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Read More →For learners in Vijayawada looking to enter the AI field, Uncodemy provides a 5–6 month live instructor-led Artificial Intelligence program that can be attended online. The course introduces Python before moving through Machine Learning, Deep Learning, NLP, Computer Vision, Generative AI, and essential LLM concepts. Uncodemy currently does not have a physical centre in Vijayawada, making live online classes the available option for local learners. Classroom sessions can also be attended at the Delhi or Noida centres. Fee: ₹24,500 + 18% GST, total ₹28,910. EMI starting from ₹4,818/month for 6 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
For Vijayawada learners building a career in AI, Uncodemy's Artificial Intelligence program provides practical learning in Python, machine learning, deep learning, NLP, computer vision and generative AI. After completing the training and career-readiness process, eligible learners may seek roles such as AI Engineer, Machine Learning Engineer, Deep Learning Engineer and other AI-related positions. Verified placement outcomes are updated regularly and are available at uncodemy.com/placement.
Artificial Intelligence refers to technologies that allow software systems to learn from information, interpret different types of input, and perform tasks with limited manual instructions. Its ecosystem includes machine learning, deep learning, natural language processing, and computer vision. AI can be found in search and recommendation systems, virtual assistants, security applications, medical image analysis, content-generation tools, and many other software products.
What does an AI engineer do? An AI engineer turns AI concepts into usable software solutions. Depending on the project, the role may include preparing data, engineering useful features, training machine learning or deep learning models, developing language and vision pipelines, integrating generative AI services, and deploying models for applications through APIs. Because the work combines coding with AI concepts, both practical programming and technical fundamentals are important.
Learners comparing these three Uncodemy programs will find some overlapping topics, but the training direction varies across each course. Here is a concise comparison of their focus and coverage.
| 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.
The 5–6 month Artificial Intelligence program gives Vijayawada learners access to 110+ live sessions covering more than 183 hours of structured instruction. Across 13 modules, the course starts with the fundamentals of AI and Python and gradually introduces mathematics, statistics, data preprocessing, machine learning, supervised and unsupervised learning, model evaluation, deep learning and neural networks. Learners then move into NLP, computer vision, generative AI, LLM fundamentals, AI-based applications and deployment. A 25-hour industry capstone forms the final practical component. Each stage includes hands-on exercises with relevant tools. Training for Vijayawada learners is delivered live online, with classroom learning available at the Delhi and Noida centres.
Who should join this course:
Eligibility: A graduate from any technical or non-technical discipline can join the program. Programming fundamentals are useful but not essential since Python begins in Module 2. Basic mathematical and statistical understanding is helpful for the ML modules, with supporting concepts covered in Module 3. A laptop with a stable internet connection is required for the practical portions of the training.
Upcoming live batches give Vijayawada learners the flexibility to choose a convenient learning schedule. Training takes place online with IST-based timings, including weekday and weekend options. A free demo class is available for learners who want to experience the sessions before joining, while hands-on practice remains part of the learning 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 | |
Vijayawada learners who successfully complete the entire 13-module Artificial Intelligence program, including its assignments and AI Projects & Industry Capstone, receive a Uncodemy program certificate. It documents the name of the training program, its duration, the tools included in the curriculum and the learner's completion date. The certificate is available for online verification at certificate.uncodemy.com.
Certification is connected to the practical activities completed throughout the training. Learners work on machine learning, deep learning, NLP and computer vision projects, perform data preprocessing exercises and undertake the 25-hour AI Projects & Industry Capstone. Their hands-on toolkit covers 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 operated by Uncodemy Edutech Pvt. Ltd. as a career-focused IT training institute with over 14 years of training experience. Its Delhi and Noida centres provide classroom learning, while live online sessions make instructor-led technology training accessible to learners across India, including Vijayawada.
Learners joining the Artificial Intelligence program study the complete process of developing AI solutions, beginning with data preprocessing and feature engineering and progressing to machine learning, deep learning, NLP, computer vision and GenAI applications. The curriculum also addresses model evaluation, optimization, API deployment and a 25-hour industry capstone project.
