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Home› Courses› Artificial Intelligence Course
🧠 Complete AI Programme 📍 Dilsukhnagar, Hyderabad ✅ Certificate on Completion

Artificial Intelligence Course

The most comprehensive Artificial Intelligence course in Hyderabad — covering the full AI spectrum from Machine Learning and Deep Learning to Computer Vision, NLP, Reinforcement Learning and Generative AI. Taught by active MNC AI professionals who use these systems in production every day.

⏱
DURATION
10 Weeks
🎯
LEVEL
Beginner to Advanced
💻
MODE
Online · Offline · Hybrid
🏆
CERTIFICATE
Industry Certificate

Tools & Technologies You Will Learn

Python TensorFlow PyTorch Scikit-learn OpenCV NLTK SpaCy Hugging Face Gym (RL) LangChain OpenAI API Claude API
Enroll on WhatsApp → View Curriculum
Artificial Intelligence Course at LearnAI Tech Hub 🧠
Free Demo Available
Contact us for current batch fees & EMI options
  • ⏱ Duration: 10 Weeks
  • 🎯 Level: Beginner to Advanced
  • 💻 Online · Offline · Hybrid
  • 🏆 Certificate on completion
  • 💼 100% placement assistance
  • 📁 Real project + internship
  • 🔁 Lifetime access to recordings
  • 📞 Mentor support throughout
Enroll Now on WhatsApp Book Free Demo Class Call: +91 93900 23585

Free career counselling available daily · No pressure, just honest advice

About This Course

Artificial Intelligence: the broadest and most valuable technical skillset of the decade

Artificial Intelligence is not one skill — it is an ecosystem of capabilities. A complete AI professional understands how machines learn from data (ML), how they see and interpret images (Computer Vision), how they understand and generate language (NLP), how they make decisions through trial and error (Reinforcement Learning) and how they generate new content (Generative AI). Companies building serious AI systems need people who understand all of these — not just the one that was trending last year.

At LearnAI Tech Hub, this 10-week programme takes you through the entire AI landscape systematically — starting from Python and ML foundations, progressing through deep learning, computer vision and NLP, and culminating in Reinforcement Learning and Generative AI integration. By the end, you have built AI systems across 5 different domains and have the broadest AI portfolio available from any Hyderabad institute.

What makes this course different

🌐
The broadest AI course available in Hyderabad

This is the only course that covers the complete AI landscape — ML, DL, NLP, Computer Vision, Reinforcement Learning and GenAI — in one structured programme, taught by active professionals.

🏭
Every concept grounded in real industry use cases

Your trainers are solving AI problems at Fortune companies right now. Every algorithm is explained through the lens of how it is actually used — not how it appears in research papers.

🔧
Build a complete AI portfolio across 5 domains

Computer vision project, NLP project, RL agent, GenAI application and a capstone — five distinct portfolio pieces that demonstrate breadth and depth to every employer.

💼
Opens the widest range of AI career doors

AI engineers who understand the full stack — not just one specialisation — are the most consistently hired and the fastest to reach senior roles.

Course Curriculum

9 modules · 10 Weeks · Real projects every week

Every module is taught by an active MNC professional using real tools, real datasets and real architectures — not textbook examples.

01
AI Foundations & Python for AI
10 topics · Week 1
History and landscape of Artificial Intelligence in 2026
Types of AI: narrow AI, AGI concepts and current frontiers
Python for AI: NumPy, Pandas, Matplotlib deep dive
The AI development environment: Jupyter, Google Colab, VS Code
Data types for AI: structured, unstructured, images, text, audio
Project: Exploratory data analysis and insight generation on a real dataset
02
Machine Learning — Core Algorithms
12 topics · Weeks 2–3
Supervised learning: regression and classification algorithms
Random Forest, XGBoost, SVM and ensemble methods
Unsupervised learning: clustering and dimensionality reduction
Model evaluation: metrics, cross-validation and hyperparameter tuning
Feature engineering and selection techniques
Project: End-to-end ML pipeline — fraud detection system
03
Deep Learning — Neural Networks
12 topics · Weeks 3–4
Artificial Neural Networks: architecture, activation functions, backprop
TensorFlow and PyTorch: building and training neural networks
Regularisation: dropout, batch normalisation, early stopping
Optimisation algorithms: SGD, Adam, RMSProp deep dive
GPU training and computational efficiency
Project: Neural network for tabular data prediction — energy consumption forecasting
04
Computer Vision with CNNs
10 topics · Week 5
Convolutional Neural Networks: convolutions, pooling, feature maps
Image classification, object detection and image segmentation
Transfer learning: ResNet, EfficientNet, MobileNet
OpenCV for image processing and real-time video analysis
YOLO for real-time object detection
Project: AI-powered quality control system using computer vision
05
Natural Language Processing
10 topics · Week 6
Text preprocessing, tokenisation, embeddings
RNNs, LSTMs and sequence-to-sequence models
Transformer architecture — attention mechanism explained
BERT, GPT and pre-trained language models
Fine-tuning LLMs with Hugging Face for domain-specific tasks
Project: Intelligent document classification and summarisation system
06
Reinforcement Learning
8 topics · Week 7
RL fundamentals: agent, environment, reward, policy
Q-Learning and Deep Q-Networks (DQN)
Policy gradient methods: REINFORCE, PPO
OpenAI Gym for training RL agents
Multi-armed bandit problems — real business applications
Project: RL agent for automated trading decision optimisation
07
Generative AI & Large Language Models
10 topics · Week 8
GANs: generator, discriminator, training dynamics
Variational Autoencoders (VAEs) for generation
Large Language Models: GPT, Claude, Gemini — architecture overview
Prompt engineering for AI applications
LangChain basics for building AI-powered applications
Project: AI content generation system using LLM API integration
08
AI Ethics, Safety & Responsible AI
6 topics · Week 9
AI bias: sources, detection and mitigation
Explainable AI (XAI): SHAP, LIME for model interpretation
Fairness metrics and responsible ML practices
AI safety fundamentals and Constitutional AI concepts
Data privacy: GDPR, anonymisation and federated learning concepts
Regulatory landscape for AI in India and globally
09
AI Deployment & Career Preparation
10 topics · Week 10
Deploying AI models: Flask, FastAPI, Streamlit
Docker and containerisation for AI applications
Cloud AI services: AWS AI, Azure AI, Google AI Platform
AI system design interview preparation
Capstone project: Full AI application combining multiple AI capabilities
HR placement referral, portfolio review and mock interviews
Get Full Curriculum on WhatsApp →
Tools & Technologies

