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Read More →Uncodemy's Artificial Intelligence certification is delivered entirely through live online sessions for participants based in Visakhapatnam, spanning five to six months of instructor-led instruction. The syllabus encompasses Python, Machine Learning, Deep Learning, NLP, Computer Vision, as well as Generative AI and LLM principles. Since Uncodemy operates no physical branch within Visakhapatnam, the whole programme proceeds online — applicants preferring in-person classes may join the Delhi or Noida campuses. Tuition: ₹24,500 plus 18% GST, totalling ₹28,910. Instalment options beginning at ₹4,818 per month 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
Participants who complete Uncodemy's Artificial Intelligence syllabus acquire practical competence across Python, machine learning, deep learning, NLP, computer vision, and generative AI. Following instruction and career readiness preparation, qualified individuals may pursue positions such as AI Engineer, Machine Learning Engineer, Deep Learning Engineer and comparable designations. Placement data for Visakhapatnam candidates is refreshed periodically — authenticated results may be inspected at uncodemy.com/placement.
Artificial Intelligence represents the engineering pursuit of constructing systems capable of detecting regularities within data, conducting reasoning upon those regularities, and generating forecasts or determinations without bespoke programming for each individual case. Its foundational subdisciplines comprise machine learning, deep learning, natural language processing, and computer vision. AI technologies underpin recommendation platforms, conversational assistants, fraud identification mechanisms, diagnostic imaging instruments, and the generative AI applications interlaced throughout contemporary software.
What does an AI engineer do? During an ordinary working day, an AI engineer carries out feature preparation and data engineering, performs training and assessment of ML/DL models, assembles NLP or computer vision pipelines, embeds generative AI/LLM capabilities within applications, and dispatches models through APIs. The position resides at the junction of software engineering, statistical science, and domain familiarity — which explains why employers evaluate both programming aptitude and conceptual clarity throughout the hiring process.
There are certain similarities among the three Uncodemy programs, but they vary in their depth, scope, and areas of concentration. Their key differences are outlined in the comparison below.
| 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 runs for 5–6 months as a live online program, offering 110+ sessions conducted by instructors and over 183 hours of learning. The 13-part curriculum begins with essential AI knowledge and moves through Python, mathematics and statistics, data preprocessing, core machine learning, supervised and unsupervised approaches, model validation, deep learning, neural networks, NLP, computer vision, generative AI and LLM fundamentals, AI applications with deployment, and a final 25-hour industry capstone. Learners work with practical tools and activities throughout the course. For students based in Visakhapatnam, training remains completely live online, while an in-person alternative is available at Uncodemy's Delhi and Noida centres for learners able to travel.
Who should join this course:
Eligibility: Applicants who have completed graduation in any technical or non-technical field may take admission. Prior coding skills are beneficial, but they are not mandatory because Python is covered from Module 2 onward. A foundational knowledge of mathematics and statistics is helpful, and further required concepts are taught through Module 3. Practical training requires a laptop and a consistent internet connection.
Find a batch timing that matches your daily schedule. Live online sessions are conducted according to IST timings. Experience the course through a free demo class, or register for an upcoming weekday or weekend live batch — created for both students and professionals, with flexible hours and 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 | |
Upon finishing the 13-module Artificial Intelligence program along with all assignments and the AI Projects & Industry Capstone project, participants earn the Uncodemy Artificial Intelligence Program Certificate. The document carries the program title, duration of study, tools included in the training and the completion date. Its authenticity can be checked online at certificate.uncodemy.com, maintaining an official record of successful program completion.
The certificate is supported by the hands-on work performed during the course, including ML/DL/NLP/CV projects, data preprocessing practice and the 25-hour AI Projects & Industry Capstone project. Learners receive practical experience using 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-oriented technology training institute operated by Uncodemy Edutech Pvt. Ltd. With a training background spanning 14+ years, it conducts classroom programs from Delhi and Noida and also offers live online instruction across India, enabling learners from Visakhapatnam to study current technology skills with trainers.
Learners enrolled in the Artificial Intelligence program work across machine learning, deep learning, NLP, computer vision and Generative AI applications, in addition to completing a 25-hour industry capstone. The curriculum moves step by step through data preparation, feature development, AI model construction, performance evaluation, optimisation and deployment using APIs.