In addition to live technical sessions, the program includes practical assignments, project-based learning, interview preparation and career support. The career support policy defines the scope of this assistance, and the eligibility conditions are published before enrolment rather than after payment.
Learners from Vijayawada who want to explore related AI domains can also look at LLM Engineering, RAG Engineering, AI Security and Generative AI & Agentic AI courses for Vijayawada 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, the responsibility for teaching the batch is distinct from independent academic review. Trainers deliver the live lessons, whereas domain reviewers examine the syllabus separately to ensure that the technical material remains relevant and accurate. Mr. Upendra Kumar Tiwari reviews the technical content of this Data Science program as part of that separate review process.
The faculty working with the Delhi classroom batches also teach learners through the Noida and online formats. Prospective students can request to sit in on part of a live session if they would like to experience the teaching format before enrolling.
Uncodemy provides trainer and reviewer details openly, including their areas of expertise and professional backgrounds, helping learners learn more about the people associated with the course before joining.
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.
Vijayawada learners can develop a broad AI skill set with Uncodemy's instructor-led Artificial Intelligence program. The curriculum progresses through Python, machine learning, deep learning, NLP, computer vision and generative AI, supported by live online classes, practical labs and a 25-hour industry capstone. Career preparation is included alongside the technical training.
| 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 |
The course follows a 5–6 month learning schedule and provides 183+ hours through 110+ live sessions. Both weekday and weekend options are offered for learners with different routines.
Beginners can join without previous Python or ML experience. The program starts teaching Python in Module 2 and introduces the mathematics and statistics needed for machine learning in Module 3, so learners can build their foundation during the course.
The program covers 15 tools, including Python, NumPy, Pandas, Scikit-learn, Matplotlib, Seaborn, TensorFlow, Keras, PyTorch, OpenCV, Hugging Face, OpenAI APIs, Jupyter Notebook, Git/GitHub and FastAPI.
Yes. The syllabus includes 15 hours of Deep Learning & Neural Networks in Module 8, 12 hours of Natural Language Processing in Module 9, and 12 hours of Computer Vision & Image AI in Module 10.
Module 13 contains the 25-hour AI Projects & Industry Capstone. It is designed around practical project development, allowing learners to use AI and ML concepts in an end-to-end implementation.
The course is primarily delivered through live instructor-led classes, with 110+ sessions included in the program. Recordings are provided after sessions to support revision and repeated practice.
The stated fee is ₹24,500 plus 18% GST. This makes the total program fee ₹28,910. The fee structure is the same across the cities and available learning modes.
EMI begins from ₹4,818 per month for a 6-month period. The precise EMI arrangement depends on the financing or payment option applicable to the learner, including its eligibility conditions.
Yes. A demo can be attended before enrolment so that prospective students can understand the class format, trainer interaction and overall course approach before joining.
Dedicated Career & Placement Assistance includes support with resumes, LinkedIn profiles, portfolios, interview preparation and mock interviews, along with relevant opportunity sharing through the 850+ company network. This assistance does not guarantee a job offer.
₹4–8 LPA is an indicative market range sometimes associated with entry-level AI Engineer positions. A learner's actual result depends on their skills, project quality, interview performance, employer requirements and the job market at that time.
Indicative ranges 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 salaries are influenced by skills, experience, role, employer and market conditions.
Learners can prepare for roles such as AI Engineer, Machine Learning Engineer, Deep Learning Engineer, Computer Vision Engineer, NLP Engineer (Junior) and Generative AI Engineer.
Graduates from any technical or non-technical discipline may join the course. It is also intended for professionals shifting toward AI/ML, aspiring AI engineers and career changers interested in artificial intelligence.
No. Such figures should be treated as indicative information. They draw from Uncodemy's internal records and publicly available review-platform information, while individual outcomes can vary based on learner capability, experience, employer, location and market conditions.
No. Vijayawada learners can participate through Uncodemy's live online format. For learners who can travel, classroom batches are available at the Delhi (Laxmi Nagar/Shakarpur) and Noida (Sector 1) centres.
No. The certificate belongs to Uncodemy and is issued independently. It is not an official certification or affiliated credential of OpenAI, Google, Meta or any other vendor whose technology is discussed in the program.
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