You will graduate using industry tools — not toy projects

Every tool in this course is currently used by professionals in live production environments across companies worldwide.

🐍
Python
🧠
TensorFlow
🔥
PyTorch
⚙️
Scikit-learn
👁️
OpenCV
📝
NLTK/SpaCy
🤗
Hugging Face
🏋️
OpenAI Gym
🔗
LangChain
⚡
OpenAI API
🧠
Claude API
📊
Matplotlib
Career Outcomes

Roles you will qualify for after this course

Our placement team directly places students from this course into these roles across our 1,000+ client company network — startups to Fortune MNCs.

🧠
AI Engineer
₹7L – ₹22L / year
AI product companies, IT consulting, Fortune companies with AI teams — India, USA, UAE
🤖
ML Engineer
₹7L – ₹20L / year
E-commerce, FinTech, healthcare AI, logistics tech companies across India and globally
👁️
Computer Vision Engineer
₹8L – ₹24L / year
Manufacturing AI, autonomous vehicles, healthcare imaging, security tech companies
📝
NLP Engineer
₹8L – ₹22L / year
EdTech, legal tech, healthcare, customer service automation companies
🎮
AI Research Engineer
₹10L – ₹28L / year
AI labs, R&D departments, gaming companies, robotics firms
🔬
AI Solutions Architect
₹14L – ₹35L / year
Fortune companies, cloud consulting, enterprise digital transformation teams
Average Starting Salary — Freshers (Hyderabad)
Based on our placed students · 2024–2025 batch data
₹5L – ₹22L per year
Who Is This For

This course is designed for you if…

👨‍🎓
Graduates who want the broadest possible AI foundation

If you are not sure which AI specialisation to pursue, this course gives you exposure to all of them — then you can specialise based on what excites you most.

🧑‍💻
Software developers transitioning into AI engineering

Your programming background is a massive advantage. This course adds the AI and ML depth that converts a software engineer into an AI engineer — one of the highest-demand transitions in tech.

📊
Data professionals wanting full AI breadth

You understand data. This course adds every AI capability — vision, language, reinforcement learning and generation — that data professionals typically lack.

🎓
B.Tech and M.Tech CS/IT final year students

The AI course is the strongest portfolio foundation for campus and off-campus placements. Your final year project built during this course will be a complete AI application.

🏥
Domain professionals wanting AI specialisation

Healthcare AI, Finance AI, Manufacturing AI — combine this course with your domain expertise for the most valuable profile in your industry.

💼
Managers and tech leads overseeing AI teams

Understanding the full AI landscape makes you a far more effective technical leader — you can evaluate trade-offs, understand what your team is building and make better technology decisions.

Prerequisites

Basic Python programming School-level mathematics (algebra and statistics) No AI or ML experience required Laptop with 8GB+ RAM recommended
FAQs

Questions about Artificial Intelligence Course?

Not finding your answer? WhatsApp us directly — we respond within 30 minutes.

Ask on WhatsApp →
AI is the broad field of creating intelligent systems. Machine Learning is the most common approach — teaching systems to learn from data. Deep Learning is a subset of ML using neural networks with many layers. In practice, most modern AI systems use deep learning. This course covers all three as a connected progression.
They serve different goals. Data Science focuses on the full data pipeline — cleaning, analysis, ML and BI. This AI course goes deeper into neural networks, computer vision, NLP and RL — the technical depth that AI engineers need. Many students do Data Science first, then this course as a specialisation.
5 substantial projects: a fraud detection ML system, an AI quality control computer vision system, a document classification NLP system, a reinforcement learning trading agent, and a full capstone AI application integrating multiple AI capabilities.
Yes. Week 8 covers GANs, VAEs, LLMs and LangChain integration. However, for a full deep dive into ChatGPT, Claude, Midjourney, Agentic AI and Prompt Engineering, our dedicated Generative AI and Agentic AI courses go much further.
Yes. Weeks 1–2 cover Python for AI in depth before any ML or DL concepts are introduced. Students with basic Python knowledge have consistently completed this course successfully.
AI Engineer, ML Engineer, Computer Vision Engineer, NLP Engineer and Junior AI Research roles are the most common immediate placements. Our HR team actively places AI course graduates across India, USA, UAE and UK.
Ready to start?

Enroll in Artificial Intelligence Course today

Book your free demo class — meet your trainer, see the teaching style, ask everything you want. No commitment, no fees.

Enroll on WhatsApp → Call: +91 93900 23585

📍 Dilsukhnagar, Hyderabad · Online across India & Internationally · Mon–Sat 9AM–8PM

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