The program is supported by live teaching, practical tasks, project-based assignments, interview preparation and career-oriented guidance. The career support policy explains the coverage and applicable restrictions of this assistance, whereas the eligibility conditions are presented to prospective learners before enrolment and payment.
For learners from Visakhapatnam who want to pursue another specialisation, Uncodemy also provides LLM Engineering, RAG Engineering, AI Security and Generative AI & Agentic AI courses for Visakhapatnam and Andhra Pradesh 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
At Uncodemy, teaching and independent syllabus verification are treated as separate responsibilities. Course trainers deliver the live lessons, whereas domain reviewers examine the curriculum independently to check its technical accuracy and continued relevance. Mr. Upendra Kumar Tiwari serves as the technical reviewer for this Data Science program, creating an additional review point alongside the instructional process.
The faculty teaching learners from Visakhapatnam follow the same teaching support used for the Noida and online formats. Candidates who want to understand the teaching approach beforehand may request to sit in on a part of a live session.
Uncodemy openly provides information about its trainers and reviewers, covering their professional backgrounds and areas of expertise, giving prospective learners an opportunity to know the people associated with the course 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.
Register for Uncodemy's Artificial Intelligence programme crafted for Visakhapatnam participants today. Develop applied capability spanning 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. Launch your AI career trajectory 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 |
Participants complete the Artificial Intelligence training in approximately 5–6 months, covering 183+ hours through more than 110 live sessions. Batches are scheduled on both weekdays and weekends.
The course is designed for beginners, so previous exposure to Python or Machine Learning is not mandatory. Module 2 starts Python instruction, while Module 3 develops basic mathematics and statistics understanding. Any graduate can apply.
The program includes 15 tools and technologies: Python, NumPy, Pandas, Scikit-learn, Matplotlib, Seaborn, TensorFlow, Keras, PyTorch, OpenCV, Hugging Face, OpenAI APIs, Jupyter Notebook, Git/GitHub and FastAPI.
Yes. Module 8 provides 15 hours on Deep Learning & Neural Networks, Module 9 contains 12 hours of Natural Language Processing, and Module 10 includes 12 hours dedicated to Computer Vision & Image AI.
The practical capstone appears in Module 13 as AI Projects & Industry Capstone and spans 25 hours. The project is designed around an end-to-end implementation where learners use ML/DL, deployment and real-world problem-solving skills together.
All 110+ sessions are delivered live by instructors. Recordings are made available after the classes as a revision resource.
The course carries a base fee of ₹24,500. Adding 18% GST brings the total to ₹28,910, and the same stated pricing applies across the available modes and cities.
EMI begins at ₹4,818 per month when spread over 6 months. The precise tenure, amount and eligibility are subject to the payment or financing option selected and can be checked with a counsellor.
Prospective learners can join a demo class before enrolment. The session lets them observe the training approach, interact with the trainer and go through the course curriculum before deciding. Demo booking is available through contact with us.
Career support includes resume preparation, LinkedIn optimisation, portfolio assessment, interview preparation, mock interviews and opportunity sharing through a network of 850+ companies under Dedicated Career & Placement Assistance. The support does not guarantee a job.
An indicative range for an entry-level AI Engineer role is ₹4–8 LPA. Actual career outcomes are influenced by individual skills, prior experience, the employer and market conditions. Uncodemy does not guarantee employment or a particular package.
Indicative market figures are: 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; and AI Solutions Architect ₹20–35 LPA. Actual offers can vary based on role, skills, experience, employer and market conditions, and no specific salary is assured.
Relevant career options include AI Engineer, Machine Learning Engineer, Deep Learning Engineer, Computer Vision Engineer, NLP Engineer at junior level and Generative AI Engineer.
Applicants may include graduates from technical or non-technical streams, working professionals planning an AI/ML transition, aspiring AI engineers and people changing careers into artificial intelligence.
The published statistics use Uncodemy's internal records and publicly available review-platform information. Results are not uniform and may change with learner skills, experience, location, employer and market conditions. Career assistance is not a guarantee of a job or a defined salary.
Visakhapatnam does not have a listed Uncodemy classroom centre for this program. Learners from Visakhapatnam attend live online classes, while classroom training is available in Delhi (Laxmi Nagar/Shakarpur) and Noida (Sector 1) for learners who can travel.
No. The certificate is issued independently by Uncodemy and does not represent an affiliation, endorsement or credential from OpenAI, Google, Meta or any other AI vendor whose technologies are taught.
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