate issued by Uncodemy. It is not affiliated with, endorsed by or issued as a credential by OpenAI, Google, Meta or other AI vendors whose tools and frameworks are studied.
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